DeepSeek V3.2 (Non-reasoning) vs o1: The Ultimate Performance & Pricing Comparison
Deep dive into reasoning, benchmarks, and latency insights.
The Final Verdict in the DeepSeek V3.2 (Non-reasoning) vs o1 Showdown
Model Snapshot
Key decision metrics at a glance.
- Reasoning
- 6
- Coding
- 3
- Multimodal
- 3
- Long Context
- 4
- Blended Price / 1M tokens
- $0.000
- P95 Latency
- 1000ms
- Tokens per second
- 32.729tokens/sec
- Reasoning
- 6
- Coding
- 2
- Multimodal
- 3
- Long Context
- 4
- Blended Price / 1M tokens
- $0.026
- P95 Latency
- 1000ms
- Tokens per second
- 161.725tokens/sec
Overall Capabilities
The capability radar provides a holistic view of the DeepSeek V3.2 (Non-reasoning) vs o1 matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our DeepSeek V3.2 (Non-reasoning) vs o1 analysis.
Benchmark Breakdown
For a granular look, this chart directly compares scores across standardized benchmarks. In the critical MMLU Pro test, a key part of the DeepSeek V3.2 (Non-reasoning) vs o1 debate, DeepSeek V3.2 (Non-reasoning) scores 60 against o1's 60. This data-driven approach is essential for any serious DeepSeek V3.2 (Non-reasoning) vs o1 comparison.
Speed & Latency
Speed is a crucial factor in the DeepSeek V3.2 (Non-reasoning) vs o1 decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.
The Economics of DeepSeek V3.2 (Non-reasoning) vs o1
Power is only one part of the equation. This DeepSeek V3.2 (Non-reasoning) vs o1 pricing analysis gives you a true sense of value.
Real-World Cost Scenario
DeepSeek V3.2 (Non-reasoning) would cost $0.000, whereas o1 would cost $0.030. This practical calculation is vital for any developer considering the DeepSeek V3.2 (Non-reasoning) vs o1 choice.Which Model Wins the DeepSeek V3.2 (Non-reasoning) vs o1 Battle for You?
Your Questions about the DeepSeek V3.2 (Non-reasoning) vs o1 Comparison
Data source: https://artificialanalysis.ai/
