Model Comparison
Olmo 3 32B Think
vs. 3.5 (1210)
Comparing 2 AI models · 12 benchmarks · Allen Institute for AI, OpenChat
Recommended Pick
AlOlmo 3 32B Think6 metric winsStrongest on: Reasoning, Intelligence, GPQA
Lowest Price
Olmo 3 32B Think
$0.00/1M input price
Best Reasoning
Olmo 3 32B Think
44.1 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Reasoning gap
Olmo 3 32B Think leads 3.5 (1210) by 31.8 points on reasoning.
Top-pick rationale
Olmo 3 32B Think wins 6 measurable categories, including Reasoning, Intelligence, GPQA, MMLU Pro.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Olmo 3 32B Think
Allen Institute for AI
TTFT
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tok/s
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Cost
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3.5 (1210)
OpenChat
TTFT
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Time
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tok/s
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Tokens
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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Al Olmo 3 32B Think | Op 3.5 (1210) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Allen Institute for AI | OpenChat |
| Release Date | Nov 20, 2025 | Dec 18, 2023 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 44.1 | 12.3 |
| Intelligence | 6.4 | 3.0 |
| Math | 73.7 | — |
| Standard Benchmarks | ||
| GPQA | 61.0% | 23.0% |
| MMLU Pro | 75.9% | 31.0% |
| HLE | 5.9% | 4.8% |
| LiveCodeBench | 67.2% | 11.5% |
| MATH 500 | — | 30.7% |
| AIME 2025 | 73.7% | — |
| AIME (Original) | — | 0.0% |
| SciCode | 28.6% | — |
| LCR | 0.0% | — |
| IFBench | 49.1% | — |
| TAU-bench v2 | 0.0% | — |
| TerminalBench Hard | 1.5% | — |
Key Takeaways
Olmo 3 32B Think offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Olmo 3 32B Think has the strongest reasoning profile with a 44.1 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Olmo 3 32B Think
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
3.5 (1210)
- General-purpose AI
- Versatile applications
