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GLM-4.7 vs Claude Haiku 4.5
A detailed comparison of GLM-4.7 (Zhipu AI) and Claude Haiku 4.5 (Anthropic) across pricing, performance, and features.
Pricing Comparison
| Metric | GLM-4.7 | Claude Haiku 4.5 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.60 | $0.80 | +33% |
| Output / 1M tokens | $2.20 | $4.00 | +82% |
| Context window | 200K | 200K | — |
| Max output | 128K | 8.192K | — |
Benchmark Comparison
| Benchmark | GLM-4.7 | Claude Haiku 4.5 |
|---|---|---|
| MMLU-Pro | 84.3% | 69.4% |
| HumanEval | — | 88.1% |
| GPQA | 85.7% | — |
Capabilities
| Capability | GLM-4.7 | Claude Haiku 4.5 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✗ |
| text | ✓ | ✓ |
| tool-use | ✗ | ✓ |
| 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
Claude Haiku 4.5 Strengths
- ✓Very fast responses
- ✓Cheapest Anthropic option
- ✓Good for classification and extraction
Claude Haiku 4.5 Weaknesses
- ✗Weakest reasoning in the Claude family
- ✗Can struggle with nuanced instructions
Quick Verdict
Best value: GLM-4.7 is the more affordable option at $0.6/$2.2 per 1M tokens.
Higher benchmarks: GLM-4.7 scores higher on average across available benchmarks (85.0% avg).
Choose GLM-4.7 if cost matters most. Choose Claude Haiku 4.5 if you need the best possible quality for complex tasks.