o3-mini (Reasoning) vs Mistral Large 2
Compare o3-mini (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 | o3-mini (Reasoning) | Mistral Large 2 | Advantage |
|---|---|---|---|
| Provider | OpenAI | Mistral | - |
| Input Token Cost (1M) | $1.100 | $2.000 | o3-mini (Reasoning) |
| Output Token Cost (1M) | $4.400 | $6.000 | o3-mini (Reasoning) |
| Context Window | 200k tokens | 128k tokens | o3-mini (Reasoning) |
| Intelligence Benchmark Score | 93/100 | 89/100 | o3-mini (Reasoning) |
| Streaming Latency | Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: o3-mini (Reasoning) is $1.10/1M vs Mistral Large 2 at $2.00/1M
- Output Token Cost: o3-mini (Reasoning) is $4.40/1M vs Mistral Large 2 at $6.00/1M
- Context Window: o3-mini (Reasoning) supports 200k tokens vs Mistral Large 2 with 128k tokens
- Benchmark Intelligence Rating: o3-mini (Reasoning) scores 93/100 vs Mistral Large 2 at 89/100
- Inference Latency: o3-mini (Reasoning) is rated Fast vs Mistral Large 2 rated Fast
Simulate Your Team's Actual Spend
Quick Workload Presets
Pick a scenario or fine-tune token parameters and cloud host below.
Token & Usage ParametersLLM API
Switching from GPT-4o ($195.00/mo) to Gemini 1.5 Flash ($5.85/mo) saves 97%.
Lowest cost per token, high-frequency tasks, real-time audio/video
State-of-the-art open economics, high-performance general intelligence
Real-time conversational streaming, vision, multimodal processing at speed
High-volume text processing, fast chatbots, structured JSON extraction
Top open-weights coding, math, and multilingual benchmark performance
Open-weights privacy, self-hosting or ultra-cheap hosted inferencing
Complex math, algorithmic reasoning, open deep-thinking workflows
Rapid code completion, customer service, fast structured parsing
Cost-effective scientific & coding reasoning, high-accuracy logic
Massive context (2M tokens), full video/audio analysis, large codebases
Multilingual tasks, European compliance, enterprise code generation
Real-time information synthesis, creative generation, vision analysis
Complex multimodal reasoning, coding, and production enterprise apps
Software engineering, nuanced writing, complex agentic tool use
Advanced mathematics, algorithmic coding, PhD-level scientific logic
Frequently Asked Questions
Is o3-mini (Reasoning) cheaper than Mistral Large 2?
o3-mini (Reasoning) is significantly more economical, charging $1.10/1M input compared to $2.00/1M for Mistral Large 2.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose o3-mini (Reasoning). If you require peak reasoning accuracy and complex tool use, o3-mini (Reasoning) is recommended.
How does context window compare between o3-mini (Reasoning) and Mistral Large 2?
o3-mini (Reasoning) offers the larger context window (200k tokens), allowing you to pass significantly larger codebases or documents without chunking.