Claude 3.5 Haiku vs Codestral
Compare Anthropic and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Claude 3.5 Haiku
Codestral
Cost Differences
Codestral costs less than Claude 3.5 Haiku
Feature Comparison
| Feature | Claude 3.5 Haiku | Codestral |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Input Price | $0.80/1M tokens | $0.30/1M tokens |
| Output Price | $4.00/1M tokens | $0.90/1M tokens |
| Context Window | 200,000 tokens | 128,000 tokens |
| Max Output | 8,192 tokens | 32,768 tokens |
| Category | efficient | balanced |
| Capabilities | textvision | textcode |
| Release Date | 11/4/2024 | 7/30/2025 |
Claude 3.5 Haiku vs Codestral: Which Should You Choose?
Choosing between Claude 3.5 Haiku 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 — 63% cheaper than Claude 3.5 Haiku. Meanwhile, Claude 3.5 Haiku 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 3.5 Haiku is a efficient model while Codestral is balanced. This means they're optimized for different workloads. Codestral targets more demanding workloads, while Claude 3.5 Haiku provides a cost-effective option for everyday tasks.
Output costs matter too. Claude 3.5 Haiku charges $4.00/1M 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 3.5 Haiku supports vision (image inputs) while Codestral is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Claude 3.5 Haiku when:
- • You need a larger context window (200,000 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 need longer outputs (up to 32,768 tokens)
- • 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 3.5 Haiku (Anthropic)
Codestral (Mistral AI)
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