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Qwen3 Next 80B A3B Thinking

by Alibaba Qwen · Released Sep 2025

Open Source
56.8
avg score
Rank #107
Compare
Better than 66% of all models
Context
262K tokens (~131 books)
Input $/1M
$0.15
Output $/1M
$1.20
Type
text
License
Open Source
Benchmarks
20 tested
Data as of
About

Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...

Tested on 20 benchmarks · BenchGecko score 56.8. Top scores: Chatbot Arena Elo — Overall (1369.3%), OpenCompass — IFEval (89.5%), OpenCompass — AIME2025 (89.0%).

Looking for similar performance at lower cost?
Qwen2.5 Coder 7B Instruct scores 56.3 (99% as good) at $0.03/1M input · 80% cheaper
Capabilities
coding
45.1
#116 globally
reasoning
64.1
#52 globally
math
70.0
#44 globally
knowledge
60.8
#53 globally
language
67.1
#90 globally
Benchmark Scores
Compare All
Tested on 20 benchmarks · Ranked across 6 categories
Score Distribution (all 312 models)
0255075100
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OpenCompass — LiveCodeBenchV6

OpenCompass Live Code Bench v6. Fresh competitive programming problems to evaluate code generation without memorization.

66.3·
LiveBench — Coding

Regularly refreshed coding problems that avoid data contamination. New problems added monthly to prevent memorization.

60.7·
LiveBench — Agentic Coding

LiveBench coding tasks that require multi-step reasoning and tool use. Tests planning and execution of complex coding workflows.

8.3·
HELM — WildBench

Stanford HELM WildBench evaluation. Tests reasoning on challenging real-world tasks.

80.7·
LiveBench — Reasoning

Regularly refreshed reasoning problems testing logical deduction, spatial reasoning, and analytical thinking.

58.2·
LiveBench — Data Analysis

Fresh data analysis tasks testing ability to interpret tables, charts, and statistical data.

53.6·
OpenCompass — AIME2025

OpenCompass evaluation on AIME 2025 problems. Tests mathematical reasoning on fresh competition problems.

89.0·
LiveBench — Mathematics

Regularly updated math problems that test numerical reasoning, algebra, calculus, and combinatorics.

74.3·
HELM — Omni-MATH

Stanford HELM evaluation of mathematical reasoning across diverse problem types.

46.7·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Model Family · Alibaba Qwen Qwen 3
See the full Qwen 3 family →
Links
Documentation
Community
BenchGecko API
qwen3-next-80b-a3b-thinking
Specifications
  • Typetext
  • Context262K tokens (~131 books)
  • ReleasedSep 2025
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.001
Available On
Alibaba Qwen logoAlibaba Qwen$0.15
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Qwen3 Next 80B A3B Thinking is an open-source text AI model by Alibaba Qwen, released in September 2025. It has an average benchmark score of 56.8. Context window: 262K tokens.

Key facts · as of 2026-10-05

  • Qwen3 Next 80B A3B Thinking by Alibaba Qwen. BenchGecko score 56.8, rank 107 of 312 scored models (normalized average of public benchmark scores).
  • List price $0.15 input · $1.20 output per 1M tokens (as of 2026-10-05).
  • Sold by 2 providers (as of 2026-10-05): Alibaba $0.15 in / $1.20 out · Google $0.15 in / $1.20 out. Every provider

How to cite · data as of 2026-10-05

Qwen3 Next 80B A3B Thinking · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/qwen3-next-80b-a3b-thinking

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