- Rank
- #81
- Total Output Tokens
- 231,848
- Response Time (avg)
- 59.02s
- Total Cost
- $1.320
Grok 4.7 (low) vs GLM 5.2 (high)
GLM 5.2 (high) leads on average score with 8.0 vs 7.9. GLM 5.2 (high) has the lower benchmark cost at $0.799 vs $1.320. Grok 4.7 (low) is faster at 59.02s vs 69.86s, with pass rates of 77.3% vs 69.7%.
Compared models
- Rank
- #78
- Total Output Tokens
- 364,655
- Response Time (avg)
- 69.86s
- Total Cost
- $0.799
Recommended model
GLM 5.2 (high)
It has the best score here (8.0), while costing about 1.7x less than Grok 4.7 (low).
Detailed comparison
| Metric | Grok 4.7 Grok 4.7 low | GLM 5.2 GLM 5.2 high |
|---|---|---|
| Score | 7.9 | 8.0 |
| Rank | #81 | #78 |
| Reliability | 10.0 | 10.0 |
| Consistency | 8.3 | 8.6 |
| Attempts | 66/66 | 66/66 |
| Tests Correct | ||
| Attempt pass rate | 77.3% | 69.7% |
| Flaky tests | 5 | 3 |
| Total Runs | 66 | 66 |
| Cost per result | 9.422 | 6.849 |
| Total Cost | $1.320 | $0.799 |
| Input Price | $1.600 / 1M | $0.650 / 1M |
| Output Price | $4.800 / 1M | $2.042 / 1M |
| Total Input Tokens | 128,832 | 83,822 |
| Output Tokens | 6,840 | 72,040 |
| Reasoning Tokens | 225,008 | 292,615 |
| Response Time (avg) | 59.02s | 69.86s |
| Response Time (max) | 389.63s | 599.43s |
| Response Time (total) | 1298.42s | 1536.98s |
| 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.
#81 SpaceXAI: Grok 4.7
low- Cost
- $0.007
- Time
- 15.2s
- Tokens
- 1,537 tok
#78 GLM 5.2
high
Reached the allocated time limit (300 seconds) without receiving showcase output.
- Cost
- $0.000
- Time
- 300.0s
- Tokens
- 0 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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