o1-mini vs DeepSeek V3 / V2.5
Compare o1-mini vs DeepSeek V3 / V2.5 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
Full Metric & Specification Comparison
| Metric | o1-mini | DeepSeek V3 / V2.5 | Advantage |
|---|---|---|---|
| Provider | OpenAI | DeepSeek | - |
| Input Token Cost (1M) | $1.100 | $0.140 | DeepSeek V3 / V2.5 |
| Output Token Cost (1M) | $4.400 | $0.280 | DeepSeek V3 / V2.5 |
| Context Window | 128k tokens | 128k tokens | Tie |
| Intelligence Benchmark Score | 88/100 | 89/100 | DeepSeek V3 / V2.5 |
| Streaming Latency | Moderate | Fast | - |
Key Architectural Takeaways
- Input Token Cost: o1-mini is $1.10/1M vs DeepSeek V3 / V2.5 at $0.14/1M
- Output Token Cost: o1-mini is $4.40/1M vs DeepSeek V3 / V2.5 at $0.28/1M
- Context Window: o1-mini supports 128k tokens vs DeepSeek V3 / V2.5 with 128k tokens
- Benchmark Intelligence Rating: o1-mini scores 88/100 vs DeepSeek V3 / V2.5 at 89/100
- Inference Latency: o1-mini is rated Moderate vs DeepSeek V3 / V2.5 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-mini cheaper than DeepSeek V3 / V2.5?
DeepSeek V3 / V2.5 is significantly more economical, charging $0.14/1M input compared to $1.10/1M for o1-mini.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose DeepSeek V3 / V2.5. If you require peak reasoning accuracy and complex tool use, DeepSeek V3 / V2.5 is recommended.
How does context window compare between o1-mini and DeepSeek V3 / V2.5?
o1-mini offers the larger context window (128k tokens), allowing you to pass significantly larger codebases or documents without chunking.