qwen3.8-flash
Input price$0.15
Output price$0.47
AlibabaTextVision
qwen3.7-flash
qwen3.7-flash is Alibaba's model at $0.03 input and $0.13 output per million tokens, with a 1000K context window. On a typical 3:1 input-to-output mix that blends to roughly $0.055 per million tokens, placing it in the budget band of the 76 models tracked here — cheaper than 99% of them.
Context window1000K
Input price$0.03 / 1M
Output price$0.13 / 1M
Output speed—
Quality score—
Data updatedUpdated Sep 2026
Price verified2026-09-02 · OpenRouter
By price, qwen3.7-flash ranks 2nd cheapest of 76 on input and 2nd on output.. Its blended rate sits 98% below the catalog average.
In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $6.25 per month on qwen3.7-flash, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $6.88. Because output is priced 4.3× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.
A 1000K context window holds roughly 1,333 pages of A4 text (at ~750 tokens per page), ranking 25th of 76 here. That is enough to drop in an entire technical manual or several source files at once, which suits long-document summarization and codebase-wide analysis.
We track 8 Alibaba models, and qwen3.7-flash's blended rate sits 91% below that provider's average. If your task tolerates a little less headroom, Phi-4-mini (Microsoft) blends about 55% cheaper at a quality score of 68, and is worth benchmarking first. Going the other way, Phi-4 scores 76 on quality for about 59% more.
The closest model in Alibaba's line-up is qwen-turbo ($0.05 input / $0.20 output, quality 74). Against it, qwen3.7-flash scores 74 points lower on quality, costs 59% less blended. When two models sit this close on price, the deciding factor is usually the quality ceiling — run both against your real prompts before picking.
Estimated monthly cost
Monthly API spend across four common workloads, next to the cheapest model we track.
| Workload | Usage assumption | This model | Cheapest model |
|---|---|---|---|
| Support chatbot | 2,000 input / 500 output tokens per turn, 50,000 turns per month | $6.25 | $3.00 |
| RAG document Q&A | 8,000 input / 800 output tokens per query, 20,000 queries per month | $6.88 | $3.84 |
| Coding assistant | 12,000 input / 2,000 output tokens per request, 10,000 requests per month | $6.20 | $3.20 |
| Batch summarization | 4,000 input / 400 output tokens per item, 200,000 items per month | $34 | $19 |
Derived directly from the rates on this page. Excludes prompt caching, batch discounts and free tiers.
How it compares
The alternatives worth benchmarking alongside it, from the same dataset.
| Model | Provider | Blended /1M | Quality | Price delta |
|---|---|---|---|---|
| qwen3.7-flash | Alibaba | $0.055 | — | — |
| Phi-4-miniCheaper option | Microsoft | $0.025 | 68 | -55% |
| Phi-4Higher quality | Microsoft | $0.088 | 76 | +59% |
| qwen-turboSame provider | Alibaba | $0.088 | 74 | +59% |
Best for
ChatbotAffordableFastLong Context
Modalities
TextVision
Where it fits — and where it doesn't
Good fit
- Chat and support: natural multi-turn conversation for user-facing products.
- Long documents: a 1000K window ingests a full contract, paper or large codebase in one pass.
- High-volume, cost-sensitive batch work: low rates suit classification, tagging and summarization at scale.
- Multimodal input: handles images, screenshots and scanned documents directly.
Poor fit
- No obvious disqualifiers — still benchmark on your own data before committing.
Frequently asked questions
How much does the qwen3.7-flash API cost?
qwen3.7-flash costs $0.03 per million input tokens and $0.13 per million output tokens. On a 3:1 input-to-output mix that blends to about $0.055 per million tokens.
What does qwen3.7-flash cost per month?
It depends on volume. Using the four worked scenarios on this page: a support chatbot runs about $6.25/month, RAG document Q&A about $6.88/month, a coding assistant about $6.20/month, and batch summarization about $34/month. Plug your own token counts into the cost calculator for a tailored figure.
How large is the qwen3.7-flash context window?
1000K tokens — roughly 1,333 pages of A4 text at ~750 tokens per page, ranking 25th of the 76 models tracked here.
qwen3.7-flash or Phi-4-mini — which is better value?
Phi-4-mini blends to about $0.025 per million tokens versus $0.055 for qwen3.7-flash — roughly 55% cheaper — at a quality score of 68 against —. If that quality gap does not show up on your task, take the cheaper one; if it does, stay with qwen3.7-flash. Benchmark both on your own data before deciding.
What is qwen3.7-flash best suited for?
Tagged use cases: chatbot, cheap, fast, long-context. Chat and support: natural multi-turn conversation for user-facing products. Less suitable: No obvious disqualifiers — still benchmark on your own data before committing.
How current is this qwen3.7-flash pricing?
Pricing here was last verified on 2026-09-02 against OpenRouter. llmprice.app runs a daily collection job, but providers can change rates between runs — confirm against Alibaba's official pricing page before you commit.
Estimate the real cost of this model
Bring tokens per request and monthly volume into the calculator to compare total model costs.
Related models
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View model
qwen3.5-flash
Input price$0.15
Output price$0.47
qwen-turbo
Input price$0.05
Output price$0.2
Pricing, speed and quality scores change over time. Confirm official documentation before production use.