Claude Sonnet 4 vs Codestral
Compare Anthropic and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Claude Sonnet 4
Codestral
Cost Differences
Codestral costs less than Claude Sonnet 4
Feature Comparison
| Feature | Claude Sonnet 4 | Codestral |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Input Price | $3.00/1M tokens | $0.30/1M tokens |
| Output Price | $15.00/1M tokens | $0.90/1M tokens |
| Context Window | 200,000 tokens | 128,000 tokens |
| Max Output | 64,000 tokens | 32,768 tokens |
| Category | standard | balanced |
| Capabilities | textvisioncodereasoning | textcode |
| Release Date | 5/14/2025 | 7/30/2025 |
Claude Sonnet 4 vs Codestral: Which Should You Choose?
Choosing between Claude Sonnet 4 and Codestral depends on your priorities: cost efficiency, context length, or raw capability. Codestral is the more affordable option at $0.30/1M input tokens — 90% cheaper than Claude Sonnet 4. Meanwhile, Claude Sonnet 4 offers a significantly larger context window at 200,000 tokens vs 128,000 for Codestral.
These models come from different providers — Anthropic and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Anthropic, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Claude Sonnet 4 is a standard model while Codestral is balanced. This means they're optimized for different workloads. Codestral targets more demanding workloads, while Claude Sonnet 4 provides a cost-effective option for everyday tasks.
Output costs matter too. Claude Sonnet 4 charges $15.00/1M output tokens vs $0.90 for Codestral. 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: Claude Sonnet 4 supports vision (image inputs) while Codestral is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Claude Sonnet 4 when:
- • You need a larger context window (200,000 tokens)
- • You need more capabilities (vision, reasoning)
- • You need longer outputs (up to 64,000 tokens)
- • You're already using Anthropic's API ecosystem
Choose Codestral when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Claude Sonnet 4 (Anthropic)
Codestral (Mistral AI)
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