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Qwen2.5 Coder 32B Instruct API Pricing

Qwen2.5 Coder 32B Instruct costs $0.660 per 1M input tokens and $1.00 per 1M output tokens. Context window: 33K. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
643K
HF downloads
2K
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Intelligence & capability
via Artificial Analysis
6.7
Intelligence index · top 93% of 288 scored
$0.745
Blended $/1M (3:1 in:out)

Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.

Input / 1M tokens
$0.660
Output / 1M tokens
$1.00
Context window
33K
Max output
29K
Knowledge cutoff
2024-06-30

Training data ends here — newer events require retrieval or web search.

What would Qwen2.5 Coder 32B Instruct cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$9.28
Coding agent5,0008,000 / 2,000$36.40
RAG pipeline30,0004,000 / 500$94.20
Doc summarizer2,00020,000 / 1,000$28.40

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Qwen2.5 Coder 32B Instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...

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Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does Qwen2.5 Coder 32B Instruct cost?

Qwen2.5 Coder 32B Instruct costs $0.660 per 1M input tokens and $1.00 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 96% on a typical workload with comparable quality.

Official resources