Model Comparison
Olmo 3.1 32B Instruct
vs. Llama 3.1 Tulu3 405B
Comparing 2 AI models · 11 benchmarks · Allen Institute for AI
Recommended Pick
AlLlama 3.1 Tulu3 405B3 metric winsStrongest on: Reasoning, Intelligence, SciCode
Lowest Price
Olmo 3.1 32B Instruct
$0.00/1M input price
Best Reasoning
Llama 3.1 Tulu3 405B
30.9 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
Llama 3.1 Tulu3 405B leads Olmo 3.1 32B Instruct by 9.1 points on reasoning.
Top-pick rationale
Llama 3.1 Tulu3 405B wins 3 measurable categories, including Reasoning, Intelligence, SciCode.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Olmo 3.1 32B Instruct
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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Llama 3.1 Tulu3 405B
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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Which answer was more useful?
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Full Comparison
| Metric | Al Olmo 3.1 32B Instruct | Top Pick Al Llama 3.1 Tulu3 405B |
|---|---|---|
| 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 | Allen Institute for AI |
| Release Date | Jan 13, 2026 | Jan 30, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 21.8 | 30.9 |
| Intelligence | 6.5 | 8.3 |
| Standard Benchmarks | ||
| GPQA | 53.9% | 51.6% |
| MMLU Pro | — | 71.6% |
| HLE | 4.9% | 3.5% |
| LiveCodeBench | — | 29.1% |
| MATH 500 | — | 77.8% |
| AIME (Original) | — | 13.3% |
| SciCode | 16.7% | 30.2% |
| LCR | 0.0% | — |
| IFBench | 39.2% | — |
| TAU-bench v2 | 21.3% | — |
| TerminalBench Hard | 0.0% | — |
Key Takeaways
Olmo 3.1 32B Instruct offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Llama 3.1 Tulu3 405B has the strongest reasoning profile with a 30.9 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 Instruct
- Cost-sensitive applications
- High-volume processing
Llama 3.1 Tulu3 405B
- Complex reasoning tasks
- Research & analysis
