Codestral vs Codex Mini
Compare Mistral AI and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Codestral
Codex Mini
Cost Differences
Codex Mini costs more than Codestral
Feature Comparison
| Feature | Codestral | Codex Mini |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input Price | $0.30/1M tokens | $1.50/1M tokens |
| Output Price | $0.90/1M tokens | $6.00/1M tokens |
| Context Window | 128,000 tokens | 200,000 tokens |
| Max Output | 32,768 tokens | 32,768 tokens |
| Category | balanced | efficient |
| Capabilities | textcode | textcodereasoning |
| Release Date | 7/30/2025 | 2/2/2026 |
Codestral vs Codex Mini: Which Should You Choose?
Choosing between Codestral and Codex Mini depends on your priorities: cost efficiency, context length, or raw capability. Codestral is the more affordable option at $0.30/1M input tokens — 80% cheaper than Codex Mini. Meanwhile, Codex Mini offers a significantly larger context window at 200,000 tokens vs 128,000 for Codestral.
These models come from different providers — Mistral AI and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Codestral is a balanced model while Codex Mini is efficient. This means they're optimized for different workloads. Codex Mini 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 $6.00 for Codex Mini. 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.
Best Use Cases
Choose Codestral when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
Choose Codex Mini when:
- • You need a larger context window (200,000 tokens)
- • You need more capabilities (reasoning)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Codestral (Mistral AI)
Codex Mini (OpenAI)
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