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DeepSeek V3 vs GLM-5
A detailed comparison of DeepSeek V3 (DeepSeek) and GLM-5 (Zhipu AI) across pricing, performance, and features.
Pricing Comparison
| Metric | DeepSeek V3 | GLM-5 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.14 | $1.00 | +614% |
| Output / 1M tokens | $0.28 | $3.20 | +1043% |
| Context window | 164K | 200K | — |
| Max output | 16.384K | 128K | — |
Benchmark Comparison
| Benchmark | DeepSeek V3 | GLM-5 |
|---|---|---|
| MMLU-Pro | 78% | 70.4% |
| HumanEval | 89% | 91% |
| GPQA | — | 72% |
Capabilities
| Capability | DeepSeek V3 | GLM-5 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✗ | ✓ |
| 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-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: DeepSeek V3 is the more affordable option at $0.14/$0.28 per 1M tokens.
Higher benchmarks: DeepSeek V3 scores higher on average across available benchmarks (83.5% avg).
Larger context: GLM-5 supports 200K tokens.
Choose DeepSeek V3 if cost matters most. Choose GLM-5 if you need the best possible quality for complex tasks.