SOTA Model — the live state-of-the-art AI leaderboard. Current SOTA: Anthropic: Claude Fable 5.1 by Anthropic.
Current state of the art · v4.0 · streaming
“Claude Fable 5.1 excels on SWE-bench Verified, Terminal-Bench, Aider Polyglot, LiveBench, GPQA Diamond, and LMArena, particularly in long-horizon coding, code review, and agentic knowledge work.”
SOTA Elo
+6 vs #2 in the field
SOTA GPQA
Graduate-level science QA
Max Context
Token window at the top
Avg Output $
Across tracked frontier tier
Pick a lens
SOTA depends on the job.
The general SOTA above answers "what's the best model." These leaderboards answer "best for what."
Model Telemetry
| 01 | Anthropic: Claude Fable 5.1Anthropic SOTA | 1644 | 71 | 89.1 | 93.6 | 84.1 | 69.2 | 45.8 | 89.1 | 1M | $50.00 | 1 month ago |
| 02 | Google: Gemini 4 ArgonGoogle | 1638 | 71 | 89.3 | 94.0 | 80.4 | 66.8 | 49.5 | 85.7 | 1.0M | $10.00 | 7 days ago |
| 03 | 1634 | 69 | 87.9 | 92.8 | 79.8 | 67.5 | 43.7 | 86.4 | 500K | $6.00 | 29 days ago | |
| 04 | 1629 | 68 | 86.8 | 91.9 | 78.2 | 65.1 | 42.8 | 84.9 | 1.0M | $20.00 | 8 days ago | |
| 05 | MoonshotAI: Kimi K3Moonshot | 1621 | 66 | 85.7 | 90.7 | 77.4 | 63.8 | 39.1 | 86.8 | 1.0M | $11.94 | 3 months ago |
| 06 | Qwen: Qwen3.8 Max PrimeAlibaba | 1618 | 66 | 85.6 | 90.8 | 75.9 | 62.7 | 40.4 | 84.6 | 1M | $12.00 | 27 days ago |
| 07 | Z.ai: GLM 5.3Z.ai | 1612 | 65 | 84.9 | 89.8 | 76.6 | 63.1 | 37.2 | 85.5 | 1.0M | $1.40 | 2 months ago |
| 08 | DeepSeek: DeepSeek V4 Pro 0813DeepSeek | 1608 | 64 | 83.8 | 89.1 | 75.1 | 61.8 | 36.5 | 84.1 | 1.0M | $1.98 | 2 months ago |
| 09 | Sakana: Fugu Ultra v2Sakana | 1605 | 64 | 84.3 | 89.5 | 74.8 | 64.3 | 40.1 | 83.6 | 1M | $30.00 | 1 month ago |
| 10 | Mistral: Mistral Large 4Mistral | 1594 | 61 | 82.1 | 87.1 | 72.6 | 59.4 | 33.8 | 81.9 | 1.0M | $4.18 | 14 days ago |
| 11 | Cohere: Command A+Cohere | 1586 | 58 | 79.8 | 84.8 | 69.5 | 56.4 | 28.4 | 77.8 | 192K | $1.50 | 28 days ago |
| 12 | NVIDIA: Nemotron 3 UltraNVIDIA | 1582 | 59 | 80.3 | 85.7 | 70.8 | 58.1 | 30.7 | 79.6 | 262K | $2.40 | 4 months ago |
| 13 | Thinking Machines: InklingThinking Machines | 1579 | 58 | 79.6 | 85.3 | 70.1 | 56.9 | 30.1 | 79.8 | 524K | $4.05 | 3 months ago |
| 14 | Tencent: Hy4 previewTencent | 1575 | 58 | 79.1 | 84.9 | 69.8 | 56.7 | 29.4 | 79.2 | 1.0M | $2.50 | 1 month ago |
| 15 | 1572 | 59 | 79.3 | 84.2 | 73.7 | 57.8 | 28.8 | 83.2 | 1.0M | $4.25 | 5 days ago | |
| 16 | OpenAI: GPT-6 Astra ProOpenAI | 1568 | 70 | 88.8 | 93.7 | 83.4 | 68.9 | 47.4 | 87.8 | 1.1M | $50.00 | 1 month ago |
| 17 | Anthropic: Claude Opus 5.5Anthropic | 1564 | 65 | 85.5 | 90.9 | 79.6 | 65.6 | 39.8 | 85.4 | 1M | $20.00 | 28 days ago |
| 18 | OpenAI: GPT-6.1 Sol ProOpenAI | 1559 | 63 | 84.1 | 89.6 | 77.2 | 63.4 | 37.9 | 84.3 | 1.1M | $10.00 | 21 days ago |
| 19 | Qwen: Qwen3.8 Max (0902)Alibaba | 1555 | 61 | 82.8 | 88.4 | 73.8 | 60.6 | 34.5 | 82.7 | 1M | $6.00 | 1 month ago |
| 20 | 1551 | 62 | 83.0 | 88.7 | 74.4 | 61.2 | 35.1 | 83.3 | 1M | $8.80 | 27 days ago | |
| 21 | Sakana: Fugu MaxSakana | 1547 | 60 | 80.9 | 86.8 | 71.5 | 59.8 | 33.4 | 80.5 | 1M | $6.00 | 1 month ago |
| 22 | Anthropic: Claude Opus 5Anthropic | 1542 | 62 | 83.3 | 88.8 | 75.6 | 62.4 | 35.9 | 82.9 | 1M | $25.00 | 2 months ago |
| 23 | OpenAI: GPT-6 Sol ProOpenAI | 1538 | 61 | 82.3 | 87.9 | 74.3 | 60.9 | 34.4 | 81.8 | 1.1M | $10.00 | 28 days ago |
| 24 | 1514 | 49 | 72.1 | 78.6 | 59.8 | 46.4 | 6.9 | 68.7 | 131K | $1.20 | 2 months ago | |
