Mistral Large vs Qwen: Qwen3 235B A22B Instruct 2507
Head-to-head API pricing and cost comparison between Mistral’s Mistral Large and Qwen’s Qwen: Qwen3 235B A22B Instruct 2507. Prices auto-refresh daily from OpenRouter.
Qwen: Qwen3 235B A22B Instruct 2507 is 96% cheaper for input tokens; Qwen: Qwen3 235B A22B Instruct 2507 also wins on output tokens.
Side-by-side comparison
| Spec | Mistral Large | Qwen: Qwen3 235B A22B Instruct 2507 |
|---|---|---|
| Input price (per 1M) | $2.00 | $0.07 |
| Cached input (per 1M) | $0.20 | — |
| Output price (per 1M) | $6.00 | $0.10 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | — | — |
| Context window | 128K | 262K |
| Vision support | No | No |
| Caching support | Yes | No |
| Batch API | No | No |
| Reasoning capability | No | No |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | Mistral Large | Qwen: Qwen3 235B A22B Instruct 2507 | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $66.00 | $1.67 | $64.33 Qwen: Qwen3 235B A22B Instruct 2507 wins |
10K req/day 1500in / 500out tokens | $1,800 | $46.95 | $1,753 Qwen: Qwen3 235B A22B Instruct 2507 wins |
100K req/day 3000in / 800out tokens | $32,400 | $879.00 | $31,521 Qwen: Qwen3 235B A22B Instruct 2507 wins |
1M req/day 8000in / 2000out tokens | $840,000 | $23,040 | $816,960 Qwen: Qwen3 235B A22B Instruct 2507 wins |
Adjust input/output token counts, request volume, batch & cached pricing.
Related comparisons
Frequently asked questions
Which is cheaper, Mistral Large or Qwen: Qwen3 235B A22B Instruct 2507?
For input tokens, Qwen: Qwen3 235B A22B Instruct 2507 is roughly 96% cheaper at $0.07/1M vs $2.00/1M. For output tokens, Qwen: Qwen3 235B A22B Instruct 2507 wins at $0.10/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
Mistral Large has a context window of 128K tokens. Qwen: Qwen3 235B A22B Instruct 2507 offers 262K tokens. Larger context windows are valuable for long documents, RAG pipelines, and multi-turn conversations — but they come with higher input-token bills if you fill them every request.
Should I use Mistral Large or Qwen: Qwen3 235B A22B Instruct 2507?
Choose Mistral Large if you’re already on the Mistral stack, want broad ecosystem support, or prefer its feature set. Choose Qwen: Qwen3 235B A22B Instruct 2507 for Qwen’s ecosystem, or its cheaper input tokens. Run a small benchmark on your own prompts before committing — price is only one axis.
How are these prices kept current?
Prices are pulled directly from OpenRouter’s public models API once every 24 hours via a Convex cron job, then normalized to per-1M-token figures. Last refresh: May 28, 2026.