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Llama 4 Scout vs GLM-5
A detailed comparison of Llama 4 Scout (Meta) and GLM-5 (Zhipu AI) across pricing, performance, and features.
Pricing Comparison
| Metric | Llama 4 Scout | GLM-5 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.18 | $1.00 | +456% |
| Output / 1M tokens | $0.63 | $3.20 | +408% |
| Context window | 10M | 200K | — |
| Max output | 32K | 128K | — |
Benchmark Comparison
| Benchmark | Llama 4 Scout | GLM-5 |
|---|---|---|
| MMLU-Pro | 74.2% | 70.4% |
| HumanEval | 86% | 91% |
| GPQA | — | 72% |
Capabilities
| Capability | Llama 4 Scout | GLM-5 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✗ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✗ | ✓ |
| vision | ✓ | ✓ |
Llama 4 Scout Strengths
- ✓10M token context — largest available
- ✓Open-source
- ✓Ultra cheap via API providers
Llama 4 Scout Weaknesses
- ✗Lower benchmarks than Maverick
- ✗Limited tool-use support
GLM-5 Strengths
- ✓Open-weight (MIT license) — self-hostable
- ✓77.8% SWE-Bench Verified — top-tier coding
- ✓128K max output — huge generation window
GLM-5 Weaknesses
- ✗MMLU-Pro lags behind Western flagships
- ✗744B parameters — heavy to self-host
- ✗China-based — availability concerns
Quick Verdict
Best value: Llama 4 Scout is the more affordable option at $0.18/$0.63 per 1M tokens.
Higher benchmarks: Llama 4 Scout scores higher on average across available benchmarks (80.1% avg).
Larger context: Llama 4 Scout supports 10M tokens.
Choose Llama 4 Scout if cost matters most. Choose GLM-5 if you need the best possible quality for complex tasks.