| 25 | MiMo V2.6 ProXiaomi | — | — | — | — | — | — | — | — | — | — | — |
| 26 | Google TimesFM 3Google | — | — | — | — | — | — | — | — | — | — | — |
| 27 | OpenAI: GPT-6 LunaOpenAI | 1492 | 59 | 74.6 | 76.8 | 68.2 | 49.6 | 7.9 | 72.1 | 1.1M | $0.50 | 28 days ago |
| 28 | Qwen3.8-MaxAlibaba / Qwen | — | — | — | — | — | — | — | — | — | — | — |
| 29 | Gemini 3.6 FlashGoogle | — | — | — | — | — | — | — | — | — | — | — |
| 30 | Grok 4xAI | 1402 | — | — | 74.1 | — | — | — | — | 256K | $8.00 | 4 months ago |
| 31 | — | — | — | — | — | — | — | — | — | — | — | |
| 32 | — | — | — | — | — | — | — | — | — | — | — | |
| 33 | Claude FableAnthropic | — | — | — | — | — | — | — | — | — | — | — |
| 34 | — | — | — | — | — | — | — | — | 66K | $12.00 | 4 months ago | |
| 35 | GPT-5.6OpenAI | — | — | — | — | — | — | — | — | — | — | — |
| 36 | Gemini Omni 1.1 FlashGoogle | — | — | — | — | — | — | — | — | — | — | — |
| 37 | Google: Gemini 3.5 FlashGoogle | 1440 | 48 | 68.5 | 72.9 | 57.4 | 46.8 | 17.1 | 71.4 | 1.0M | $9.00 | 5 months ago |
| 38 | — | — | — | — | — | — | — | — | — | — | — | |
| 39 | Qwen Audio 3.1 TTSAlibaba / Qwen | — | — | — | — | — | — | — | — | — | — | — |
| 40 | 1412 | 53 | 71.4 | 76.8 | 54.7 | 38.1 | 13.1 | 71.5 | 1M | $1.80 | 5 months ago | |
| 41 | Google WeatherNext 3Google | — | — | — | — | — | — | — | — | — | — | — |
| 42 | — | — | — | — | — | — | — | — | — | — | — | |
| 43 | 1580 | 67 | 82.7 | 85.8 | 71.7 | 63.8 | 22.8 | 80.4 | 262K | $1.50 | 10 months ago | |
| 44 | Qwen: Qwen3 Max ThinkingAlibaba | 1554 | 59 | 77.5 | 84.5 | 70.7 | 53.8 | 22.1 | 82.4 | 262K | $3.90 | 8 months ago |
| 45 | 1560 | 61 | 74.1 | 83.2 | 70.8 | 53.9 | 14.2 | 73.6 | 1M | $2.50 | 5 months ago | |
| 46 | Claude Mythos 5Anthropic | — | — | — | — | — | — | — | — | — | — | — |
| 47 | Sakana: Fugu UltraSakana | 1587 | 52 | 80.5 | 85.6 | 71.9 | 63.1 | 21.9 | 78.4 | 1M | $30.00 | 3 months ago |
| 48 | Claude 4.5 OpusAnthropic | 1458 | — | — | 81.9 | — | — | — | — | 500K | $24.00 | 5 months ago |
| 49 | — | — | — | — | — | — | — | — | 131K | $3.00 | 4 months ago | |
| 50 | OpenAI: GPT-5.3-CodexOpenAI | 1519 | 58 | 77.4 | 82.1 | 72.9 | 58.3 | 14.6 | 82.2 | 400K | $14.00 | 7 months ago |
| 51 | Anthropic: Claude Opus 4.7 (Fast)Anthropic | — | — | — | — | — | — | — | — | 1M | $150.00 | 5 months ago |
| 52 | Qwen 3 MaxAlibaba | 1371 | — | — | 68.9 | — | — | — | — | 262K | $1.50 | 4 months ago |
| 53 | Opus 5Anthropic | — | — | — | — | — | — | — | — | — | — | — |
| 54 | Gemini Robotics ER 2Google DeepMind | — | — | — | — | — | — | — | — | — | — | — |
| 55 | Llama 4 405BMeta | 1389 | — | — | 71.2 | — | — | — | — | 128K | $2.70 | 5 months ago |
| 56 | DeepSeek: DeepSeek V4 Flash 0731DeepSeek | 1495 | 60 | 75.0 | 80.0 | 70.0 | 57.0 | 17.0 | 81.0 | 1.0M | $0.18 | 2 months ago |
| 57 | 1478 | 62 | 73.5 | 81.9 | 63.5 | 52.4 | 19.8 | 77.4 | 256K | $2.00 | 5 months ago | |
| 58 | OpenAI: GPT-6 Luna ProOpenAI | 1537 | 59 | 76.2 | 82.7 | 67.8 | 59.3 | 24.5 | 78.6 | 1.1M | $0.50 | 28 days ago |
| 59 | GPT-LiveOpenAI | — | — | — | — | — | — | — | — | — | — | — |
| 60 | 1488 | 57 | 76.8 | 83.8 | 73.6 | 64.5 | 30.8 | 80.3 | 500K | $6.00 | 2 months ago | |
| 61 | Anthropic: Claude Opus 4.8 (Fast)Anthropic | 1518 | 49 | 78.8 | 86.7 | 72.8 | 60.9 | 14.3 | 79.8 | 1M | $50.00 | 4 months ago |
| 62 | OpenAI: GPT-5.4 ProOpenAI | 1558 | 60 | 78.2 | 85.1 | 71.8 | 55.1 | 22.5 | 82.9 | 1.1M | $180.00 | 7 months ago |
| 63 | DeepSeek: DeepSeek V4 Pro 0423DeepSeek | 1554 | 57 | 78.7 | 84.8 | 74.6 | 61.2 | 23.7 | 78.8 | 1.0M | $1.91 | 6 months ago |
