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Qwen: Qwen3 Coder 30B A3B Instruct API Pricing

Qwen: Qwen3 Coder 30B A3B Instruct costs $0.070 per 1M input tokens and $0.280 per 1M output tokens. Context window: 262K. 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
577K
HF downloads
1K
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
9.6
Intelligence index · top 80% of 288 scored
$0.1225
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
$0.070
Output / 1M tokens
$0.280
Context window
262K
Max output
236K
Knowledge cutoff
2025-06-30

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

What would Qwen: Qwen3 Coder 30B A3B Instruct cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$1.68
Coding agent5,0008,000 / 2,000$5.60
RAG pipeline30,0004,000 / 500$12.60
Doc summarizer2,00020,000 / 1,000$3.36

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

About Qwen: Qwen3 Coder 30B A3B Instruct

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the...

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Frequently asked questions

How much does Qwen: Qwen3 Coder 30B A3B Instruct cost?

Qwen: Qwen3 Coder 30B A3B Instruct costs $0.070 per 1M input tokens and $0.280 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

262K tokens, with up to 236K output tokens per response. That's roughly 328 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