o1 (Reasoning) vs Mistral Large 2
Compare o1 (Reasoning) vs Mistral Large 2 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
Full Metric & Specification Comparison
| Metric | o1 (Reasoning) | Mistral Large 2 | Advantage |
|---|---|---|---|
| Provider | OpenAI | Mistral | - |
| Input Token Cost (1M) | $15.000 | $2.000 | Mistral Large 2 |
| Output Token Cost (1M) | $60.000 | $6.000 | Mistral Large 2 |
| Context Window | 200k tokens | 128k tokens | o1 (Reasoning) |
| Intelligence Benchmark Score | 98/100 | 89/100 | o1 (Reasoning) |
| Streaming Latency | Deliberate | Fast | - |
Key Architectural Takeaways
- Input Token Cost: o1 (Reasoning) is $15.00/1M vs Mistral Large 2 at $2.00/1M
- Output Token Cost: o1 (Reasoning) is $60.00/1M vs Mistral Large 2 at $6.00/1M
- Context Window: o1 (Reasoning) supports 200k tokens vs Mistral Large 2 with 128k tokens
- Benchmark Intelligence Rating: o1 (Reasoning) scores 98/100 vs Mistral Large 2 at 89/100
- Inference Latency: o1 (Reasoning) is rated Deliberate vs Mistral Large 2 rated Fast
Simulate Your Team's Actual Spend
Quick Workload Presets
Pick a ready-made scenario or customize your token volume below.
Token & Usage Parameters
By switching or routing background tasks from GPT-4o to Gemini 1.5 Flash, your team saves up to $2,270 annually.
Lowest cost per token, high-frequency tasks, real-time audio/video
State-of-the-art open economics, high-performance general intelligence
High-volume text processing, fast chatbots, classification
Open-weights privacy, self-hosting or ultra-cheap hosted inferencing
Rapid code completion, customer service, structured data extraction
Fast STEM reasoning, competitive programming at lower cost
Massive context (2M tokens), full video/audio analysis, large codebases
Multilingual tasks, European compliance, enterprise code generation
Complex multimodal reasoning, coding, and production apps
Software engineering, nuanced writing, complex agentic workflows
Advanced mathematics, algorithmic coding, PhD-level scientific logic
Frequently Asked Questions
Is o1 (Reasoning) cheaper than Mistral Large 2?
Mistral Large 2 is significantly more economical, charging $2.00/1M input compared to $15.00/1M for o1 (Reasoning).
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, o1 (Reasoning) is recommended.
How does context window compare between o1 (Reasoning) and Mistral Large 2?
o1 (Reasoning) offers the larger context window (200k tokens), allowing you to pass significantly larger codebases or documents without chunking.