Qwen: Qwen3 235B A22B Thinking 2507 API Pricing
Qwen: Qwen3 235B A22B Thinking 2507 costs $0.450 per 1M input tokens and $3.50 per 1M output tokens. Context window: 128K. Prices verified 2026-10-21 · source
Alternatives to consider
97% cheaper with nearly identical quality (20.1 vs 12.7)
+43.3 quality points for 24% more
Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.
High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →
From our own daily snapshot archive — independent of provider announcements.
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.
Higher effort = deeper thinking = more reasoning tokens billed as output.
Training data ends here — newer events require retrieval or web search.
What would Qwen: Qwen3 235B A22B Thinking 2507 cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $17.60 |
| Coding agent | 5,000 | 8,000 / 2,000 | $53.00 |
| RAG pipeline | 30,000 | 4,000 / 500 | $106.50 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $25.00 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About Qwen: Qwen3 235B A22B Thinking 2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
Compare Qwen: Qwen3 235B A22B Thinking 2507 with
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- Thinking 2507 vs Anthropic: Claude Fable 5
- Thinking 2507 vs Anthropic: Claude Opus 5
- Thinking 2507 vs OpenAI: GPT-5.6 Sol
Popular head-to-heads — see all on the comparisons index.
Frequently asked questions
How much does Qwen: Qwen3 235B A22B Thinking 2507 cost?
Qwen: Qwen3 235B A22B Thinking 2507 costs $0.450 per 1M input tokens and $3.50 per 1M output tokens. Verified 2026-10-21 — provider source.
What is the context window?
128K tokens, with up to 16K output tokens per response. That's roughly 160 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 98% on a typical workload with comparable quality.
Official resources
- Qwen: Qwen3 235B A22B Thinking 2507 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.