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
37
general
49
coding
76
reasoning
49
science
60
agents
0
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Capacité agentique | 53 | 52.0 | LS |
| Classement codage | 292 | 40.0 | AA |
| Classement général | 280 | 46.0 | AA |
| Science | 232 | 52.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
BFCL-v3
70.9%Aut.
Biology
GPQANYU + Cohere + Anthropic (2023)
77.5%Aut.
Chemistry
SuperGPQA
62.6%Aut.
Code
Aider-Polyglot
57.3%Aut.
Communication
WritingBench
85.2%Aut.
Multi-IF
77.5%Aut.
Tau2 Retail
71.3%Aut.
Tau2 Airline
44.0%Aut.
Creativity
Creative Writing v3
87.5%Aut.
Arena-Hard v2
79.2%Aut.
Factuality
SimpleQA
54.3%Aut.
Finance
MMLU-Pro
83.0%Aut.
MMLU-ProX
79.4%Aut.
General
MMLU-Redux
93.1%Aut.
IFEvalGoogle Research (2023)
88.7%Aut.
MultiPL-E
87.9%Aut.
CSimpleQA
84.3%Aut.
Include
79.5%Aut.
LiveBench 20241125
75.4%Aut.
LiveCodeBench v6
51.8%Aut.
Math
AIME 2025
70.3%Aut.
HMMT25
55.4%Aut.
PolyMATH
50.2%Aut.
Reasoning
ZebraLogic
95.0%Aut.
ARC-AGI
41.8%Aut.
Indices d'évaluation AA
(Artificial Analysis)Math Index(Artificial Analysis)71.7
Intelligence Index(Artificial Analysis)18.4
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))1.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Aime(MAA (Mathematical Association of America))0.7
Aime 25(MAA (Mathematical Association of America))0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.5
Ifbench(Google Research (2023))0.5
Scicode(UIUC + Argonne National Lab (2024))0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))0.3
Lcr(Artificial Analysis)0.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Hle(Center for AI Safety + Scale AI (2025))0.1
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Legal80
Structured Output80
Instruction Following80
Language80
Finance80
Healthcare80
Biology80
Creativity80
Writing80
Math70
Physics70
Reasoning70
General70
Agents70
Chemistry70
Communication70
Code60
Economics60
Tool Calling60
Multimodal50
Spatial Reasoning50
Factuality50
Vision50
Tarification
Prix d'entrée$0.7 / 1M tokens
Prix de sortie$2.8 / 1M tokens
Prix mixte (3:1)$1.225 / 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
7 fournisseurs
Moins cher: CortecsPlus cher: GreenPT
FournisseurEntréeSortie
1CortecsMoins cher
$0.069
$0.455
2LLM Gateway
$0.09
$0.58
3Venice AI
$0.15
$0.75
4302.AI
$0.29
$1.143
5AlibabaPRINCIPAL
$0.7
$2.8
6Scaleway
$0.75
$2.25
7GreenPT
$1.026
$3.078
Comparer les prix entre différents fournisseurs API pour ce modèle.