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Qwen3 Next 80B A3B (Thinking)

Added Jan 1, 2024Open weights

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Use in the app

Qwen3 Next 80B A3B (Thinking)

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.15
Output
$0.65

Reference prices as published by the model provider. API example

Specifications

Context window
256K
Max output
32.8K

Side by side

Qwen3 Next 80B A3B (Thinking) compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Compare models

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Qwen3 Next 80B A3B (Thinking)QwenThis modelGranite 4.2 8BibmRemove
ProviderQwenibm
Discovery tierOpen weightsOpen weights
AddedJan 1, 2024Aug 31, 2026
Limits
Context window256KBest131.07K
Max output32.77K—
Average output—2.4K tokens
Pricing, USD per 1M tokens
Input$0.15$0.10Best
Output$0.65$0.15Best
Cache read—$0.05
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index11.2Best11.1
Coding Index17.422.4Best
Math Index84.3—
Capabilities
ReasoningNoYes
ToolsNoYes
Structured outputNoYes
Reasoning effort—none, low, high

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Qwen3 Next 80B A3B (Thinking)
  • Granite 4.2 8B

Intelligence Index

  • Qwen3 Next 80B A3B (Thinking)11.2
  • Granite 4.2 8B11.1

Qwen3 Next 80B A3B (Thinking): Better than 24% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Qwen3 Next 80B A3B (Thinking): 17.4
    • Granite 4.2 8B: 22.4Top

  • Math Index

    Composite of the math evaluations

    • Qwen3 Next 80B A3B (Thinking): 84.3
    • Granite 4.2 8B: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Qwen3 Next 80B A3B (Thinking): —
    • Granite 4.2 8B: 2.1%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Qwen3 Next 80B A3B (Thinking): —
    • Granite 4.2 8B: 0.3%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Qwen3 Next 80B A3B (Thinking): —
    • Granite 4.2 8B: 310 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Qwen3 Next 80B A3B (Thinking): 128 Elo
    • Granite 4.2 8B: 491 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Qwen3 Next 80B A3B (Thinking): —
    • Granite 4.2 8B: 0.6%

  • AA-LCRv1.1

    Reasoning across long documents

    • Qwen3 Next 80B A3B (Thinking): 63.7%Top
    • Granite 4.2 8B: 45.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Qwen3 Next 80B A3B (Thinking): 12.6%Top
    • Granite 4.2 8B: 9.7%

  • GPQA Diamond

    Graduate-level science questions

    • Qwen3 Next 80B A3B (Thinking): 75.9%Top
    • Granite 4.2 8B: 63.1%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Qwen3 Next 80B A3B (Thinking): 82.4%
    • Granite 4.2 8B: —

  • IFBench

    Following precise output instructions

    • Qwen3 Next 80B A3B (Thinking): 60.7%
    • Granite 4.2 8B: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Qwen3 Next 80B A3B (Thinking): —
    • Granite 4.2 8B: 0.0%

  • SciCode

    Scientific computing in Python

    • Qwen3 Next 80B A3B (Thinking): —
    • Granite 4.2 8B: 31.5%

  • LiveCodeBench

    Recent competitive programming problems

    • Qwen3 Next 80B A3B (Thinking): 78.4%
    • Granite 4.2 8B: —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Qwen3 Next 80B A3B (Thinking): 84.3%
    • Granite 4.2 8B: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Qwen3 Next 80B A3B (Thinking): 9.8%
    • Granite 4.2 8B: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Qwen3 Next 80B A3B (Thinking): 41.5%
    • Granite 4.2 8B: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Qwen3 Next 80B A3B (Thinking): 63.7%Top
    • Granite 4.2 8B: 45.0%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-next-80b-a3b-thinking",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="qwen/qwen3-next-80b-a3b-thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.