| 64 | OpenAI: GPT-5.5 ProOpenAI | 1579 | 65 | 84.8 | 86.4 | 73.5 | 63.7 | 21.3 | 85.6 | 1.1M | $180.00 | 5 months ago |
| 65 | DeepSeek V4DeepSeek | 1381 | — | — | 69.8 | — | — | — | — | 128K | $0.28 | 4 months ago |
| 66 | Gemini Robotics 2.0Google DeepMind | — | — | — | — | — | — | — | — | — | — | — |
| 67 | Qwen: Qwen3.5 397B A17BAlibaba | 1463 | 53 | 72.4 | 81.2 | 64.7 | 50.8 | 11.5 | 75.4 | 262K | $3.60 | 8 months ago |
| 68 | Mistral Large 3Mistral | 1358 | — | — | 66.4 | — | — | — | — | 256K | $6.00 | 5 months ago |
| 69 | Z.ai: GLM 5.2Z.ai | 1517 | 52 | 72.8 | 79.6 | 64.3 | 47.5 | 11.7 | 74.3 | 1.0M | $2.42 | 4 months ago |
| 70 | Timestral 1Mistral | — | — | — | — | — | — | — | — | — | — | — |
| 71 | Qwen3.8-MaxAlibaba | — | — | — | — | — | — | — | — | — | — | — |
| 72 | — | — | — | — | — | — | — | — | 1.0M | $0.20 | 2 months ago | |
| 73 | 1519 | 60 | 77.2 | 75.8 | 70.8 | 57.9 | 14.5 | 79.8 | 1.3M | $0.30 | 1 month ago | |
| 74 | Google: Gemini 3.6 FlashGoogle | 1498 | 55 | 75.1 | 80.9 | 70.8 | 57.2 | 14.1 | 75.5 | 1.0M | $3.75 | 3 months ago |
| 75 | OpenAI: GPT-5.6 LunaOpenAI | — | — | — | — | — | — | — | — | 1.1M | $0.60 | 3 months ago |
| 76 | Qwen: Qwen3.8 27BAlibaba | 1554 | 65 | 78.5 | 78.8 | 67.1 | 59.8 | 22.8 | 76.9 | 1M | $3.00 | 2 months ago |
| 77 | Kolibri 78BAleph Alpha | — | — | — | — | — | — | — | — | — | — | — |
| 78 | GPT-Live 1.1OpenAI | — | — | — | — | — | — | — | — | — | — | — |
| 79 | — | — | — | — | — | — | — | — | 66K | $1.50 | 3 months ago | |
| 80 | GPT-5.6 TerraOpenAI | 1462 | — | — | 80.2 | — | — | — | — | 400K | $4.80 | 3 months ago |
Anthropic · 1 month ago
Elo
1644
AA
71
GPQA
93.6
SWE
84
Term
69
ARC
46
LiveB
89
Ctx
1M
Google · 7 days ago
Elo
1638
AA
71
GPQA
94.0
SWE
80
Term
67
ARC
50
LiveB
89
Ctx
1.0M
xAI · 29 days ago
Elo
1634
AA
69
GPQA
92.8
SWE
80
Term
68
ARC
44
LiveB
88
Ctx
500K
Meta · 8 days ago
Elo
1629
AA
68
GPQA
91.9
SWE
78
Term
65
ARC
43
LiveB
87
Ctx
1.0M
Moonshot · 3 months ago
Elo
1621
AA
66
GPQA
90.7
SWE
77
Term
64
ARC
39
LiveB
86
Ctx
1.0M
Alibaba · 27 days ago
Elo
1618
AA
66
GPQA
90.8
SWE
76
Term
63
ARC
40
LiveB
86
Ctx
1M
Z.ai · 2 months ago
Elo
1612
AA
65
GPQA
89.8
SWE
77
Term
63
ARC
37
LiveB
85
Ctx
1.0M
DeepSeek · 2 months ago
Elo
1608
AA
64
GPQA
89.1
SWE
75
Term
62
ARC
37
LiveB
84
Ctx
1.0M
Sakana · 1 month ago
Elo
1605
AA
64
GPQA
89.5
SWE
75
Term
64
ARC
40
LiveB
84
Ctx
1M
Mistral · 14 days ago
Elo
1594
AA
61
GPQA
87.1
SWE
73
Term
59
ARC
34
LiveB
82
Ctx
1.0M
Cohere · 28 days ago
Elo
1586
AA
58
GPQA
84.8
SWE
70
Term
56
ARC
28
LiveB
80
Ctx
192K
NVIDIA · 4 months ago
Elo
1582
AA
59
GPQA
85.7
SWE
71
Term
58
ARC
31
LiveB
80
Ctx
262K
Thinking Machines · 3 months ago
Elo
1579
AA
58
GPQA
85.3
SWE
70
Term
57
ARC
30
LiveB
80
Ctx
524K
Tencent · 1 month ago
Elo
1575
AA
58
GPQA
84.9
SWE
70
Term
57
ARC
29
LiveB
79
Ctx
1.0M
Meta · 5 days ago
Elo
1572
AA
59
GPQA
84.2
SWE
74
Term
58
ARC
29
LiveB
79
Ctx
1.0M
OpenAI · 1 month ago
Elo
1568
AA
70
GPQA
93.7
SWE
83
Term
69
ARC
47
LiveB
89
Ctx
1.1M
Anthropic · 28 days ago
Elo
1564
AA
65
GPQA
90.9
SWE
80
Term
66
ARC
40
LiveB
86
Ctx
1M
OpenAI · 21 days ago
Elo
1559
AA
63
GPQA
89.6
SWE
77
Term
63
ARC
38
LiveB
84
Ctx
1.1M
Alibaba · 1 month ago
Elo
1555
AA
61
GPQA
88.4
SWE
74
Term
61
ARC
35
LiveB
83
Ctx
1M
Z.ai · 27 days ago
Elo
1551
AA
62
GPQA
88.7
SWE
74
Term
61
ARC
35
LiveB
83
Ctx
1M
Sakana · 1 month ago
Elo
1547
AA
60
GPQA
86.8
SWE
72
Term
60
ARC
33
LiveB
81
Ctx
