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DeepSeek V3 vs GLM-4.7
A detailed comparison of DeepSeek V3 (DeepSeek) and GLM-4.7 (Zhipu AI) across pricing, performance, and features.
Pricing Comparison
| Metric | DeepSeek V3 | GLM-4.7 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.14 | $0.60 | +329% |
| Output / 1M tokens | $0.28 | $2.20 | +686% |
| Context window | 164K | 200K | — |
| Max output | 16.384K | 128K | — |
Benchmark Comparison
| Benchmark | DeepSeek V3 | GLM-4.7 |
|---|---|---|
| MMLU-Pro | 78% | 84.3% |
| HumanEval | 89% | — |
| GPQA | — | 85.7% |
Capabilities
| Capability | DeepSeek V3 | GLM-4.7 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
| vision | ✗ | ✓ |
DeepSeek V3 Strengths
- ✓Cheapest capable model available
- ✓Strong coding performance
- ✓Open-source
DeepSeek V3 Weaknesses
- ✗No vision support
- ✗Smaller context than competitors
- ✗China-based — availability concerns
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
Quick Verdict
Best value: DeepSeek V3 is the more affordable option at $0.14/$0.28 per 1M tokens.
Higher benchmarks: GLM-4.7 scores higher on average across available benchmarks (85.0% avg).
Larger context: GLM-4.7 supports 200K tokens.
Choose DeepSeek V3 if cost matters most. Choose GLM-4.7 if you need the best possible quality for complex tasks.