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Alibaba

Qwen3 235B A22B 2507 (Reasoning)

ReasoningOpen weights
Intelligence
12.7
Rank 354 of 744 measured models
Coding
22.1
Rank 216 of 298 measured models
Output speed
85.4 t/s
Rank 210 of 403 measured models
Price/1M
$0.747
Rank 334 of 659 measured models
Context window
256K
Rank 518 of 1199 measured models
Cost per task
$0.0806
Rank 47 of 193 measured models

Qwen3 235B A22B 2507 (Reasoning) scores 12.7 on the Artificial Analysis Intelligence Index, ranking 354th of 744 measured models. The closest models on this index are GPT-4.1 (12.7), Granite 4.2 30B (12.7), and Kimi K2 (12.7). At $0.747 per million tokens (3:1 input/output blended price), it is cheaper than GPT-4.1 ($3.50) and Kimi K2 ($1.00), more expensive than Granite 4.2 30B ($0.282). With an output speed of 85.4 t/s, it is faster than Granite 4.2 30B (75.5 t/s) and Kimi K2 (55.1 t/s), slower than GPT-4.1 (152 t/s).

Artificial Analysis Indices
Intelligence12.7
Rank 354 of 744 measured models
Coding22.1
Rank 216 of 298 measured models
Math91.0
Rank 21 of 270 measured models
Agentic1.3
Rank 147 of 189 measured models
Capability indexes
Performance in specific industries, measured by Artificial Analysis
Finance & Accounting11.3
Rank 177 of 218 measured models
Strategy & Ops7.9
Rank 178 of 218 measured models
Legal11.8
Rank 185 of 218 measured models
Engineering15.0
Rank 183 of 217 measured models
Economics17.6
Rank 191 of 225 measured models
Standard Benchmarks
MMLU Pro84.3%
Rank 39 of 349 measured models
GPQA Diamond79.0%
Rank 216 of 619 measured models
HLE15.9%
Rank 251 of 664 measured models
LiveCodeBench78.8%
Rank 33 of 343 measured models
SciCode41.4%
Rank 165 of 231 measured models
MATH-50098.4%
Rank 11 of 202 measured models
AIME 202494.0%
Rank 3 of 194 measured models
AIME 202591.0%
Rank 21 of 270 measured models
Models at a similar level
The closest models on the Intelligence Index, one configuration per family.

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