Claude Haiku 4.5 vs Codestral
Compare Anthropic and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Claude Haiku 4.5
Codestral
Cost Differences
Codestral costs less than Claude Haiku 4.5
Feature Comparison
| Feature | Claude Haiku 4.5 | Codestral |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Input Price | $1.00/1M tokens | $0.30/1M tokens |
| Output Price | $5.00/1M tokens | $0.90/1M tokens |
| Context Window | 200,000 tokens | 128,000 tokens |
| Max Output | 64,000 tokens | 32,768 tokens |
| Category | efficient | balanced |
| Capabilities | textvision | textcode |
| Release Date | 10/15/2025 | 7/30/2025 |
Claude Haiku 4.5 vs Codestral: Which Should You Choose?
Choosing between Claude Haiku 4.5 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 — 70% cheaper than Claude Haiku 4.5. Meanwhile, Claude Haiku 4.5 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 Haiku 4.5 is a efficient model while Codestral is balanced. This means they're optimized for different workloads. Codestral targets more demanding workloads, while Claude Haiku 4.5 provides a cost-effective option for everyday tasks.
Output costs matter too. Claude Haiku 4.5 charges $5.00/1M 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 Haiku 4.5 supports vision (image inputs) while Codestral is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Claude Haiku 4.5 when:
- • You need a larger context window (200,000 tokens)
- • You need longer outputs (up to 64,000 tokens)
- • You're already using Anthropic's API ecosystem
- • You're running high-volume, latency-sensitive workloads
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 Haiku 4.5 (Anthropic)
Codestral (Mistral AI)
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