#72Alibaba· released 2026-07-27

Qwen: Qwen3.7 Flash.

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...

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Context
1.0M
Input $/1M
$0.03
Output $/1M
$0.13
Modality
text · image · video
Arena Elo
1510
LMArena — human blind votes
AA Index
63.0
Artificial Analysis composite
LiveBench
75.9
Contamination-resistant
GPQA
82.3%
Grad-level science reasoning
MMLU-Pro
82.5%
Broad knowledge
SWE-bench
65.9%
Real GitHub bugs (Verified)
Terminal-Bench
49.8%
Agentic shell tasks
ARC-AGI
16.8%
Abstract reasoning
Aider Polyglot
76.7%
Multi-language code editing
Speed
154 tok/s
Median output speed

Profile

Qwen: Qwen3.7 Flash is Alibaba's entry at position #72 on the current aggregated leaderboard. Its strongest signals are graduate-level science reasoning, real-world software engineering, unattended agentic work, and cost efficiency. Every figure below is aggregated from the public sources listed on the homepage and refreshed on each pipeline run.

The score spread is comparatively complete for this model, but the standing advice still applies: treat gaps of a few points as ties and validate on your own workload before committing.

How this model's position is computed is documented in the methodology; what each benchmark actually measures is in the benchmark guide. See a figure that disagrees with its source? Report it — accepted corrections apply on the next refresh.

Nearby on the leaderboard