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Qwen3 235B A22B 2507 Instruct

AlibabaQwenOpen WeightApache 2.0 · Usage Commercial

Description

Qwen3-235B-A22B-Instruct-2507 is the updated instruct version of Qwen3-235B-A22B featuring significant improvements in general capabilities including instruction following, logical reasoning, text comprehension, mathematics, science, coding and tool usage. It provides substantial gains in long-tail knowledge coverage across multiple languages and markedly better alignment with user preferences in subjective and open-ended tasks.

Date de sortie
2025-07-21
Paramètres
235.0B
Longueur du contexte
262K
Modalités
text

Radar de capacités

33
general
52
coding
76
reasoning
56
science
60
agents
0
multimodal

Classements

Domaine#RangScoreSource
Classement codage369
39.0
AA
Classement général329
41.0
AA
Science300
47.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Chat

IFEvalGoogle Research (2023)88.7%Aut.
Multi-IF77.5%Aut.
Tau2 Airline44.0%Aut.

Communication

Tau2 Retail71.3%Aut.

Creativity

Creative Writing v387.5%Aut.

Factuality

SimpleQA54.3%Aut.

General

MultiPL-E87.9%Aut.
CSimpleQA84.3%Aut.
Include79.5%Aut.
Arena-Hard v279.2%Aut.
BFCL-v370.9%Aut.
Aider-Polyglot57.3%Aut.

Language

MMLU-Redux93.1%Aut.
MMLU-Pro83.0%Aut.
MMLU-ProX79.4%Aut.

Math

LiveBench 2024112575.4%Aut.
AIME 202570.3%Aut.
HMMT2555.4%Aut.
PolyMATH50.2%Aut.

Reasoning

ZebraLogic95.0%Aut.
GPQANYU + Cohere + Anthropic (2023)77.5%Aut.
SuperGPQA62.6%Aut.
LiveCodeBench v651.8%Aut.
ARC-AGI41.8%Aut.

Writing

WritingBench85.2%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
98.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
82.8
Gpqa(NYU + Cohere + Anthropic (2023))
75.3
Math Index(Artificial Analysis)
71.7
Aime(MAA (Mathematical Association of America))
71.7
Aime 25(MAA (Mathematical Association of America))
71.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
52.4
Ifbench(Google Research (2023))
46.1
Lcr(Artificial Analysis)
33.9
Tau2(Sierra + U Toronto + Vector Institute (2025))
33.3
Terminalbench Hard(Stanford × Laude Institute (2026))
15.2
Intelligence Index(Artificial Analysis)
12.0
Hle(Center for AI Safety + Scale AI (2025))
11.1

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Instruction Following
80
Language
80
Legal
80
Structured Output
80
Finance
80
Healthcare
80
Biology
80
Creativity
80
Writing
80
Chat
70
Math
70
Physics
70
Reasoning
70
General
70
Agents
70
Chemistry
70
Communication
70
Code
60
Economics
60
Tool Calling
60
Multimodal
50
Spatial Reasoning
50
Factuality
50
Vision
50

Tarification

Prix d'entrée$0.23 / 1M tokens
Prix de sortie$0.92 / 1M tokens
Prix mixte (3:1)$0.403 / 1M tokens
Prix de lecture cache$0.0175 / 1M tokens

Vitesse

Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

11 fournisseurs

Moins cher: DeepInfraPlus cher: GreenPT
FournisseurEntréeSortie
1DeepInfraMoins cher
$0
$0
2Cortecs
$0.069
$0.455
3TensorX
$0.072
$0.464
4OpenRouter
$0.0875
$0.35
5DevPass (LLM Gateway)
$0.09
$0.58
6Kilo Gateway
$0.1495
$0.598
7Venice AI
$0.15
$0.75
8AlibabaPRINCIPAL
$0.23
$0.92
9302.AI
$0.29
$1.143
10Scaleway
$0.75
$2.25
11GreenPT
$1.026
$3.078

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes