Model Comparison
Olmo 3.1 32B Think
vs. Qwen2.5 Max
Comparing 2 AI models · 12 benchmarks · Allen Institute for AI, Alibaba
Recommended Pick
AlOlmo 3.1 32B Think5 metric winsStrongest on: Reasoning, GPQA, MMLU Pro
Lowest Price
Olmo 3.1 32B Think
$0.00/1M input price
Best Reasoning
Olmo 3.1 32B Think
45.6 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 3.1 32B Think leads Qwen2.5 Max by 9.5 points on reasoning.
Top-pick rationale
Olmo 3.1 32B Think wins 5 measurable categories, including Reasoning, GPQA, MMLU Pro, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Olmo 3.1 32B Think
Allen Institute for AI
TTFT
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Time
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tok/s
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Tokens
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Cost
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Qwen2.5 Max
Alibaba
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Al Olmo 3.1 32B Think | Al Qwen2.5 Max |
|---|---|---|
| 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 | Alibaba |
| Release Date | Dec 12, 2025 | Jan 28, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 45.6 | 36.0 |
| Intelligence | 8.1 | 10.2 |
| Math | 77.3 | — |
| Standard Benchmarks | ||
| GPQA | 59.1% | 58.7% |
| MMLU Pro | 76.3% | 76.2% |
| HLE | 6.0% | 4.5% |
| LiveCodeBench | 69.5% | 35.9% |
| MATH 500 | — | 83.5% |
| AIME 2025 | 77.3% | — |
| AIME (Original) | — | 23.3% |
| SciCode | 29.3% | 33.7% |
| LCR | 0.0% | — |
| IFBench | 66.0% | — |
| TAU-bench v2 | 0.0% | — |
| TerminalBench Hard | 0.0% | — |
Key Takeaways
Olmo 3.1 32B Think offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Olmo 3.1 32B Think has the strongest reasoning profile with a 45.6 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 3.1 32B Think
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Qwen2.5 Max
- General-purpose AI
- Versatile applications
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