GPT-4o (Omni) vs Mistral Large 2
Compare GPT-4o (Omni) vs Mistral Large 2 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
GPT-4o (Omni) charges $2.50/1M input and $10.00/1M output tokens, compared to Mistral Large 2 at $2.00/1M input and $6.00/1M output. Mistral Large 2 is 1.3x cheaper on input tokens. In benchmark reasoning, GPT-4o (Omni) holds the higher intelligence rating (92/100). For latency-critical streaming, GPT-4o (Omni) delivers 90 t/s (420ms TTFT) while Mistral Large 2 provides 80 t/s (390ms TTFT).
Full Metric & Specification Comparison
| Metric | GPT-4o (Omni) | Mistral Large 2 | Advantage |
|---|---|---|---|
| Provider | OpenAI | Mistral | - |
| Input Token Cost (1M) | $2.500 | $2.000 | Mistral Large 2 |
| Output Token Cost (1M) | $10.000 | $6.000 | Mistral Large 2 |
| Context Window | 128k tokens | 128k tokens | Tie |
| Intelligence Benchmark Score | 92/100 | 89/100 | GPT-4o (Omni) |
| Streaming Latency | Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: GPT-4o (Omni) is $2.50/1M vs Mistral Large 2 at $2.00/1M
- Output Token Cost: GPT-4o (Omni) is $10.00/1M vs Mistral Large 2 at $6.00/1M
- Context Window: GPT-4o (Omni) supports 128k tokens vs Mistral Large 2 with 128k tokens
- Benchmark Intelligence Rating: GPT-4o (Omni) scores 92/100 vs Mistral Large 2 at 89/100
- Inference Latency: GPT-4o (Omni) is rated Fast vs Mistral Large 2 rated Fast
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying Mistral Large 2 over GPT-4o (Omni) saves $37.50/mo ($450/yr) at this volume.
Frequently Asked Questions
Is GPT-4o (Omni) cheaper than Mistral Large 2?
Mistral Large 2 is significantly more economical, charging $2.00/1M input compared to $2.50/1M for GPT-4o (Omni).
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose Mistral Large 2. If you require peak reasoning accuracy and complex tool use, GPT-4o (Omni) is recommended.
How does context window compare between GPT-4o (Omni) and Mistral Large 2?
GPT-4o (Omni) offers the larger context window (128k tokens), allowing you to pass significantly larger codebases or documents without chunking.
Related Model Head-to-Head Comparisons
Explore all 100+ comparisonsNever Miss an AI Token Price Cut
Whenever OpenAI, Anthropic, Google, or DeepSeek drop their API rates or increase context windows, we send a 60-second summary so your team can cut bills immediately.