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Qwen3.8 Max (0902)

by Alibaba Qwen · Released Sep 2026

Multimodal1M Context
59.7
avg score
Rank #94
Compare
Better than 71% of all models
Context
1.0M tokens (~500 books)
Input $/1M
$2.00
Output $/1M
$6.00
Type
multimodal
License
Proprietary
Benchmarks
24 tested
Data as of
About

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...

Tested on 24 benchmarks · BenchGecko score 59.7. Top scores: Chatbot Arena Elo — Coding (1671.2%), Chatbot Arena Elo — Overall (1481.6%), OTIS Mock AIME 2024-2025 (99.4%).

Looking for similar performance at lower cost?
DeepSeek V4 Flash 0731 scores 59.9 (100% as good) at $0.01/1M input · 99% cheaper
Capabilities
coding
36.6
#156 globally
math
73.5
#43 globally
knowledge
59.7
#60 globally
agentic
63.3
#13 globally
speed
59.1
#11 globally
general
46.2
#48 globally
Benchmark Scores
Compare All
Tested on 24 benchmarks · Ranked across 7 categories
Score Distribution (all 319 models)
0255075100
▲ You are here
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

99.4·
GPQA diamond

Graduate-level science questions written by PhD experts. Diamond subset contains questions where experts disagree, testing deep understanding.

90.2·
SimpleQA Verified

Simple factual questions with verified correct answers. Tests accuracy of basic knowledge retrieval. Low scores indicate hallucination.

45.8·
Chess Puzzles

Tactical chess puzzles testing pattern recognition and multi-move calculation. Measures strategic reasoning ability.

43.2·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Recently Happened
Qwen3.8 Max (0902) added
Sep 5, 2026
Links
Documentation
Community
BenchGecko API
qwen3-8-max-0902
Specifications
  • Typemultimodal
  • Context1.0M tokens (~500 books)
  • ReleasedSep 2026
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.010
Available On
Alibaba Qwen logoAlibaba Qwen$2.00
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Qwen3.8 Max (0902) is a proprietary multimodal AI model by Alibaba Qwen, released in September 2026. It has an average benchmark score of 59.7. Context window: 1M tokens.

Key facts · as of 2026-10-16

  • Qwen3.8 Max (0902) by Alibaba Qwen. BenchGecko score 59.7, rank 94 of 319 scored models (normalized average of public benchmark scores).
  • List price $2.00 input · $6.00 output per 1M tokens (as of 2026-10-16).
  • Sold by 2 providers (as of 2026-10-16): Alibaba $2.00 in / $6.00 out · Alibaba $2.00 in / $6.00 out. Every provider
  • Gecko Tests: Who Are You B (Knows who made it) · Tokenizer Tax A (35% more tokens outside English).

How to cite · data as of 2026-10-16

Qwen3.8 Max (0902) · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-16. https://benchgecko.ai/model/qwen3-8-max-0902

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP