- Rank
- #179
- Total Output Tokens
- 487,184
- Response Time (avg)
- 122.19s
- Total Cost
- $3.582
Grok 4.7 (high) vs GLM 5.2
The average score is effectively tied at 6.7 vs 6.6. GLM 5.2 has the lower benchmark cost at $0.152 vs $3.582. GLM 5.2 is faster at 11.27s vs 122.19s, with pass rates of 72.5% vs 63.8%.
Compared models
- Rank
- #186
- Total Output Tokens
- 17,685
- Response Time (avg)
- 11.27s
- Total Cost
- $0.152
Recommended model
GLM 5.2
It has the best score here (6.6), while costing about 23.7x less than Grok 4.7 (high).
Detailed comparison
| Metric | Grok 4.7 Grok 4.7 high | GLM 5.2 GLM 5.2 none |
|---|---|---|
| Score | 6.7 | 6.6 |
| Rank | #179 | #186 |
| Reliability | 9.6 | 10.0 |
| Consistency | 7.7 | 9.0 |
| Attempts | 69/69 | 69/69 |
| Tests Correct | ||
| Attempt pass rate | 72.5% | 63.8% |
| Flaky tests | 7 | 3 |
| Total Runs | 69 | 69 |
| Cost per result | 23.360 | 1.753 |
| Total Cost | $3.582 | $0.152 |
| Input Price | $2.000 / 1M | $0.325 / 1M |
| Output Price | $6.000 / 1M | $3.990 / 1M |
| Total Input Tokens | 329,276 | 247,919 |
| Output Tokens | 8,172 | 17,685 |
| Reasoning Tokens | 479,012 | 0 |
| Response Time (avg) | 122.19s | 11.27s |
| Response Time (max) | 573.57s | 79.65s |
| Response Time (total) | 2810.40s | 259.32s |
| Parameters | ~1.7T total (~170B active) | 744B total (40B active) |
| Availability | Closed | Open source |
Model generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#179 SpaceXAI: Grok 4.7
high- Cost
- $0.110
- Time
- 301.3s
- Tokens
- 23,143 tok
#186 GLM 5.2
none- Cost
- $0.033
- Time
- 87.7s
- Tokens
- 7,455 tok
Top Models by Score
Score vs Total Cost
Response Time (avg)
Score vs Response Time (avg)
Total Output Tokens
Score vs Total Output Tokens
Category Breakdown
Quick Compare
Switch Comparison Pair
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