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Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
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Alibaba

QwQ 32B

QwQ 32B is an Alibaba Qwen model profile, from a broad open and commercial model family covering general chat, coding, reasoning, multimodal, and compact deployment use cases. The local benchmark view helps place this exact Qwen variant among nearby open-weight and hosted competitors.

Qwen model releases

Operational Metrics

Output Speed30.4 tok/s
First Token0.43s
Blended Price$0.745/M

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseMar 5, 2025
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: TTFT

Rank #26 across 293 models.

0.43s

Strength: AIME

Rank #25 across 194 models.

78.0%

Strength: MATH-500

Rank #38 across 201 models.

95.7%

Watch Area: Speed

Rank #282 across 293 models.

30.4 tok/s

Watch Area: Math

Rank #189 across 269 models.

29.0

Strength Profile

Percentile score by analysis domain.

* Cost is inverted: lower input, output, and blended prices rank higher.

Benchmark Percentiles

Higher bars mean stronger relative placement.

All Benchmarks

MetricDomainValueRank
Artificial Analysis Intelligence Indexoverall19.7#241
Artificial Analysis Math Indexmath29.0#189
MMLU-Proreasoning76.4%#160
GPQAreasoning59.3%#281
Humanity's Last Exam
reasoning
8.2%
#185
LiveCodeBenchcoding63.1%#106
SciCodecoding, reasoning35.8%#180
MATH-500math95.7%#38
AIMEmath78.0%#25
Output Speedspeed30.4 tok/s#282
Time to First Tokenspeed0.43s#26
Blended Pricecost$0.745/M#140
Input Pricecost$0.660/M#194
Output Pricecost$1.00/M#112
Value Indexcost, overall26.4#165