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GLM-4.7 vs Llama 4 Maverick
A detailed comparison of GLM-4.7 (Zhipu AI) and Llama 4 Maverick (Meta) across pricing, performance, and features.
Pricing Comparison
| Metric | GLM-4.7 | Llama 4 Maverick | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.60 | $0.31 | -48% |
| Output / 1M tokens | $2.20 | $0.85 | -61% |
| Context window | 200K | 1M | — |
| Max output | 128K | 32K | — |
Benchmark Comparison
| Benchmark | GLM-4.7 | Llama 4 Maverick |
|---|---|---|
| MMLU-Pro | 84.3% | 80.5% |
| HumanEval | — | 90.2% |
| GPQA | 85.7% | — |
Capabilities
| Capability | GLM-4.7 | Llama 4 Maverick |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✗ |
| text | ✓ | ✓ |
| vision | ✓ | ✓ |
GLM-4.7 Strengths
- ✓Excellent value — strong benchmarks at $0.60/$2.20
- ✓Open-weight (MIT license)
- ✓Top scores on AIME 25 and BrowseComp
GLM-4.7 Weaknesses
- ✗No tool-use support yet
- ✗358B parameters — still heavy for self-hosting
- ✗Smaller ecosystem than OpenAI/Anthropic
Llama 4 Maverick Strengths
- ✓Open-source and self-hostable
- ✓1M context window
- ✓Very competitive via API providers
Llama 4 Maverick Weaknesses
- ✗Requires significant compute to self-host
- ✗Fewer tool-use capabilities than proprietary models
Quick Verdict
Best value: Llama 4 Maverick is the more affordable option at $0.31/$0.85 per 1M tokens.
Higher benchmarks: Llama 4 Maverick scores higher on average across available benchmarks (85.3% avg).
Larger context: Llama 4 Maverick supports 1M tokens.
Choose Llama 4 Maverick if cost matters most. Choose GLM-4.7 if you need the best possible quality for complex tasks.