GPT-4.1 mini vs Mistral Large 3
Compare OpenAI and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-4.1 mini
Mistral Large 3
Cost Differences
Mistral Large 3 costs more than GPT-4.1 mini
Feature Comparison
| Feature | GPT-4.1 mini | Mistral Large 3 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $0.40/1M tokens | $0.50/1M tokens |
| Output Price | $1.60/1M tokens | $1.50/1M tokens |
| Context Window | 200,000 tokens | 256,000 tokens |
| Max Output | 16,384 tokens | 32,768 tokens |
| Category | efficient | flagship |
| Capabilities | textvisioncode | textcodereasoning |
| Release Date | 4/14/2025 | 12/2/2025 |
GPT-4.1 mini vs Mistral Large 3: Which Should You Choose?
Choosing between GPT-4.1 mini 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. Meanwhile, Mistral Large 3 offers a significantly larger context window at 256,000 tokens vs 200,000 for GPT-4.1 mini.
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 mini is a efficient model while Mistral Large 3 is flagship. This means they're optimized for different workloads. Mistral Large 3 targets more demanding workloads, while GPT-4.1 mini provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-4.1 mini charges $1.60/1M 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-4.1 mini 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-4.1 mini when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Mistral Large 3 when:
- • You need a larger context window (256,000 tokens)
- • You need longer outputs (up to 32,768 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 mini (OpenAI)
Mistral Large 3 (Mistral AI)
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