Model Comparison
Olmo 3 7B Instruct
vs. Qwen3.5 4B (Reasoning)
Comparing 2 AI models · 10 benchmarks · Allen Institute for AI, Alibaba
Recommended Pick
AlQwen3.5 4B (Reasoning)14 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3.5 4B (Reasoning)
100.0 value score
35.0 reasoning / $0.06/1M
Lowest Price
Qwen3.5 4B (Reasoning)
$0.03/1M 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
Best value
Qwen3.5 4B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 4B (Reasoning) is 3.3x cheaper on input tokens than Olmo 3 7B Instruct.
Reasoning gap
Qwen3.5 4B (Reasoning) leads Olmo 3 7B Instruct by 8.8 points on reasoning.
Top-pick rationale
Qwen3.5 4B (Reasoning) wins 14 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Olmo 3 7B 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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Qwen3.5 4B (Reasoning)
Alibaba
TTFT
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Time
—
tok/s
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Tokens
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Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Al Olmo 3 7B Instruct | Top Pick Al Qwen3.5 4B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.10/1M | $0.03/1M |
| Output Cost | $0.20/1M | $0.15/1M |
| Blended (3:1) | $0.13/1M | $0.06/1M |
| Specifications | ||
| Organization | Allen Institute for AI | Alibaba |
| Release Date | Nov 20, 2025 | Mar 2, 2026 |
| Performance & Speed | ||
| Throughput | — | 22.6 tok/s |
| TTFT | — | 392ms |
| Latency | — | 89052ms |
| Composite Indices | ||
| Value Score | 36.0 | 100.0 |
| Reasoning Score | 26.2 | 35.0 |
| Intelligence | 2.8 | 20.1 |
| Coding | — | 22.6 |
| Math | 41.3 | — |
| Standard Benchmarks | ||
| GPQA | 40.0% | 77.1% |
| MMLU Pro | 52.2% | — |
| HLE | 5.8% | 7.8% |
| LiveCodeBench | 26.6% | — |
| AIME 2025 | 41.3% | — |
| SciCode | 10.3% | 16.1% |
| LCR | 0.0% | 55.7% |
| IFBench | 32.8% | 52.0% |
| TAU-bench v2 | 12.6% | 92.1% |
| TerminalBench Hard | 0.0% | 18.2% |
Key Takeaways
Qwen3.5 4B (Reasoning) offers the best value at $0.03/1M,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 3 7B Instruct
- General-purpose AI
- Versatile applications
Qwen3.5 4B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
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