GPT-5 mini vs Magistral Medium
Compare OpenAI and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5 mini
Magistral Medium
Cost Differences
Magistral Medium costs more than GPT-5 mini
Feature Comparison
| Feature | GPT-5 mini | Magistral Medium |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $0.25/1M tokens | $2.00/1M tokens |
| Output Price | $2.00/1M tokens | $5.00/1M tokens |
| Context Window | 500,000 tokens | 128,000 tokens |
| Max Output | 65,536 tokens | 32,768 tokens |
| Category | efficient | reasoning |
| Capabilities | textvisioncode | textreasoning |
| Release Date | 8/7/2025 | 12/15/2025 |
GPT-5 mini vs Magistral Medium: Which Should You Choose?
Choosing between GPT-5 mini and Magistral Medium 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 — 88% cheaper than Magistral Medium. Meanwhile, GPT-5 mini offers a significantly larger context window at 500,000 tokens vs 128,000 for Magistral Medium.
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 Magistral Medium is reasoning. This means they're optimized for different workloads. Magistral Medium 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 $5.00 for Magistral Medium. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5 mini has the edge here at $2.00/1M output tokens.
Multimodal capabilities: GPT-5 mini supports vision (image inputs) while Magistral Medium 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 more capabilities (vision, code)
- • 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 Magistral Medium when:
- • 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-5 mini (OpenAI)
Magistral Medium (Mistral AI)
Start using GPT-5 mini today
Sign Up for OpenAI →Start using Magistral Medium today
Sign Up for Mistral AI →