Model Comparison
GLM-4.5 (Reasoning)
vs. Qwen2.5 Coder Instruct 7B
Comparing 2 AI models · 12 benchmarks · Z AI, Alibaba
Recommended Pick
Z GLM-4.5 (Reasoning) 10 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Qwen2.5 Coder Instruct 7B
$0.00/1M input price
Best Reasoning
GLM-4.5 (Reasoning)
64.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
GLM-4.5 (Reasoning)
26.3 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
Qwen2.5 Coder Instruct 7B is ∞x cheaper on input tokens than GLM-4.5 (Reasoning).
Reasoning gap
GLM-4.5 (Reasoning) leads Qwen2.5 Coder Instruct 7B by 40.2 points on reasoning.
Top-pick rationale
GLM-4.5 (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.
GLM-4.5 (Reasoning)
Z 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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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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Which answer was more useful?
Full Comparison
| Metric | Top Pick Z GLM-4.5 (Reasoning) | Al Qwen2.5 Coder Instruct 7B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | $0.00/1M |
| Output Cost | $2.20/1M | $0.00/1M |
| Blended (3:1) | $1.00/1M | — |
| Specifications | ||
| Organization | Z AI | Alibaba |
| Release Date | Jul 28, 2025 | Sep 19, 2024 |
| Performance & Speed | ||
| Throughput | 51.4 tok/s | — |
| TTFT | 1156ms | — |
| Latency | 40098ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 64.2 | 24.0 |
| Intelligence | 26.4 | 10.0 |
| Coding | 26.3 | — |
| Math | 73.7 | — |
| Standard Benchmarks | ||
| GPQA | 78.2% | 33.9% |
| MMLU Pro | 83.5% | 47.3% |
| HLE | 12.2% | 4.8% |
| LiveCodeBench | 73.8% | 12.6% |
| MATH 500 | 97.9% | 66.0% |
| AIME 2025 | 73.7% | — |
| AIME (Original) | 87.3% | 5.3% |
| SciCode | 34.8% | 14.8% |
| LCR | 48.3% | — |
| IFBench | 44.1% | — |
| TAU-bench v2 | 43.0% | — |
| TerminalBench Hard | 22.0% | — |
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.
GLM-4.5 (Reasoning) has the strongest reasoning profile with a 64.2 reasoning score, combining the available reasoning-heavy benchmarks.
GLM-4.5 (Reasoning) reaches a 26.3 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
GLM-4.5 (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen2.5 Coder Instruct 7B
- Cost-sensitive applications
- High-volume processing
