Qwen: Qwen2.5 7B Instruct API Pricing
Qwen: Qwen2.5 7B Instruct costs $0.100 per 1M input tokens and $0.200 per 1M output tokens. Context window: 33K. Prices verified 2026-10-21 · source
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What would Qwen: Qwen2.5 7B Instruct cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $1.60 |
| Coding agent | 5,000 | 8,000 / 2,000 | $6.00 |
| RAG pipeline | 30,000 | 4,000 / 500 | $15.00 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $4.40 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About Qwen: Qwen2.5 7B Instruct
Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
Compare Qwen: Qwen2.5 7B Instruct with
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Popular head-to-heads — see all on the comparisons index.
Frequently asked questions
How much does Qwen: Qwen2.5 7B Instruct cost?
Qwen: Qwen2.5 7B Instruct costs $0.100 per 1M input tokens and $0.200 per 1M output tokens. Verified 2026-10-21 — provider source.
What is the context window?
33K tokens, with up to 29K output tokens per response. That's roughly 41 pages of text in a single request.
Does it support prompt caching?
Prompt-caching pricing is not published for this model via OpenRouter.
What's a cheaper alternative?
ScaleDown: Summarize saves about 78% on a typical workload with comparable quality.
Official resources
- Qwen: Qwen2.5 7B Instruct on OpenRouter — live endpoint, pricing source of record.
- Artificial Analysis leaderboard → — independent intelligence and performance rankings.
- Qwen GitHub → — official model repositories and release notes.
- Shred your current bill — paste a CSV and see if switching saves money.