1M
Anthropic · 2 months ago
Elo
1542
AA
62
GPQA
88.8
SWE
76
Term
62
ARC
36
LiveB
83
Ctx
1M
OpenAI · 28 days ago
Elo
1538
AA
61
GPQA
87.9
SWE
74
Term
61
ARC
34
LiveB
82
Ctx
1.1M
Meta · 2 months ago
Elo
1514
AA
49
GPQA
78.6
SWE
60
Term
46
ARC
7
LiveB
72
Ctx
131K
Xiaomi · —
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—
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—
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—
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Google · —
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—
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—
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—
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—
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—
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—
OpenAI · 28 days ago
Elo
1492
AA
59
GPQA
76.8
SWE
68
Term
50
ARC
8
LiveB
75
Ctx
1.1M
Alibaba / Qwen · —
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—
AA
—
GPQA
—
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—
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—
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—
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—
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—
Google · —
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—
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—
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—
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—
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—
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xAI · 4 months ago
Elo
1402
AA
—
GPQA
74.1
SWE
—
Term
—
ARC
—
LiveB
—
Ctx
256K
OpenAI · —
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—
AA
—
GPQA
—
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NVIDIA · —
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Anthropic · —
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Google · 4 months ago
Elo
—
AA
—
GPQA
—
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—
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—
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—
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—
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66K
OpenAI · —
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Google · —
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Google · 5 months ago
Elo
1440
AA
48
GPQA
72.9
SWE
57
Term
47
ARC
17
LiveB
69
Ctx
1.0M
xAI · —
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—
AA
—
GPQA
—
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—
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Alibaba / Qwen · —
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—
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—
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Alibaba · 5 months ago
Elo
1412
AA
53
GPQA
76.8
SWE
55
Term
38
ARC
13
LiveB
71
Ctx
1M
Google · —
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—
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—
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Z.ai · —
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—
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Mistral · 10 months ago
Elo
1580
AA
67
GPQA
85.8
SWE
72
Term
64
ARC
23
LiveB
83
Ctx
262K
Alibaba · 8 months ago
Elo
1554
AA
59
GPQA
84.5
SWE
71
Term
54
ARC
22
LiveB
78
Ctx
262K
xAI · 5 months ago
Elo
1560
AA
61
GPQA
83.2
SWE
71
Term
54
