Codestral vs o4-mini Deep Research
Compare Mistral AI and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Codestral
o4-mini Deep Research
Cost Differences
o4-mini Deep Research costs more than Codestral
Feature Comparison
| Feature | Codestral | o4-mini Deep Research |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input Price | $0.30/1M tokens | $2.00/1M tokens |
| Output Price | $0.90/1M tokens | $8.00/1M tokens |
| Context Window | 128,000 tokens | 200,000 tokens |
| Max Output | 32,768 tokens | 32,768 tokens |
| Category | balanced | reasoning |
| Capabilities | textcode | textreasoningcode |
| Release Date | 7/30/2025 | 6/26/2025 |
Codestral vs o4-mini Deep Research: Which Should You Choose?
Choosing between Codestral and o4-mini Deep Research 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 o4-mini Deep Research. Meanwhile, o4-mini Deep Research 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 o4-mini Deep Research is reasoning. This means they're optimized for different workloads. o4-mini Deep Research 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 $8.00 for o4-mini Deep Research. 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 o4-mini Deep Research when:
- • You need a larger context window (200,000 tokens)
- • You need more capabilities (reasoning)
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Codestral (Mistral AI)
o4-mini Deep Research (OpenAI)
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