Codestral vs Gemini 3.1 Pro
Compare Mistral AI and Google AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Codestral
Gemini 3.1 Pro
Cost Differences
Gemini 3.1 Pro costs more than Codestral
Feature Comparison
| Feature | Codestral | Gemini 3.1 Pro |
|---|---|---|
| Provider | Mistral AI | |
| Input Price | $0.30/1M tokens | $2.00/1M tokens |
| Output Price | $0.90/1M tokens | $12.00/1M tokens |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Max Output | 32,768 tokens | 65,536 tokens |
| Category | balanced | flagship |
| Capabilities | textcode | textvisionaudiovideocodereasoning |
| Release Date | 7/30/2025 | 2/19/2026 |
Codestral vs Gemini 3.1 Pro: Which Should You Choose?
Choosing between Codestral and Gemini 3.1 Pro depends on your priorities: cost efficiency, context length, or raw capability. Codestral is the more affordable option at $0.30/1M input tokens — 85% cheaper than Gemini 3.1 Pro. Meanwhile, Gemini 3.1 Pro offers a significantly larger context window at 1,000,000 tokens vs 128,000 for Codestral.
These models come from different providers — Mistral AI and Google — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to Googleinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Codestral is a balanced model while Gemini 3.1 Pro is flagship. This means they're optimized for different workloads. Gemini 3.1 Pro targets more demanding workloads, while Codestral provides a cost-effective option for everyday tasks.
Output costs matter too. Codestral charges $0.90/1M output tokens vs $12.00 for Gemini 3.1 Pro. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Codestral has the edge here at $0.90/1M output tokens.
Multimodal capabilities: Gemini 3.1 Pro supports vision (image inputs) while Codestral is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Codestral when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
Choose Gemini 3.1 Pro when:
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (vision, audio, video, reasoning)
- • You need longer outputs (up to 65,536 tokens)
- • You're already using Google's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Codestral (Mistral AI)
Gemini 3.1 Pro (Google)
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