Qwen3.7 Flash

qwen/qwen3.7-flash-20260727

Qwen3.7 Flash is a model from Qwen that processes text, image, and video inputs to generate text outputs. It supports a context length of 1,000,000 tokens, tool usage, and reasoning. It is a proprietary model released on July 27, 2026, with input and output pricing of $0.03 and $0.13 per million tokens, respectively.

  • tool use
  • structured outputs
  • reasoning

At a glance

providerqwen
releasedJul 15, 2026
context1M
input / M$0.030

Specifications

What the API gives you

Context window
1M tokens
Max output
66K tokens
Input price
$0.030 / 1M tokens
Output price
$0.13 / 1M tokens
Cache read
$0.006 / 1M tokens
Modalities
text, image, video → text
Knowledge cutoff
—
Released
Jul 15, 2026

Measured evidence

Public benchmark record

FrontierMath Tiers 1-3 (Epoch AI)
19.3% ± 2.32026-08-29evaluated 2026-08-29
GPQA Diamond (Epoch AI)
82.3% ± 2.72026-08-07evaluated 2026-08-07
OTIS Mock AIME (Epoch AI)
86.7% ± 5.12026-08-07evaluated 2026-08-07

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.

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.