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Qwen3 235B A22B (Non-reasoning)

AlibabaQwenOpen WeightApache 2.0 · Commercial OK

Description

Qwen3 235B A22B is a large language model developed by Alibaba, featuring a Mixture-of-Experts (MoE) architecture with 235 billion total parameters and 22 billion activated parameters. It achieves competitive results in benchmark evaluations of coding, math, general capabilities, and more, compared to other top-tier models.

Release Date
2025-04-28
Parameters
235.0B
Context Length
131K
Modalities
text

Capability Radar

28
general
34
coding
40
reasoning
44
science
70
agents
0
multimodal

Rankings

Domain#RankScoreSource
Code Ranking548
15.0
AA
General Ranking421
33.0
AA
Science448
33.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

General

Arena Hard95.6%SR
MMLU87.8%SR
Include73.5%SR
MultiLF71.9%SR
BFCL70.8%SR
MultiPL-E65.9%SR

Language

MMLU-Redux87.4%SR
MMMLU86.7%SR
MMLU-Pro68.2%SR

Math

GSM8k94.4%SR
AIME 202485.7%SR
MGSM83.5%SR
AIME 202581.5%SR
LiveBench77.1%SR
MATH71.8%SR

Reasoning

BBH88.9%SR
MBPP0.81 / 100SR
CRUX-O0.79 / 100SR
EvalPlus0.78 / 100SR
LiveCodeBench70.7%SR
Aider61.8%SR
GPQANYU + Cohere + Anthropic (2023)47.5%SR
SuperGPQA44.1%SR

AA Evaluation Indices

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
90.2
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
76.2
Gpqa(NYU + Cohere + Anthropic (2023))
61.3
Ifbench(Google Research (2023))
36.6
Livecodebench(UC Berkeley + MIT + Cornell (2024))
34.3
Aime(MAA (Mathematical Association of America))
32.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
27.2
Math Index(Artificial Analysis)
23.7
Aime 25(MAA (Mathematical Association of America))
23.7
Intelligence Index(Artificial Analysis)
8.3
Terminalbench Hard(Stanford × Laude Institute (2026))
6.1
Hle(Center for AI Safety + Scale AI (2025))
4.2
Lcr(Artificial Analysis)
0.0

LLM Stats Category Scores

(LLM Stats (zeroeval))
Chat
100
Creativity
100
Writing
100
Language
80
Math
80
Reasoning
80
General
80
Legal
70
Finance
70
Healthcare
70
Code
70
Tool Calling
70
Physics
50
Biology
50
Chemistry
50
Economics
40

Pricing

Input Price$0.7 / 1M tokens
Output Price$2.8 / 1M tokens
Blended Price (3:1)$1.225 / 1M tokens

Speed

Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s

Provider Price Ranking

Provider Price Ranking

3 providers

Cheapest: Alibaba (China)Most Expensive: Alibaba
ProviderInputOutput
1Alibaba (China)Cheapest
$0.287
$1.147
2302.AI
$0.29
$2.86
3AlibabaPRIMARY
$0.7
$2.8

Compare pricing across different API providers for this model.

External Sources

LLM StatsArtificial Analysis