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o4-mini vs GLM-5
A detailed comparison of o4-mini (OpenAI) and GLM-5 (Zhipu AI) across pricing, performance, and features.
Pricing Comparison
| Metric | o4-mini | GLM-5 | Difference |
|---|---|---|---|
| Input / 1M tokens | $1.10 | $1.00 | -9% |
| Output / 1M tokens | $4.40 | $3.20 | -27% |
| Context window | 200K | 200K | — |
| Max output | 100K | 128K | — |
Benchmark Comparison
| Benchmark | o4-mini | GLM-5 |
|---|---|---|
| MMLU-Pro | 85% | 70.4% |
| HumanEval | 93.5% | 91% |
| GPQA | 76% | 72% |
Capabilities
| Capability | o4-mini | GLM-5 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✓ |
| vision | ✓ | ✓ |
o4-mini Strengths
- ✓Affordable reasoning model
- ✓200K context window
- ✓Good for math and science
o4-mini Weaknesses
- ✗Slower than non-reasoning models
- ✗Reasoning tokens add to effective cost
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: GLM-5 is the more affordable option at $1/$3.2 per 1M tokens.
Higher benchmarks: o4-mini scores higher on average across available benchmarks (84.8% avg).
Choose GLM-5 if cost matters most. Choose o4-mini if you need the best possible quality for complex tasks.