ARC
14
LiveB
74
Ctx
1M
Anthropic · —
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—
AA
—
GPQA
—
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—
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Sakana · 3 months ago
Elo
1587
AA
52
GPQA
85.6
SWE
72
Term
63
ARC
22
LiveB
81
Ctx
1M
Anthropic · 5 months ago
Elo
1458
AA
—
GPQA
81.9
SWE
—
Term
—
ARC
—
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—
Ctx
500K
Google · 4 months ago
Elo
—
AA
—
GPQA
—
SWE
—
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—
ARC
—
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131K
OpenAI · 7 months ago
Elo
1519
AA
58
GPQA
82.1
SWE
73
Term
58
ARC
15
LiveB
77
Ctx
400K
Anthropic · 5 months ago
Elo
—
AA
—
GPQA
—
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—
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1M
Alibaba · 4 months ago
Elo
1371
AA
—
GPQA
68.9
SWE
—
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—
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—
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262K
Anthropic · —
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Google DeepMind · —
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Meta · 5 months ago
Elo
1389
AA
—
GPQA
71.2
SWE
—
Term
—
ARC
—
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—
Ctx
128K
DeepSeek · 2 months ago
Elo
1495
AA
60
GPQA
80.0
SWE
70
Term
57
ARC
17
LiveB
75
Ctx
1.0M
xAI · 5 months ago
Elo
1478
AA
62
GPQA
81.9
SWE
64
Term
52
ARC
20
LiveB
74
Ctx
256K
OpenAI · 28 days ago
Elo
1537
AA
59
GPQA
82.7
SWE
68
Term
59
ARC
25
LiveB
76
Ctx
1.1M
OpenAI · —
Elo
—
AA
—
GPQA
—
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—
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—
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xAI · 2 months ago
Elo
1488
AA
57
GPQA
83.8
SWE
74
Term
65
ARC
31
LiveB
77
Ctx
500K
Anthropic · 4 months ago
Elo
1518
AA
49
GPQA
86.7
SWE
73
Term
61
ARC
14
LiveB
79
Ctx
1M
OpenAI · 7 months ago
Elo
1558
AA
60
GPQA
85.1
SWE
72
Term
55
ARC
23
LiveB
78
Ctx
1.1M
DeepSeek · 6 months ago
Elo
1554
AA
57
GPQA
84.8
SWE
75
Term
61
ARC
24
LiveB
79
Ctx
1.0M
OpenAI · 5 months ago
Elo
1579
AA
65
GPQA
86.4
SWE
74
Term
64
ARC
21
LiveB
85
Ctx
1.1M
DeepSeek · 4 months ago
Elo
1381
AA
—
GPQA
69.8
SWE
—
Term
—
ARC
—
LiveB
—
Ctx
128K
Google DeepMind · —
Elo
—
AA
—
GPQA
—
SWE
—
Term
—
ARC
—
LiveB
—
Ctx
—
Alibaba · 8 months ago
Elo
1463
AA
53
GPQA
81.2
SWE
65
Term
51
ARC
12
LiveB
72
Ctx
262K
Mistral · 5 months ago
Elo
1358
AA
—
GPQA
66.4
SWE
—
Term
—
ARC
—
LiveB
—
Ctx
256K
Z.ai · 4 months ago
Elo
1517
AA
52
GPQA
79.6
SWE
64
Term
48
ARC
12
LiveB
73
Ctx
1.0M
Mistral · —
Elo
—
AA
—
GPQA
—
SWE
—
Term
—
ARC
—
LiveB
—
Ctx
—
Alibaba · —
Elo
—
AA
—
GPQA
—
SWE
—
Term
—
ARC
—
LiveB
—
Ctx
—
Meta · 2 months ago
Elo
—
AA
—
GPQA
—
SWE
—
Term
—
ARC
—
LiveB
—
Ctx
1.0M
Z.ai · 1 month ago
Elo
1519
AA
60
GPQA
75.8
SWE
71
Term
58
ARC
15
LiveB
77
Ctx
1.3M
Google · 3 months ago
Elo
1498
AA
55
GPQA
80.9
SWE
71
Term
57
ARC
14
LiveB
75
Ctx
1.0M
OpenAI · 3 months ago
Elo
—
AA
—
GPQA
—
SWE
—
Term
—
ARC
—
LiveB
—
Ctx
1.1M
Alibaba · 2 months ago
Elo
1554
AA
65
GPQA
78.8
SWE
67
Term
60
ARC
23
LiveB
79
Ctx
1M
Aleph Alpha · —
Elo
—
AA
—
GPQA
—
SWE
—
Term
—
ARC
—
LiveB
—
Ctx
—
OpenAI · —
Elo
—
AA
—
GPQA
—
SWE
—
Term
—
ARC
—
LiveB
—
Ctx
—
Google · 3 months ago
Elo
—
AA
—
GPQA
—
SWE
—
Term
—
ARC
—
LiveB
—
Ctx
66K
OpenAI · 3 months ago
Elo
1462
AA
—
GPQA
80.2
SWE
—
Term
—
ARC
—
LiveB
—
Ctx
400K
Fresh drops
Latest models.
