AlibabaQwen3.7 Flash
Qwen3.7 Flash is an Alibaba proprietary reasoning model, released 27 Jul 2026. It is not yet ranked: 3 independent results so far, and the index needs at least five across two categories. At $0.055 per million tokens blended it is among the cheapest fifth of ranked models. Output speed of 72 tokens per second puts it slower than most, with a first token in 0.7 s. It has been measured at 2 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 27 Jul 2026.
- Blended price
- $0.055/M
- $0.030 in · $0.130 out
- Output speed
- 72 tok/s
- OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
- First answer
- 0.71 s
- Context
- 1M
- Full answer
- –
- Cost per run
- –
- Released
- 27 Jul 2026
- Reasoning59
- Maths43
Versions
Alibaba has shipped 4 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.
| Model | Released | Index | Rank |
|---|---|---|---|
| Qwen3.8 Flash | 26 Aug 2026 | – | – |
| Qwen3.7 Flashno reasoningthis page | 27 Jul 2026 | – | – |
| Qwen3.6 Flash | 27 Apr 2026 | 44.1 | #550 |
| Qwen3.5 Flash | 25 Feb 2026 | 52.0 | #330 |
Reasoning-effort configurations
The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.
| Effort | Index | Rank | Speed | First answer | Chat reply cost | Categories |
|---|---|---|---|---|---|---|
| no reasoningbest | – | – | 72 tok/s | 0.71 s | $0.0001 | Maths 43 · Reasoning 59 |
| not stated | – | – | 72 tok/s | 0.71 s | $0.0001 | Maths 44 · Reasoning 60 |
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | no reasoning | not stated | Source | Trend |
|---|---|---|---|---|
| GPQA Diamond | 80.8%#122 | 82.3%#113 | Epoch AI Benchmarking Hub | |
| Mystery Game Puzzlesnot in index | 14.0%#97 | 15.0%#91 | Epoch AI Benchmarking Hub |
Maths
| Benchmark | no reasoning | not stated | Source | Trend |
|---|---|---|---|---|
| FrontierMath Tiers 1–3 | 19.3%#90 | 19.3%#90 | Epoch AI Benchmarking Hub | |
| OTIS Mock AIME | 77.8%#122 | 86.7%#86 | Epoch AI Benchmarking Hub |
Composite
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Epoch Capabilities Indexnot in index | 144.1#91 | Epoch AI Benchmarking Hub |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| Alibaba Cloud Int. | 94 tok/s | 0.87 s | $0.035 | $0.149 | 1M | – |
| Alibaba Cloud Int. | 91 tok/s | 0.87 s | $0.030 | $0.130 | 1M | – |
Price history
The price above, per 1M tokens, every day it changed.
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.006 per 1M. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0001 | $0.0000 | 4.9 s |
| Summarize a 30-page report | 12,000 / 600 | $0.0004 | $0.0002 | 9.0 s |
| Code edit | 6,000 / 1,500 | $0.0004 | $0.0003 | 21.5 s |
| Agentic coding session | 60,000 / 4,000 | $0.0023 | $0.0012 | 56.3 s |
| Structured extraction | 2,000 / 200 | $0.0001 | $0.0001 | 3.5 s |
More from Alibaba
See also
Questions people ask
- Why does Qwen3.7 Flash have no BenchLeader Index score?
- The index needs at least five independent results across at least two categories; as of 24 Oct 2026 Qwen3.7 Flash has 3 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
- How much does Qwen3.7 Flash cost per 1M tokens?
- As of 24 Oct 2026, Qwen3.7 Flash costs $0.030 per 1M input tokens and $0.130 per 1M output tokens, $0.055 blended (three input tokens per output token). The list price last changed on 24 Oct 2026.
- When was Qwen3.7 Flash released?
- Alibaba released Qwen3.7 Flash on 27 Jul 2026. BenchLeader has results for it at 2 reasoning-effort settings.
Data as of 24 Oct 2026. Compare these configurations.
Cite as: BenchLeader, “Qwen3.7 Flash: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/qwen3-7-flash.