Model Comparison
Olmo 3 32B Think
vs. Qwen3.5 0.8B (Reasoning)
Comparing 2 AI models · 10 benchmarks · Allen Institute for AI, Alibaba
Recommended Pick
Strongest 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
Best for Coding
Qwen3.5 0.8B (Reasoning)
0.0 coding index
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 Qwen3.5 0.8B (Reasoning) by 38.2 points on reasoning.
Top-pick rationale
Olmo 3 32B Think wins 7 measurable categories, including Reasoning, Intelligence, GPQA, HLE.
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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Time
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tok/s
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Tokens
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Cost
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Qwen3.5 0.8B (Reasoning)
Alibaba
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Al Olmo 3 32B Think | Al Qwen3.5 0.8B (Reasoning) |
|---|---|---|
| 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 | Nov 20, 2025 | Mar 2, 2026 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 44.1 | 5.9 |
| Intelligence | 6.4 | 5.5 |
| Coding | — | 0.0 |
| Math | 73.7 | — |
| Standard Benchmarks | ||
| GPQA | 61.0% | 11.1% |
| MMLU Pro | 75.9% | — |
| HLE | 5.9% | 1.2% |
| LiveCodeBench | 67.2% | — |
| AIME 2025 | 73.7% | — |
| SciCode | 28.6% | 0.0% |
| LCR | 0.0% | 5.3% |
| IFBench | 49.1% | 21.5% |
| TAU-bench v2 | 0.0% | 47.7% |
| TerminalBench Hard | 1.5% | 0.0% |
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.
Qwen3.5 0.8B (Reasoning) reaches a 0.0 coding index,making it the top choice for software development and code generation tasks.
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
Qwen3.5 0.8B (Reasoning)
- Code generation
- Software development