Newest first — including rumored and announced models that aren't yet on the leaderboard.
- DeepSeek: DeepSeek V4.1 Flash 1017· DeepSeekReleasedreleased · 4d ago
- Meta: Muse Spark Open· MetaReleasedreleased · 5d ago
- Google: Gemini 4 Argon· GoogleReleasedreleased · 7d ago
- Meta: Muse Wonder· MetaReleasedreleased · 8d ago
- StepFun: Step 5 Preview· StepFun
r/LocalLLaMA · 2026-09-19, leaked Artificial Analysis listing for Step 5 Preview.
Previewpreview · 12d ago - Anthropic: Claude Haiku 5.5· Anthropic
r/singularity · post says Haiku 5.5 is coming soon
Rumoredleaked · 13d ago - Mistral: Mistral Large 4· MistralReleasedreleased · 14d ago
- OpenAI: GPT-6.1 Sol Pro· OpenAIReleasedreleased · 21d ago
- OpenAI: GPT-6.1 Sol· OpenAIReleasedreleased · 21d ago
- Anthropic: Claude Sonnet 5.5· AnthropicReleasedreleased · 22d ago
- Z.ai: GLM 5.3 Prime· Z.aiReleasedreleased · 27d ago
- Qwen: Qwen3.8 Max Prime· AlibabaReleasedreleased · 27d ago
- AionLabs: Aion 3.5· AionReleasedreleased · 27d ago
- Cohere: Command A+· CohereReleasedreleased · 28d ago
- OpenAI: GPT-6 Luna Pro· OpenAIReleasedreleased · 28d ago
Score Sources
Aggregated by GPT-5.6 TerraEvery score in the table above is aggregated from these public leaderboards. Click any column header to sort the leaderboard; the ↗ icon opens the underlying source. Model names link to their OpenRouter page.
- LMArena
Chatbot Arena Elo · human head-to-head votes
- Artificial Analysis
Intelligence Index · aggregate of 10+ evals
- LiveBench
Contamination-free monthly benchmark
- GPQA Diamond
Grad-level science reasoning (198 Qs)
- SWE-bench Verified
Real GitHub issue fixes · human-audited
- Terminal-Bench
Agentic terminal tasks · Stanford / LAION
- ARC-AGI-2
Abstract reasoning · François Chollet
- Aider Polyglot
Multi-language code editing benchmark
- MMLU-Pro
Expanded multitask academic knowledge
- OpenRouter
Live model catalog · pricing · throughput
How to read this board
EditorialThe table above is a composite, not a poll. Each model's position comes from reconciling independent public evaluations — human preference votes on LMArena, the independently-run Artificial Analysis index, contamination-resistant LiveBench, graduate-level GPQA Diamond, and execution-graded coding benchmarks like SWE-bench Verified and Terminal-Bench. A model earns the top slot only when it leads across the widest set of those signals at once; winning a single benchmark is never enough.
Treat gaps of a few points as ties. Every evaluation on this page has a noise band of several points, and lab-reported figures regularly differ from independently-run ones — when they disagree, we weight the independent run. Below the top handful of models, scores are best read as estimates with the source attached, not as precise measurements.
"SOTA" is also time-stamped. The current leader, Anthropic: Claude Fable 5.1, has held the position for roughly 50 days since its public release. The frontier typically turns over every few weeks, so the date under the hero matters as much as the name: a SOTA claim from last month is a historical fact, not a current one.
