Codex Mini vs Mistral Medium 3.1
Compare OpenAI and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Codex Mini
Mistral Medium 3.1
Cost Differences
Mistral Medium 3.1 costs less than Codex Mini
Feature Comparison
| Feature | Codex Mini | Mistral Medium 3.1 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $1.50/1M tokens | $0.40/1M tokens |
| Output Price | $6.00/1M tokens | $2.00/1M tokens |
| Context Window | 200,000 tokens | 131,072 tokens |
| Max Output | 32,768 tokens | 16,384 tokens |
| Category | efficient | balanced |
| Capabilities | textcodereasoning | textcodereasoning |
| Release Date | 2/2/2026 | 8/1/2025 |
Codex Mini vs Mistral Medium 3.1: Which Should You Choose?
Choosing between Codex Mini and Mistral Medium 3.1 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Medium 3.1 is the more affordable option at $0.40/1M input tokens — 73% cheaper than Codex Mini. Meanwhile, Codex Mini offers a significantly larger context window at 200,000 tokens vs 131,072 for Mistral Medium 3.1.
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.
These models target different tiers: Codex Mini is a efficient model while Mistral Medium 3.1 is balanced. This means they're optimized for different workloads. Mistral Medium 3.1 targets more demanding workloads, while Codex Mini provides a cost-effective option for everyday tasks.
Output costs matter too. Codex Mini charges $6.00/1M output tokens vs $2.00 for Mistral Medium 3.1. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Medium 3.1 has the edge here at $2.00/1M output tokens.
Best Use Cases
Choose Codex Mini when:
- • You need a larger context window (200,000 tokens)
- • 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 Medium 3.1 when:
- • Budget is a primary concern
- • 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
Codex Mini (OpenAI)
Mistral Medium 3.1 (Mistral AI)
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