Qwen3.8 Max (0902)

qwen/qwen3.8-max-20260902

Qwen3.8 Max (0902) is a multimodal model from Qwen that processes text, image, and video inputs to generate text outputs. It supports a 1,000,000 token context window, tool usage, and reasoning. The model is not open-weight and was released in August 2026.

  • tool use
  • structured outputs
  • reasoning

At a glance

providerqwen
releasedAug 3, 2026
context1M
input / M$2

Specifications

What the API gives you

Context window
1M tokens
Max output
131K tokens
Input price
$2 / 1M tokens
Output price
$6 / 1M tokens
Cache read
$0.25 / 1M tokens
Modalities
text, image, video → text
Knowledge cutoff
—
Released
Aug 3, 2026

Measured evidence

Public benchmark record

FrontierMath Tiers 1-3 (Epoch AI)‡
65.6% ± 2.82026-09-02xhigh effort, evaluated 2026-09-02
GPQA Diamond (Epoch AI)‡
92.3% ± 1.72026-09-02xhigh effort, evaluated 2026-09-02
LMArena WebDev
1674 Elo2026-10-19
LMArena WebDev Image-to-Web
1637 Elo2026-10-19
OTIS Mock AIME (Epoch AI)‡
100% ± 02026-09-02xhigh effort, evaluated 2026-09-02
SimpleQA Verified (Epoch AI)‡
47.3% ± 1.62026-09-02xhigh effort, evaluated 2026-09-02
Terminal-Bench (4.0)‡
27.0%2026-10-20Claude Code, max effort, evaluated 2026-10-06

LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference. ‡ Submitted scaffold plus model result. Compare the harness and effort settings, not only the model name.

Task evidence

How broad is the support?

Each status is exact to this model version and the selected task. Official release claims remain provisional.

  • Best LLM for Agentic CodingEstablished evidence

    34% of intended weighted task evidence across 2 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • Best LLM for CodingEstablished evidence

    31% of intended weighted task evidence across 2 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • Best LLM for Competition MathEstablished evidence

    30% of intended weighted task evidence across 2 independent sources. 6 of 6 configured evaluation feeds currently have results.

  • Best LLM for Math & ReasoningEstablished evidence

    24% of intended weighted task evidence across 3 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • Best LLM for Frontend & UIProvisional evidence

    36% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Design Arena Coding or Design Arena UI. 6 of 6 configured evaluation feeds currently have results.

  • Best LLM for Code CompletionProvisional evidence

    36% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 3 of 3 configured evaluation feeds currently have results.

Show all 17 tasks
  • Best LLM for Autonomous AgentsProvisional evidence

    31% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Agentic Coding or LMArena Agent. 6 of 6 configured evaluation feeds currently have results.

  • Best Local LLM for CodingProvisional evidence

    21% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Hermes AgentProvisional evidence

    19% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LMArena Agent. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenHandsProvisional evidence

    19% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LMArena Agent. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for GooseProvisional evidence

    19% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LMArena Agent. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenClawProvisional evidence

    19% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LMArena Agent. 4 of 4 configured evaluation feeds currently have results.

  • 18% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Reasoning. 5 of 5 configured evaluation feeds currently have results.

  • 17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 5 of 5 configured evaluation feeds currently have results.

  • Best LLM for AI AgentsProvisional evidence

    16% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or LiveBench Agentic Coding. 9 of 9 configured evaluation feeds currently have results.

  • Best LLM for Grounded RAGProvisional evidence

    14% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from CRAG or FACTS Grounding. 5 of 7 configured evaluation feeds currently have results.

  • 9% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Reasoning. 6 of 6 configured evaluation feeds currently have results.

Recommendation coverage

Where this model appears

Not currently included in a published recommendation. The task evidence panel above says exactly what is confirmed and what is still missing.

Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.