#41Alibaba· released 2026-02-16

Qwen: Qwen3.5 397B A17B.

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...

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Context
262K
Input $/1M
$0.50
Output $/1M
$3.60
Modality
text · image · video
Arena Elo
1463
LMArena — human blind votes
AA Index
53.0
Artificial Analysis composite
LiveBench
72.4
Contamination-resistant
GPQA
81.2%
Grad-level science reasoning
MMLU-Pro
82.5%
Broad knowledge
SWE-bench
64.7%
Real GitHub bugs (Verified)
Terminal-Bench
50.8%
Agentic shell tasks
ARC-AGI
11.5%
Abstract reasoning
Aider Polyglot
75.4%
Multi-language code editing
Speed
64 tok/s
Median output speed

Profile

Qwen: Qwen3.5 397B A17B is Alibaba's entry at position #41 on the current aggregated leaderboard. Its strongest signals are graduate-level science reasoning, real-world software engineering, unattended agentic work. 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