Codestral 22B is 79% cheaper than Gemini 1.5 Pro on blended 3:1 token pricing. Codestral 22B costs $0.30/1M in and $0.90/1M out, while Gemini 1.5 Pro costs $1.25/1M in and $5.00/1M out.
Codestral 22B vs Gemini 1.5 Pro
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between Mistral AI and Google.
| Metric / Feature | Codestral 22B (Mistral AI) | Gemini 1.5 Pro (Google) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $0.30 | $1.25 |
| Output Price ($ / 1M Tokens) | $0.90 | $5.00 |
| Prompt Caching Input Rate | Not Available | $0.312/1M |
| Blended 3:1 Rate (Production) | $0.450 / 1M | $2.188 / 1M |
| Max Context Window | 128k | 128k |
| Multimodal Vision | ❌ Text Only | ✅ Supported |
| MMLU Benchmark | 81.1% | 85.9% |
| Throughput & Latency | Ultra-Fast (~80 t/s) | Standard (~35 t/s) |
| Best For | Fill-in-the-middle code completion, automated unit tests, IDE integration | Massive codebase analysis, hours of video comprehension, full book translation |
When to Choose Codestral 22B
Choose Codestral 22B if your workload requires fill-in-the-middle code completion, automated unit tests, ide integration. Ideal for teams needing Mistral AI's infrastructure and ecosystem tooling.
When to Choose Gemini 1.5 Pro
Choose Gemini 1.5 Pro if your primary objective is massive codebase analysis, hours of video comprehension, full book translation. Ideal for scaling high-throughput pipelines with Google.
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