Model Comparison
OLMo 2 32B
vs. Qwen3.5 4B (Reasoning)
Comparing 2 AI models · 10 benchmarks · Allen Institute for AI, Alibaba
Recommended Pick
Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
OLMo 2 32B
$0.00/1M input price
Best Reasoning
Qwen3.5 4B (Reasoning)
35.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 4B (Reasoning)
22.6 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 Qwen3.5 4B (Reasoning).
Reasoning gap
Qwen3.5 4B (Reasoning) leads OLMo 2 32B by 25.4 points on reasoning.
Top-pick rationale
Qwen3.5 4B (Reasoning) wins 10 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 2 32B
Allen Institute for AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.5 4B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Al OLMo 2 32B | Top Pick Al Qwen3.5 4B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.03/1M |
| Output Cost | $0.00/1M | $0.15/1M |
| Blended (3:1) | — | $0.06/1M |
| Specifications | ||
| Organization | Allen Institute for AI | Alibaba |
| Release Date | Mar 13, 2025 | Mar 2, 2026 |
| Performance & Speed | ||
| Throughput | — | 25.3 tok/s |
| TTFT | — | 398ms |
| Latency | — | 79571ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 9.6 | 35.0 |
| Intelligence | 5.0 | 20.1 |
| Coding | — | 22.6 |
| Math | 3.3 | — |
| Standard Benchmarks | ||
| GPQA | 32.8% | 77.1% |
| MMLU Pro | 51.1% | — |
| HLE | 3.7% | 7.8% |
| LiveCodeBench | 6.8% | — |
| AIME 2025 | 3.3% | — |
| SciCode | 8.0% | 16.1% |
| LCR | 0.0% | 55.7% |
| IFBench | 38.1% | 52.0% |
| TAU-bench v2 | 0.0% | 92.1% |
| TerminalBench Hard | 0.0% | 18.2% |
Key Takeaways
OLMo 2 32B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 4B (Reasoning) has the strongest reasoning profile with a 35.0 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.5 4B (Reasoning) reaches a 22.6 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
Qwen3.5 4B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development