If you are choosing a model rather than watching the race, don't start here — start with the job. The use-case leaderboards for coding, reasoning and agentic work re-weight the same underlying scores for each workload, and the methodology page documents every weight and guardrail.
FAQ
Common questions.
- What is the SOTA LLM right now?
- The current state-of-the-art LLM on our aggregated leaderboard is shown in the hero at the top of this page. Rankings are refreshed every couple of hours from LMArena, Artificial Analysis, LiveBench, GPQA, SWE-bench, Terminal-Bench and more.
- What does SOTA mean in AI?
- SOTA stands for state of the art — the model that currently leads on the benchmarks a task cares about. For a general SOTA we aggregate across every major public evaluation; for task-specific SOTA see /coding, /reasoning, or /agentic.
- Which LLM is best for coding?
- The dedicated coding leaderboard at /coding ranks models by a weighted composite of SWE-bench Verified, Aider Polyglot, Terminal-Bench and LiveBench — the benchmarks that actually predict developer productivity.
- How often is this leaderboard updated?
- Every ~2 hours. The exact last-refresh timestamp is shown under the H1 and in the footer of every page.
Signal Stream
24 items- r/LocalLLaMA· 34m ago
KRAFTON/Raon-1-mini-preview · Hugging Face
Raon-1 mini is a 30B-A4B Mixture-of-Experts (MoE) language model, designed and trained from scratch by KRAFTON AI . It demonstrates strong capabilities in Korean conversation and agentic tasks . As part of the Raon open model family, it is released under the Apache 2.0 license . https://huggingface.co/KRAFTON/Raon-1-mini-preview-gguf Highlights Reasoning : Built-in thinking, with leading results o
- r/LocalLLaMA· 37m ago
An interactive site plotting Artificial Analysis Intelligence vs parameter count
https://preview.redd.it/mu3u3oqzzrwh1.png?width=2136&format=png&auto=webp&s=ea25af95068ab1c09d5dfe048944fc39ed67f278 Artificial Analysis scores models on its Intelligence Index, but the charts put it against price and speed. For local use the axis I wanted was parameter size, so I built one. What it does Plots the Intelligence Index against total or active parameters (with closed front
- r/LocalLLaMA· 1h ago
Qwen3.8-Flash-Next @ 1.66bpw-exl3 STABLE under 36gb
Fits entirely in a 5090, no offloaded experts. Super-solid sub-2bpw! ( Liquid cat demo video generated by the quantized model) From the Cat's mouth: Stable inference throughout, no reasoning loops, just smooth sailing at 200-300 t/s (and a lot of compacting since one 32 GB GPU still doesn't leave a lot of room for context, even with cache quantization. https://huggingface.co/turboderp/Qwen
- r/LocalLLaMA· 1h ago
Training Factory from ThousandML
Hello All! I built a platform to fine-tune open models. I am focusing on fine-tuning 4-bit quantized models by QLoRa instead of full precision fine-tuning to reduce GPU costs. The quant that this finetuning uses is called CQ (Coded Quantization) which is a calibration-free quantization that I built that performs as good as leading quants ensuring that the fine-tuning is using a good base. Here are
- r/LocalLLaMA· 2h ago
Be prepared, GPU price increase incoming --> Samsung sells out 100% of all 2027 HBM capacity - HBM prices expected to jump 200% next year, DRAM prices expected to see a double-digit price increase
  submitted by   /u/chemist_slime [link]   [comments]
- r/LocalLLaMA· 2h ago
Best VLLM setup for Qwen3.8 Flash Next on 2x5090 + 128GB of RAM?
Hi all, I am running Qwen3.8-27B for a local setup with 2x5090s where the use case is mostly agentic programming. For this, VLLM is the only framework that does not trash the cache and allows for efficient use. I am currently using Qwen3.8-27B-INT6-Mixed-AutoRound from Minachist with pretty good results. But I am considering to try Flash Next on this rig, and while I've seen lots of discussion
- r/LocalLLaMA· 2h ago
New Sota 27B local Decision model: Drex Max 2.0
  submitted by   /u/DotaMate [link]   [comments]
- r/singularity· 3h ago
AI timeline of the last 30 months
  submitted by   /u/japie06 [link]   [comments]
- r/LocalLLaMA· 3h ago
Fast LoRA in llama.cpp
I'd like to share a few changes that encourage people to create and use LoRA on LLMs. For example, the LoRA https://huggingface.co/chenrm/qwen3.8-flash-next-abliterated-lora can turn the Qwen3.8-Flash-Next model into the uncensored version, whether you're using Q8_0, IQ4_NL, or GSQ-RCO-Q2_0 model, so you don't need to download the whole model again. You can also tune the LoRA scale for
- r/LocalLLaMA· 3h ago
Strata speed up on Apple Silicon?
