Model Comparison
Olmo 3.1 32B Instruct
vs. 105B (high)
Comparing 2 AI models · 7 benchmarks · Allen Institute for AI, Sarvam
Recommended Pick
Sa105B (high)8 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Olmo 3.1 32B Instruct
$0.00/1M input price
Best Reasoning
105B (high)
31.9 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
Price gap
Olmo 3.1 32B Instruct is ∞x cheaper on input tokens than 105B (high).
Reasoning gap
105B (high) leads Olmo 3.1 32B Instruct by 10.2 points on reasoning.
Top-pick rationale
105B (high) wins 8 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
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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105B (high)
Sarvam
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 Sa 105B (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.04/1M |
| Output Cost | $0.00/1M | $0.17/1M |
| Blended (3:1) | — | $0.07/1M |
| Specifications | ||
| Organization | Allen Institute for AI | Sarvam |
| Release Date | Jan 13, 2026 | Mar 6, 2026 |
| Performance & Speed | ||
| Throughput | — | 154.6 tok/s |
| TTFT | — | 1177ms |
| Latency | — | 14117ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 21.8 | 31.9 |
| Intelligence | 6.5 | 11.9 |
| Standard Benchmarks | ||
| GPQA | 53.9% | 73.8% |
| HLE | 4.9% | 10.1% |
| SciCode | 16.7% | 26.4% |
| LCR | 0.0% | 0.0% |
| IFBench | 39.2% | 34.4% |
| TAU-bench v2 | 21.3% | 46.8% |
| TerminalBench Hard | 0.0% | 1.5% |
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.
105B (high) has the strongest reasoning profile with a 31.9 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
105B (high)
- Complex reasoning tasks
- Research & analysis
