Model Comparison
Qwen2.5 Coder Instruct 7B
vs. Qwen3 1.7B (Reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3 1.7B (Reasoning)6 metric winsStrongest on: Reasoning, GPQA, MMLU Pro
Lowest Price
Qwen2.5 Coder Instruct 7B
$0.00/1M input price
Best Reasoning
Qwen3 1.7B (Reasoning)
37.3 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 1.7B (Reasoning) leads Qwen2.5 Coder Instruct 7B by 14.3 points on reasoning.
Top-pick rationale
Qwen3 1.7B (Reasoning) wins 6 measurable categories, including Reasoning, GPQA, MMLU Pro, LiveCodeBench.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen2.5 Coder Instruct 7B
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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Qwen3 1.7B (Reasoning)
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 | Al Qwen2.5 Coder Instruct 7B | Top Pick Al Qwen3 1.7B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Sep 19, 2024 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 22.9 | 37.3 |
| Intelligence | 4.5 | 2.6 |
| Math | — | 38.7 |
| Standard Benchmarks | ||
| GPQA | 33.9% | 35.6% |
| MMLU Pro | 47.3% | 57.0% |
| HLE | 4.8% | 4.8% |
| LiveCodeBench | 12.6% | 30.8% |
| MATH 500 | 66.0% | 89.4% |
| AIME 2025 | — | 38.7% |
| AIME (Original) | 5.3% | 51.0% |
| SciCode | 14.8% | 4.3% |
| LCR | — | 0.0% |
| IFBench | — | 26.9% |
| TAU-bench v2 | — | 26.0% |
| TerminalBench Hard | — | 0.0% |
Key Takeaways
Qwen2.5 Coder Instruct 7B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 1.7B (Reasoning) has the strongest reasoning profile with a 37.3 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
Qwen2.5 Coder Instruct 7B
- Cost-sensitive applications
- High-volume processing
Qwen3 1.7B (Reasoning)
- Complex reasoning tasks
- Research & analysis
