Model Comparison
OLMo 2 32B
vs. Qwen3 14B (Reasoning)
Comparing 2 AI models · 12 benchmarks · Allen Institute for AI, Alibaba
Recommended Pick
AlQwen3 14B (Reasoning)13 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
OLMo 2 32B
$0.00/1M input price
Best Reasoning
Qwen3 14B (Reasoning)
51.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 14B (Reasoning)
13.8 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
OLMo 2 32B is ∞x cheaper on input tokens than Qwen3 14B (Reasoning).
Reasoning gap
Qwen3 14B (Reasoning) leads OLMo 2 32B by 41.6 points on reasoning.
Top-pick rationale
Qwen3 14B (Reasoning) wins 13 measurable categories, including Throughput, Reasoning, Intelligence, Math.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
OLMo 2 32B
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 14B (Reasoning)
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 | Al OLMo 2 32B | Top Pick Al Qwen3 14B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.35/1M |
| Output Cost | $0.00/1M | $4.20/1M |
| Blended (3:1) | — | $1.31/1M |
| Specifications | ||
| Organization | Allen Institute for AI | Alibaba |
| Release Date | Mar 13, 2025 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | — | 63.0 tok/s |
| TTFT | — | 1093ms |
| Latency | — | 32824ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 9.6 | 51.3 |
| Intelligence | 5.0 | 10.4 |
| Coding | — | 13.8 |
| Math | 3.3 | 55.7 |
| Standard Benchmarks | ||
| GPQA | 32.8% | 60.4% |
| MMLU Pro | 51.1% | 77.4% |
| HLE | 3.7% | 4.3% |
| LiveCodeBench | 6.8% | 52.3% |
| MATH 500 | — | 96.1% |
| AIME 2025 | 3.3% | 55.7% |
| AIME (Original) | — | 76.3% |
| SciCode | 8.0% | 31.6% |
| LCR | 0.0% | 0.0% |
| IFBench | 38.1% | 40.5% |
| TAU-bench v2 | 0.0% | 34.5% |
| TerminalBench Hard | 0.0% | 3.8% |
Key Takeaways
OLMo 2 32B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 14B (Reasoning) has the strongest reasoning profile with a 51.3 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3 14B (Reasoning) reaches a 13.8 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 2 32B
- Cost-sensitive applications
- High-volume processing
Qwen3 14B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
