Model Comparison
V3.2 (Non-reasoning)
vs. o1-preview
Comparing 2 AI models · 11 benchmarks · DeepSeek, OpenAI
Recommended Pick
De V3.2 (Non-reasoning) 6 metric wins Strongest on: Value, Input price, Output price
Best Value
V3.2 (Non-reasoning)
100.0 value score
47.1 reasoning / $0.78/1M
Lowest Price
V3.2 (Non-reasoning)
$0.50/1M input price
Best Reasoning
o1-preview
58.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
V3.2 (Non-reasoning)
34.6 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
V3.2 (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
V3.2 (Non-reasoning) is 33x cheaper on input tokens than o1-preview.
Reasoning gap
o1-preview leads V3.2 (Non-reasoning) by 10.9 points on reasoning.
Coding gap
V3.2 (Non-reasoning) leads o1-preview by 0.6 points on coding.
Top-pick rationale
V3.2 (Non-reasoning) wins 6 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
V3.2 (Non-reasoning)
DeepSeek
TTFT
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Time
—
tok/s
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Tokens
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Cost
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o1-preview
OpenAI
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
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Which answer was more useful?
Full Comparison
| Metric | Top Pick De V3.2 (Non-reasoning) | Op o1-preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.50/1M | $16.50/1M |
| Output Cost | $1.60/1M | $66.00/1M |
| Blended (3:1) | $0.78/1M | $28.88/1M |
| Specifications | ||
| Organization | DeepSeek | OpenAI |
| Release Date | Dec 1, 2025 | Sep 12, 2024 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | 100.0 | 3.3 |
| Reasoning Score | 47.1 | 58.1 |
| Intelligence | 32.1 | 23.7 |
| Coding | 34.6 | 34.0 |
| Math | 59.0 | — |
| Standard Benchmarks | ||
| GPQA | 75.1% | — |
| MMLU Pro | 83.7% | — |
| HLE | 10.5% | — |
| LiveCodeBench | 59.3% | — |
| MATH 500 | — | 92.4% |
| AIME 2025 | 59.0% | — |
| SciCode | 38.7% | — |
| LCR | 39.0% | — |
| IFBench | 49.0% | — |
| TAU-bench v2 | 78.9% | — |
| TerminalBench Hard | 32.6% | — |
Key Takeaways
V3.2 (Non-reasoning) offers the best value at $0.50/1M, making it ideal for high-volume applications and cost-conscious projects.
o1-preview has the strongest reasoning profile with a 58.1 reasoning score, combining the available reasoning-heavy benchmarks.
V3.2 (Non-reasoning) reaches a 34.6 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
V3.2 (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
o1-preview
- Complex reasoning tasks
- Research & analysis
