Data verified: Aug 15, 2026, 11:13 AM · Prices sourced from official provider pages. Verify current rates before production use.
Data verified: Aug 15, 2026, 11:13 AM · Prices sourced from official provider pages. Verify current rates before production use.
Price, context and performance head to head. Data synced from the provider catalog.
Cheaper
Mistral Large 3 2512
Larger context
Qwen3.6 Plus
Faster
Qwen3.6 Plus
Higher quality
Qwen3.6 Plus
| Feature | Mistral Large 3 2512 | Qwen3.6 Plus |
|---|---|---|
| Provider | Mistral | Qwen |
| Tier | Flagship | Mid-tier |
| Input per 1M tokens | $0.5 | $0.325 |
| Output per 1M tokens | $1.5 | $1.95 |
| Cached input per 1M | $0.05 | $0.325 |
| Context window | 262.1K | 1M |
| Intelligence index | 16/100 | 41/100 |
| Coding index | 20/100 | 55/100 |
| Agentic index | 6/100 | 29/100 |
| GPQA Diamond | — | — |
| Tau-bench (airline) | — | — |
| Speed | Slow | Standard |
| Vision (image input) | Yes | Yes |
| Function calling | Yes | Yes |
| Batch API | No | No |
Enter how many requests per day you send with an average prompt (1K input + 1K output) and compare the monthly cost of both models.
Mistral Large 3 2512 saves $0.825/mo vs Qwen3.6 Plus
Want us to build it for you?
We integrate Mistral Large 3 2512 or Qwen3.6 Plus into your product with caching, observability and continuous evaluation — typically 40-80% cheaper than the obvious first pick.
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A token is the unit an AI model processes: usually between half a word and a full word. Rule of thumb: 1,000 tokens ≈ 750 English words. A 20-word sentence is about 26 tokens; a 300-word email is around 400. Models charge for input tokens (your prompt) and output tokens (their answer) separately.