GPT-5 mini vs Mistral Medium 3.1
GPT-5 mini vs Mistral Medium 3.1: GPT-5 mini is cheaper for input-heavy usage ($0.25/M vs $0.40/M input tokens), while GPT-5 mini is better for long-context tasks (500,000 tokens).
Direct answer: choose GPT-5 mini for lower token spend and choose GPT-5 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)
GPT-5 mini
Mistral Medium 3.1
Cost Differences
Mistral Medium 3.1 costs more than GPT-5 mini
Quick Recommendation
Winner for direct API pricing: GPT-5 mini. At the default workload, GPT-5 mini saves about $0.45/month ($5.475/year) versus Mistral Medium 3.1.
Feature Comparison
| Feature | GPT-5 mini | Mistral Medium 3.1 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $0.25/1M tokens | $0.40/1M tokens |
| Output Price | $2.00/1M tokens | $2.00/1M tokens |
| Context Window | 500,000 tokens | 131,072 tokens |
| Max Output | 65,536 tokens | 16,384 tokens |
| Category | efficient | balanced |
| Capabilities | textvisioncode | textcodereasoning |
| Release Date | 8/7/2025 | 8/1/2025 |
GPT-5 mini vs Mistral Medium 3.1: Which Should You Choose?
Choosing between GPT-5 mini and Mistral Medium 3.1 depends on your priorities: cost efficiency, context length, or raw capability. GPT-5 mini is the more affordable option at $0.25/1M input tokens — 38% cheaper than Mistral Medium 3.1. Meanwhile, GPT-5 mini offers a significantly larger context window at 500,000 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: GPT-5 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 GPT-5 mini provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-5 mini charges $2.00/1M output tokens vs $2.00 for Mistral Medium 3.1.
Multimodal capabilities: GPT-5 mini supports vision (image inputs) while Mistral Medium 3.1 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose GPT-5 mini when:
- • Budget is a primary concern
- • You need a larger context window (500,000 tokens)
- • You need longer outputs (up to 65,536 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Mistral Medium 3.1 when:
- • You're already using Mistral AI's API ecosystem
Pros and Caveats at a Glance
GPT-5 mini
- • Input pricing: $0.25/M tokens
- • Output pricing: $2.00/M tokens
- • Context window: 500,000 tokens
- • Max output: 65,536 tokens
Watch out for
- • Trade-offs are minor in this matchup.
Mistral Medium 3.1
- • Input pricing: $0.40/M tokens
- • Output pricing: $2.00/M tokens
- • Context window: 131,072 tokens
- • Max output: 16,384 tokens
Watch out for
- • Higher input cost than GPT-5 mini
- • Smaller context window than GPT-5 mini
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5 mini (OpenAI)
Mistral Medium 3.1 (Mistral AI)
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Sign Up for Mistral AI →Frequently Asked Questions
Which is cheaper, GPT-5 mini or Mistral Medium 3.1?▼
What is the context window difference between GPT-5 mini and Mistral Medium 3.1?▼
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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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