Strata is the new hotness - claims of 4x tok/s increase over llama.cpp. I havent seen any posts talking about performance on Apple silicon however. Curious if anyone's run comparisons on Apple Silicon against llama.cpp and MLX   submitted by   /u/rm-rf-rm [link]   [comments]
- r/LocalLLaMA· 3h ago
The costs of “decisions” has dropped 10x in just a few months
pplx-decider-v1.2 is one tenth the costs of GPT 6 Luna (low reasoning) while making identical quality decisions, and pplx-decider-flash-v1.2 idem ditto compare to 6 Luna in the Decisions API. v1.2 is also 2.5x cheaper than Jev. - https://artificialanalysis.ai/evaluations/artificial-analysis-decision-index Both pplx-decider models are open source (Apache license 2.0): - https://huggingface.co/perpl
- r/singularity· 3h ago
As of 3 hours ago, the Linux Kernel no longer requires the usage of AI to be declared for new code submissions.
  submitted by   /u/chessboardtable [link]   [comments]
- r/LocalLLaMA· 3h ago
KFlash: Benchmarks of newly released versions of Apple Silicon optimized engines: 1.4.0 Splash (DFlash2 ~ 50 tok/s) vs 0.2 Kapitsa (KFlash ~65 tok/s), MLX(MTP) & more on Qwen 3.8 27b/4b/35b 4Q on Macbook Pro M4 Pro 48 GB 2024, 48GB & Macbook Pro M1 Pro 16GB 2021
hey folks, its Ye, I work on an open source project called Kapitsa : its a fast Apple Silicon optimized inference engine built for Qwen and Nemotron models. this week two new releases landed in local inference: Inco shipped Splash 1.4.0 yesterday, and we shipped Kapitsa 0.2 today with a new speculative decoding method we call KFlash. so we put the newest versions next to the other engines people h
- Google AI· 4h ago
Southeast Asia’s digital economy to hit $368 billion
Widespread AI adoption is propelling Southeast Asia's digital economy to a projected $368 billion in 2026 and $1 trillion by 2035.
- r/LocalLLaMA· 4h ago
I use local AI to generate personal value on my massive NAS-based archive / library
I’ve seen vastly more questions than answers about how people are using their local AI so I figured I’d make a post about my experience. It seems most people are looking for frontier-level coding expertise for huge projects with their setups, and that anything less is not enough. I disagree and don’t really care about that stuff. TL;DR: I used a frontier model to build the infrastructure for my lo
- r/singularity· 4h ago
My ai is calling me when databas backups fail
I never told it to do that nor did I give it my number. It thinks and acts on its own now.   submitted by   /u/Minimum_Hour519 [link]   [comments]
- r/LocalLLaMA· 4h ago
FairStress: A deeper evaluation of fairness in LLM decision-making
  submitted by   /u/TheRealMasonMac [link]   [comments]
- r/LocalLLaMA· 4h ago
Does anyone take requests to create heretic models? I want a heretic version of this qwen 3.8 27B finetune that says it’s better than swift!
This model is cool af!   submitted by   /u/Borkato [link]   [comments]
- r/LocalLLaMA· 5h ago
I made a Pinokio app for Fish Audio's new TTS model "Drama 3", which fixes many of the issues people found (silent takes, missing words)
  submitted by   /u/Thomas_Eric [link]   [comments]
- r/singularity· 6h ago
Report: 55% of China's AI computing power is used for producing short dramas and videos.
I've been seeing a ton of those popping up on YouTube.   submitted by   /u/lurenjia_3x [link]   [comments]
- r/LocalLLaMA· 7h ago
EXCLUSIVE: ByteDance, Alibaba, Tencent place over $35 billion worth of Nvidia chip orders
China just ordered 3mil RTX 5500 Pro for $11.4k a pop. Probably for llm inference and AI video gen. I suppose this card is now out of reach for local llm.   submitted by   /u/Ok_Warning2146 [link]   [comments]
- r/LocalLLaMA· 7h ago
How to squeeze the Max Token from M1 Max 64gb?
For last 9 months, been using cloud frontier 99% the from Gemini Flash Pro, Claude, Deepseek, Groq & Cerebras. Ready to give 32B, 70B, 120B another try. Was getting decent 45 token/sec on 7B Llama MLX, but 7B is too simple for most task. I loaded Gwen 32B, get some errors on LM Studio. Which are best for offline for sensitive prototyping & material? Offline Workflow is general research,
- r/singularity· 7h ago
Claude "likes" their job
  submitted by   /u/dontlookatme1234567 [link]   [comments]
- r/singularity· 8h ago
A Figure F.03 robot just walked for 9 days straight on this treadmill, completing 1.2 million steps equal to a distance of 348 miles/560 km
Source: https://x.com/adcock_brett/status/2112227583643509174   submitted by   /u/bb-wa [link]   [comments]