Magistral Small vs o4-mini Deep Research
Magistral Small vs o4-mini Deep Research: Magistral Small is cheaper for input-heavy usage ($0.50/M vs $2.00/M input tokens), while o4-mini Deep Research is better for long-context tasks (200,000 tokens).
Direct answer: choose Magistral Small for lower token spend and choose o4-mini Deep Research when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Magistral Small
o4-mini Deep Research
Cost Differences
o4-mini Deep Research costs more than Magistral Small
Quick Recommendation
Winner for direct API pricing: Magistral Small. At the default workload, Magistral Small saves about $14.25/month ($173.375/year) versus o4-mini Deep Research.
Feature Comparison
| Feature | Magistral Small | o4-mini Deep Research |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input Price | $0.50/1M tokens | $2.00/1M tokens |
| Output Price | $1.50/1M tokens | $8.00/1M tokens |
| Context Window | 128,000 tokens | 200,000 tokens |
| Max Output | 16,384 tokens | 32,768 tokens |
| Category | reasoning | reasoning |
| Capabilities | textreasoning | textreasoningcode |
| Release Date | 12/15/2025 | 6/26/2025 |
Magistral Small vs o4-mini Deep Research: Which Should You Choose?
Choosing between Magistral Small and o4-mini Deep Research depends on your priorities: cost efficiency, context length, or raw capability. Magistral Small is the more affordable option at $0.50/1M input tokens — 75% 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 Magistral Small.
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.
Both models are in the reasoning category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Magistral Small would save you roughly $1,425.00/month compared to o4-mini Deep Research. For startups and indie developers, that difference can be significant.
Output costs matter too. Magistral Small charges $1.50/1M 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. Magistral Small has the edge here at $1.50/1M output tokens.
Best Use Cases
Choose Magistral Small 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 (code)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
Magistral Small
- • Input pricing: $0.50/M tokens
- • Output pricing: $1.50/M tokens
- • Context window: 128,000 tokens
- • Max output: 16,384 tokens
Watch out for
- • Smaller context window than o4-mini Deep Research
o4-mini Deep Research
- • Input pricing: $2.00/M tokens
- • Output pricing: $8.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Magistral Small
- • Higher output cost than Magistral Small
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Magistral Small (Mistral AI)
o4-mini Deep Research (OpenAI)
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Sign Up for OpenAI →Frequently Asked Questions
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What is the context window difference between Magistral Small and o4-mini Deep Research?▼
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