GPT-5 vs Mistral Large 3
Compare OpenAI and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5
Mistral Large 3
Cost Differences
Mistral Large 3 costs less than GPT-5
Feature Comparison
| Feature | GPT-5 | Mistral Large 3 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $1.25/1M tokens | $0.50/1M tokens |
| Output Price | $10.00/1M tokens | $1.50/1M tokens |
| Context Window | 1,000,000 tokens | 256,000 tokens |
| Max Output | 131,072 tokens | 32,768 tokens |
| Category | flagship | flagship |
| Capabilities | textvisionaudiocode | textcodereasoning |
| Release Date | 8/7/2025 | 12/2/2025 |
GPT-5 vs Mistral Large 3: Which Should You Choose?
Choosing between GPT-5 and Mistral Large 3 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Large 3 is the more affordable option at $0.50/1M input tokens — 60% cheaper than GPT-5. Meanwhile, GPT-5 offers a significantly larger context window at 1,000,000 tokens vs 256,000 for Mistral Large 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.
Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Mistral Large 3 would save you roughly $1,500.00/month compared to GPT-5. For startups and indie developers, that difference can be significant.
Output costs matter too. GPT-5 charges $10.00/1M output tokens vs $1.50 for Mistral Large 3. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Large 3 has the edge here at $1.50/1M output tokens.
Multimodal capabilities: GPT-5 supports vision (image inputs) while Mistral Large 3 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose GPT-5 when:
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (vision, audio)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using OpenAI's API ecosystem
Choose Mistral Large 3 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
GPT-5 (OpenAI)
Mistral Large 3 (Mistral AI)
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