GPT-4.1 nano vs Mistral Medium 3.1
Compare OpenAI and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-4.1 nano
Mistral Medium 3.1
Cost Differences
Mistral Medium 3.1 costs more than GPT-4.1 nano
Feature Comparison
| Feature | GPT-4.1 nano | Mistral Medium 3.1 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $0.10/1M tokens | $0.40/1M tokens |
| Output Price | $0.40/1M tokens | $2.00/1M tokens |
| Context Window | 128,000 tokens | 131,072 tokens |
| Max Output | 8,192 tokens | 16,384 tokens |
| Category | efficient | balanced |
| Capabilities | text | textcodereasoning |
| Release Date | 4/14/2025 | 8/1/2025 |
GPT-4.1 nano vs Mistral Medium 3.1: Which Should You Choose?
Choosing between GPT-4.1 nano and Mistral Medium 3.1 depends on your priorities: cost efficiency, context length, or raw capability. GPT-4.1 nano is the more affordable option at $0.10/1M input tokens — 75% cheaper than Mistral Medium 3.1. Meanwhile, Mistral Medium 3.1 offers a significantly larger context window at 131,072 tokens vs 128,000 for GPT-4.1 nano.
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-4.1 nano 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-4.1 nano provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-4.1 nano charges $0.40/1M 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. GPT-4.1 nano has the edge here at $0.40/1M output tokens.
Best Use Cases
Choose GPT-4.1 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 3.1 when:
- • You need a larger context window (131,072 tokens)
- • You need more capabilities (code, reasoning)
- • You need longer outputs (up to 16,384 tokens)
- • 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
GPT-4.1 nano (OpenAI)
Mistral Medium 3.1 (Mistral AI)
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