Qwen3.6 Flash

qwen/qwen3.6-flash

Qwen: Qwen3.6 Flash processes text, image, and video inputs and outputs text. It has a context length of 1,000,000 tokens and supports tools and reasoning. Input pricing is $0.1875 per million tokens, and output pricing is $1.125 per million tokens. It is not an open-weight model.

  • tool use
  • structured outputs
  • reasoning

At a glance

providerqwen
releasedApr 2, 2026
context1M
input / M$0.19

Specifications

What the API gives you

Context window
1M tokens
Max output
66K tokens
Input price
$0.19 / 1M tokens
Output price
$1.13 / 1M tokens
Cache read
—
Modalities
text, image, video → text
Knowledge cutoff
—
Released
Apr 2, 2026

Measured evidence

Public benchmark record

FrontierMath Tiers 1-3 (Epoch AI)
17.2% ± 2.22026-08-29evaluated 2026-08-29
GPQA Diamond (Epoch AI)
83.3% ± 2.72026-08-07evaluated 2026-08-07
OTIS Mock AIME (Epoch AI)
84.4% ± 5.52026-08-07evaluated 2026-08-07
SimpleQA Verified (Epoch AI)
15.9% ± 1.22026-08-27evaluated 2026-08-27

LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference.

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 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.

  • 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.

  • Best LLM for a General AssistantProvisional evidence

    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.