Model Comparison
Olmo 3.1 32B Instruct
vs. Qwen3 VL 4B Instruct
Comparing 2 AI models · 10 benchmarks · Allen Institute for AI, Alibaba
Recommended Pick
AlOlmo 3.1 32B Instruct5 metric winsStrongest on: Intelligence, GPQA, HLE
Lowest Price
Olmo 3.1 32B Instruct
$0.00/1M input price
Best Reasoning
Qwen3 VL 4B Instruct
23.8 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
Qwen3 VL 4B Instruct leads Olmo 3.1 32B Instruct by 2.0 points on reasoning.
Top-pick rationale
Olmo 3.1 32B Instruct wins 5 measurable categories, including Intelligence, GPQA, HLE, 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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Qwen3 VL 4B Instruct
Alibaba
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 | Top Pick Al Olmo 3.1 32B Instruct | Al Qwen3 VL 4B Instruct |
|---|---|---|
| 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 | Jan 13, 2026 | Oct 14, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 21.8 | 23.8 |
| Intelligence | 6.5 | 4.1 |
| Math | — | 37.0 |
| Standard Benchmarks | ||
| GPQA | 53.9% | 37.1% |
| MMLU Pro | — | 63.4% |
| HLE | 4.9% | 3.7% |
| LiveCodeBench | — | 29.0% |
| AIME 2025 | — | 37.0% |
| SciCode | 16.7% | 13.7% |
| LCR | 0.0% | 13.0% |
| IFBench | 39.2% | 31.8% |
| TAU-bench v2 | 21.3% | 23.4% |
| TerminalBench Hard | 0.0% | 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.
Qwen3 VL 4B Instruct has the strongest reasoning profile with a 23.8 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
Qwen3 VL 4B Instruct
- Complex reasoning tasks
- Research & analysis
