Codex Mini vs Mistral Small 3.2
Codex Mini vs Mistral Small 3.2: Mistral Small 3.2 is cheaper for input-heavy usage ($0.10/M vs $1.50/M input tokens), while Codex Mini is better for long-context tasks (200,000 tokens).
Direct answer: choose Mistral Small 3.2 for lower token spend and choose Codex Mini 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)
Codex Mini
Mistral Small 3.2
Cost Differences
Mistral Small 3.2 costs less than Codex Mini
Quick Recommendation
Winner for direct API pricing: Mistral Small 3.2. At the default workload, Mistral Small 3.2 saves about $12.75/month ($155.125/year) versus Codex Mini.
Feature Comparison
| Feature | Codex Mini | Mistral Small 3.2 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $1.50/1M tokens | $0.10/1M tokens |
| Output Price | $6.00/1M tokens | $0.30/1M tokens |
| Context Window | 200,000 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 8,192 tokens |
| Category | efficient | efficient |
| Capabilities | textcodereasoning | textcode |
| Release Date | 2/2/2026 | 12/2/2025 |
Codex Mini vs Mistral Small 3.2: Which Should You Choose?
Choosing between Codex Mini and Mistral Small 3.2 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Small 3.2 is the more affordable option at $0.10/1M input tokens — 93% cheaper than Codex Mini. Meanwhile, Codex Mini offers a significantly larger context window at 200,000 tokens vs 128,000 for Mistral Small 3.2.
These models come from different providers — OpenAI and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Mistral Small 3.2 would save you roughly $1,275.00/month compared to Codex Mini. For startups and indie developers, that difference can be significant.
Output costs matter too. Codex Mini charges $6.00/1M output tokens vs $0.30 for Mistral Small 3.2. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Small 3.2 has the edge here at $0.30/1M output tokens.
Best Use Cases
Choose Codex Mini when:
- • You need a larger context window (200,000 tokens)
- • You need more capabilities (reasoning)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Mistral Small 3.2 when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Pros and Caveats at a Glance
Codex Mini
- • Input pricing: $1.50/M tokens
- • Output pricing: $6.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Mistral Small 3.2
- • Higher output cost than Mistral Small 3.2
Mistral Small 3.2
- • Input pricing: $0.10/M tokens
- • Output pricing: $0.30/M tokens
- • Context window: 128,000 tokens
- • Max output: 8,192 tokens
Watch out for
- • Smaller context window than Codex Mini
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Codex Mini (OpenAI)
Mistral Small 3.2 (Mistral AI)
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Which is cheaper, Codex Mini or Mistral Small 3.2?▼
What is the context window difference between Codex Mini and Mistral Small 3.2?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare OpenAI and Mistral AI API pricing beyond this model matchup?▼
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