Key Takeaways
GLM 4.5 wins:
- No clear advantages in compared metrics
GLM 4.7 wins:
- Cheaper input tokens
- Cheaper output tokens
- Larger context window
- Faster response time
- Higher intelligence benchmark
- Better at coding
- Better at math
Price Advantage
GLM 4.7
Benchmark Advantage
GLM 4.7
Context Window
GLM 4.7
Speed
GLM 4.7
Pricing Comparison
Price Comparison
| Metric | GLM 4.5 | GLM 4.7 | Winner |
|---|---|---|---|
| Input (per 1M tokens) | $0.60 | $0.38 | GLM 4.7 |
| Output (per 1M tokens) | $2.20 | $1.75 | GLM 4.7 |
| Cache Read (per 1M) | $0.11 | $0.08 | GLM 4.7 |
Using a 3:1 input/output ratio, GLM 4.7 is 28% cheaper overall.
GLM 4.5 Providers
No provider data available
GLM 4.7 Providers
No provider data available
Benchmark Comparison
6
Benchmarks Compared
0
GLM 4.5 Wins
0
GLM 4.7 Wins
Benchmark Scores
| Benchmark | GLM 4.5 | GLM 4.7 | Winner |
|---|---|---|---|
Intelligence Index Overall intelligence score | - | 34.2 | - |
Coding Index Code generation & understanding | - | 32.0 | - |
Math Index Mathematical reasoning | - | 48.0 | - |
MMLU Pro Academic knowledge | - | 79.4 | - |
GPQA Graduate-level science | - | 66.4 | - |
LiveCodeBench Competitive programming | - | 56.2 | - |
GLM 4.7 significantly outperforms in coding benchmarks.
Cost vs Quality
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Other models
Context & Performance
Context Window
GLM 4.5
131,072
tokens
GLM 4.7
202,752
tokens
GLM 4.7 has a 35% larger context window.
Speed Performance
| Metric | GLM 4.5 | GLM 4.7 | Winner |
|---|---|---|---|
| Tokens/second | N/A | 77.5 tok/s | |
| Time to First Token | N/A | 0.73s |
Capabilities
Feature Comparison
| Feature | GLM 4.5 | GLM 4.7 |
|---|---|---|
| Vision (Image Input) | ||
| Tool/Function Calls | ||
| Reasoning Mode | ||
| Audio Input | ||
| Audio Output | ||
| PDF Input | ||
| Prompt Caching | ||
| Web Search |
License & Release
| Property | GLM 4.5 | GLM 4.7 |
|---|---|---|
| License | Open Source | Open Source |
| Author | Z-ai | Z-ai |
| Released | Jul 2025 | Dec 2025 |
GLM 4.5 Modalities
Input
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Output
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GLM 4.7 Modalities
Input
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Output
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