Qwen3.7 Max API Pricing
Alibaba · released 2026-05-21
Also searched as: Qwen 3.7 Max pricing
Qwen3.7 Max price
0.250¢ / 1K
0.750¢ / 1K
0.375¢ / 1K
Official list price from Alibaba, as recorded by models.dev
What it actually costs
| Workload | Tokens | Cost |
|---|---|---|
| Short chat reply | 500 in / 300 out | 0.35¢ |
| RAG query | 4,000 in / 500 out | $0.0138 |
| Long document summary | 50,000 in / 1,000 out | $0.1325 |
| Code review of a 2k-line file | 30,000 in / 2,000 out | $0.0900 |
| 1,000 chat replies/day for 30 days | 30,000 × (500 in / 300 out) | $105.00 |
Cost = (input tokens ÷ 1,000,000 × $2.50) + (output tokens ÷ 1,000,000 × $7.50).
Benchmarks
| Benchmark | Value | Source | As of |
|---|---|---|---|
| Epoch Capabilities Index (ECI) | 154.5 | epoch | 2026-05-19 |
| Epoch Mock AIME accuracy | 95.6% | epoch | 2026-05-19 |
| Epoch FrontierMath (T1–3) accuracy | 64.6% | epoch | 2026-05-19 |
| Arena text rating | No public data yet | ||
| Arena coding rating (human preference votes, not task accuracy) | No public data yet | ||
| Arena math rating | No public data yet | ||
| Arena WebDev rating | No public data yet | ||
LiveBench
Shown on this model page only — LiveBench data never appears in any leaderboard, comparison table or structured data on this site.
| LiveBench metric | Value | As of |
|---|---|---|
| LiveBench Global Average | 73.1 | 2026-06-25 |
| LiveBench Reasoning | 83.3 | 2026-06-25 |
| LiveBench Coding | 74.2 | 2026-06-25 |
| LiveBench Agentic Coding | 43.6 | 2026-06-25 |
| LiveBench Mathematics | 85.2 | 2026-06-25 |
| LiveBench Data Analysis | 71.8 | 2026-06-25 |
| LiveBench Language | 79.7 | 2026-06-25 |
| LiveBench Instruction Following | 74.0 | 2026-06-25 |
LiveBench leaderboard (livebench.ai, github.com/LiveBench/new-livebench), CC BY-SA 4.0 — livebench.ai · github.com/LiveBench/new-livebench · CC BY-SA 4.0
Similar ECI, lower price
| Model | ECI | Blended $/1M |
|---|---|---|
| GLM-5.3-Flash | 153.6 | $0.1942 |
| GPT-6 Luna | 156.7 | $0.20 |
| DeepSeek V4.1 Flash 1017 | 159.3 | $0.2625 |
| GPT-5.6 Luna | 156.8 | $0.45 |
| DeepSeek V4 Pro 0813 | 155.9 | $0.99 |
More from Alibaba
| Model | Released | Blended $/1M |
|---|---|---|
| Qwen-Image-2.1-Turbo | 2026-10-09 | — |
| Qwen-Image-2.1-Pro | 2026-10-02 | — |
| Qwen 3.8 Max Prime | 2026-09-23 | — |
| Qwen3.8 Omni Flash | 2026-09-17 | $0.23 |
| Qwen-Image-2.1 | 2026-09-14 | — |
| Qwen3.8 Max 0902 | 2026-09-02 | $3.00 |
| Qwen3.8 Flash Next | 2026-08-27 | — |
| Qwen3.8 Flash | 2026-08-26 | $0.23 |
Count tokens & estimate cost for Qwen3.7 Max See Qwen3.7 Max on the leaderboard
Prices: Alibaba's official list price as recorded by models.dev; benchmarks: see sources below; last synced 2026-11-06.
FAQ
Who develops Qwen3.7 Max?
Qwen3.7 Max is developed by Alibaba, released 2026-05-21.
How much does Qwen3.7 Max cost per million tokens?
Qwen3.7 Max costs $2.50 per 1M input tokens and $7.50 per 1M output tokens ($3.75 blended), per Alibaba's official list price as recorded by models.dev.
What is the Qwen3.7 Max API price?
The Qwen3.7 Max API price is $2.50 per 1M input tokens and $7.50 per 1M output tokens ($3.75 per 1M blended).
How much does Qwen3.7 Max cost for a typical request?
A short chat reply (500 in / 300 out tokens) costs about 0.35¢ on Qwen3.7 Max, at $2.50/1M input and $7.50/1M output.
Is Qwen3.7 Max free?
Qwen3.7 Max's official API list price is $2.50 per 1M input tokens and $7.50 per 1M output tokens. This site tracks list prices only, not free tiers or trial credits — check Alibaba's site for those.
How does Qwen3.7 Max rank on benchmarks?
Qwen3.7 Max scores 154.5 on the Epoch Capabilities Index (ECI), ranking #44 of 107 models we track with a published ECI score.
Is there a cheaper model with a similar ECI to Qwen3.7 Max?
Yes — GLM-5.3-Flash scores a similar ECI (153.6) at $0.1942/1M blended, versus $3.75/1M for Qwen3.7 Max.
Where does this data come from?
Pricing for Qwen3.7 Max comes from models.dev and LiteLLM (open MIT-licensed catalogs); benchmark scores come from Epoch AI and LMArena (open CC BY 4.0 licenses); LiveBench scores (below) are CC BY-SA 4.0 — see /data-sources/. Last synced 2026-11-06.