Qwen3.6 35B A3B

qwen/qwen3.6-35b-a3b-20260415

Qwen3.6 35B A3B is a text, image, and video input model that outputs text. It has a context length of 262,144 tokens and supports tools and reasoning. It is priced at $0.10 per million input tokens and $0.95 per million output tokens. This is an open-weight model.

  • tool use
  • structured outputs
  • reasoning
  • open-weight

At a glance

providerqwen
releasedApr 17, 2026
context262K
input / M$0.100

Specifications

What the API gives you

Context window
262K tokens
Max output
236K tokens
Input price
$0.100 / 1M tokens
Output price
$0.95 / 1M tokens
Cache read
$0.050 / 1M tokens
Modalities
text, image, video → text
Knowledge cutoff
—
Released
Apr 17, 2026

Measured evidence

Public benchmark record

FrontierMath Tiers 1-3 (Epoch AI)‡
20.4% ± 2.42026-08-30none effort, evaluated 2026-08-30
FrontierMath Tiers 1-3 (Epoch AI)
17.5% ± 2.32026-08-29evaluated 2026-08-29
GPQA Diamond (Epoch AI)
83.8% ± 2.62026-08-07evaluated 2026-08-07
OTIS Mock AIME (Epoch AI)
86.7% ± 5.12026-08-07evaluated 2026-08-07
SWE-rebench (2026-05-15 to 2026-07-01)‡
24.7% ± 0.82026-10-21tools, tasks 2026-05-15 to 2026-07-01

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.

Open-weight model on Hugging Face.

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 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 Debugging & Code ReviewProvisional evidence

    33% 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 Autonomous AgentsProvisional evidence

    27% 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 LLM for Agentic CodingProvisional evidence

    20% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Design Arena Full-stack or Design Arena Web-apps. 7 of 7 configured evaluation feeds currently have results.

  • Best LLM for Logic & Problem SolvingProvisional evidence

    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.

Show all 13 tasks
  • Best LLM for CodingProvisional evidence

    18% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or Design Arena Coding. 7 of 7 configured evaluation feeds currently have results.

  • Best Local LLM for CodingProvisional evidence

    15% 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 AI AgentsProvisional evidence

    14% 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 Hermes AgentProvisional evidence

    13% 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

    13% 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

    13% 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

    13% 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.

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.