Inference
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Alibaba

Qwen3.7 Flash

Qwen3.7 Flash is a reasoning model from Alibaba. It has 4 scored results in 3 categories. It has no index.

  • Closed weights
  • Reasoning
  • Input: text · image · video
  • Released 2026-07
UnrankedEnough results for an index.
IndexAll categories, out of 100.UnrankedMedian 51.0
CoverageIndex weight that has results.40%
SpeedOutput tokens per second.56/sMedian 67/s
First tokenSeconds to the first output token.0.7 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.03Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.13Median $2.55
ContextMaximum tokens in one request.1MMedian 262K
EloLMArena rating and rank.—Median 1422

Details

From OpenRouter
API IDThe model ID on OpenRouter.
qwen/qwen3.7-flash
Max outputMaximum output tokens per request.
66K
Knowledge cutoffLast date of training data.
—
ToolsTool calls on OpenRouter.
Yes
JSON outputOutput follows a given JSON schema.
No
Cache read / 1MUS dollars per 1M cached tokens.
<$0.01
WeightsLink to the published weights.
—
RetiresDate OpenRouter removes the model.
—

Where to run

APIs that serve this model.
2 providers
ProviderTypeMaker, cloud, host or router.InputOutputContext
Alibaba CloudMaker$0.03$0.131M
OpenRouterRouter$0.03$0.131M

US dollars per 1M tokens, list price. From models.dev (opens in a new tab) (MIT).

Capabilities

Index per category, out of 100.
Out of 100
AgenticMulti-step tasks with tools.None counted——
CodingCode writing and repair.None counted——
ReasoningLogic problems and puzzles.1 counted49.5—
MultimodalTasks with images and text.None counted——
KnowledgeFacts and expert knowledge.1 counted51.3—
MultilingualTasks in many languages.None counted——
InstructionTasks with strict prompt rules.None counted——
MathMath problems.2 counted47.6—

Results

4 counted
BenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
GPQA diamond · Epoch AIKnowledge80.8% ±2.887 / 217
OTIS Mock AIME 2024-2025Math77.8% ±6.390 / 200
Mystery Game PuzzlesReasoning14.0% ±3.560 / 80
FrontierMath-Tiers-1-3-v2-PrivateMath19.3% ±2.379 / 90

Sources

BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuseEpoch AICC BYmodels.devMIT

History

5 releases
Output / 1M$0.13 → $0.13
23 Oct 202612 Nov 2026

Questions

How much does Qwen3.7 Flash cost?
$0.03 per 1M input tokens, $0.13 per 1M output tokens.
How fast is Qwen3.7 Flash?
56 output tokens per second, 0.7 s to the first token.
What is the context window of Qwen3.7 Flash?
1M tokens.
Is Qwen3.7 Flash open source?
No. Its weights are not published.
When was Qwen3.7 Flash released?
July 2026.

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