GPT-5 nano vs Mistral Medium 3
GPT-5 nano vs Mistral Medium 3: GPT-5 nano is cheaper for input-heavy usage ($0.05/M vs $0.40/M input tokens), while GPT-5 nano is better for long-context tasks (128,000 tokens).
Direct answer: choose GPT-5 nano for lower token spend and choose GPT-5 nano 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 nano
Mistral Medium 3
Cost Differences
Mistral Medium 3 costs more than GPT-5 nano
Quick Recommendation
Winner for direct API pricing: GPT-5 nano. At the default workload, GPT-5 nano saves about $3.45/month ($41.975/year) versus Mistral Medium 3.
Feature Comparison
| Feature | GPT-5 nano | Mistral Medium 3 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $0.05/1M tokens | $0.40/1M tokens |
| Output Price | $0.40/1M tokens | $2.00/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 8,192 tokens | 16,384 tokens |
| Category | efficient | balanced |
| Capabilities | text | textcode |
| Release Date | 8/7/2025 | 5/7/2025 |
GPT-5 nano vs Mistral Medium 3: Which Should You Choose?
Choosing between GPT-5 nano and Mistral Medium 3 depends on your priorities: cost efficiency, context length, or raw capability. GPT-5 nano is the more affordable option at $0.05/1M input tokens — 88% cheaper than Mistral Medium 3.
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 nano is a efficient model while Mistral Medium 3 is balanced. This means they're optimized for different workloads. Mistral Medium 3 targets more demanding workloads, while GPT-5 nano provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-5 nano charges $0.40/1M output tokens vs $2.00 for Mistral Medium 3. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5 nano has the edge here at $0.40/1M output tokens.
Best Use Cases
Choose GPT-5 nano when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Mistral Medium 3 when:
- • You need more capabilities (code)
- • You need longer outputs (up to 16,384 tokens)
- • You're already using Mistral AI's API ecosystem
Pros and Caveats at a Glance
GPT-5 nano
- • Input pricing: $0.05/M tokens
- • Output pricing: $0.40/M tokens
- • Context window: 128,000 tokens
- • Max output: 8,192 tokens
Watch out for
- • Trade-offs are minor in this matchup.
Mistral Medium 3
- • Input pricing: $0.40/M tokens
- • Output pricing: $2.00/M tokens
- • Context window: 128,000 tokens
- • Max output: 16,384 tokens
Watch out for
- • Higher input cost than GPT-5 nano
- • Higher output cost than GPT-5 nano
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5 nano (OpenAI)
Mistral Medium 3 (Mistral AI)
Start using GPT-5 nano today
Sign Up for OpenAI →Start using Mistral Medium 3 today
Sign Up for Mistral AI →Frequently Asked Questions
Which is cheaper, GPT-5 nano or Mistral Medium 3?▼
What is the context window difference between GPT-5 nano and Mistral Medium 3?▼
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?▼
Related Comparisons
Related Articles
Learn when to pick each model, then compare live pricing scenarios.