Data verified: Sep 5, 2026, 12:34 AM UTC · Prices sourced from official provider pages. Verify current rates before production use.
Data verified: Sep 5, 2026, 12:34 AM UTC · 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
Devstral 2 2512
Larger context
Gemini 3.5 Flash
Faster
Gemini 3.5 Flash
Higher quality
Gemini 3.5 Flash
| Feature | Devstral 2 2512 | Gemini 3.5 Flash |
|---|---|---|
| Provider | Mistral | |
| Tier | Mid-tier | Budget |
| Input per 1M tokens | $0.4 | $1.5 |
| Output per 1M tokens | $2 | $9 |
| Cached input per 1M | $0.04 | $0.15 |
| Context window | 262.1K | 1.0M |
| Intelligence index | — | — |
| Coding index | 31/100 | 70/100 |
| Agentic index | — | 27/100 |
| GPQA Diamond | — | 0.93 |
| Tau-bench (airline) | — | 0.75 |
| Speed | Standard | Fast |
| Vision (image input) | No | 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.
Devstral 2 2512 saves $24.3/mo vs Gemini 3.5 Flash
Want us to build it for you?
We integrate Devstral 2 2512 or Gemini 3.5 Flash 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.