- Rank
- #59
- Total Output Tokens
- 224,128
- Response Time (avg)
- 142.84s
- Total Cost
- $3.467
Kimi K3 (max) 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 $1.463 vs $3.467. GLM 5.2 (high) is faster at 69.86s vs 142.84s, with pass rates of 77.3% vs 69.7%.
- Rank
- #56
- Total Output Tokens
- 364,655
- Response Time (avg)
- 69.86s
- Total Cost
- $1.463
Recommended model
GLM 5.2 (high)
It has the best score here (8.0), while costing about 2.4x less than Kimi K3 (max).
Detailed comparison
| Metric | Kimi K3 Kimi K3 max | GLM 5.2 GLM 5.2 high |
|---|---|---|
| Score | 7.9 | 8.0 |
| Rank | #59 | #56 |
| Reliability | 9.0 | 10.0 |
| Consistency | 9.2 | 8.6 |
| Attempts | 66/66 | 66/66 |
| Tests Correct | ||
| Attempt pass rate | 77.3% | 69.7% |
| Flaky tests | 2 | 3 |
| Total Runs | 66 | 66 |
| Cost per result | 21.668 | 6.849 |
| Total Cost | $3.467 | $1.463 |
| Input Price | $3.000 / 1M | $1.190 / 1M |
| Output Price | $15.000 / 1M | $3.740 / 1M |
| Total Input Tokens | 34,960 | 83,822 |
| Output Tokens | 2,887 | 72,040 |
| Reasoning Tokens | 221,241 | 292,615 |
| Response Time (avg) | 142.84s | 69.86s |
| Response Time (max) | 766.58s | 599.43s |
| Response Time (total) | 2714.02s | 1536.98s |
| Parameters | 2.8T total (104B active) | 744B total (40B active) |
| Availability | Weights available | Open source |
Model generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#59 MoonshotAI: Kimi K3
max- Cost
- $0.281
- Time
- 506.9s
- Tokens
- 18,863 tok
#56 GLM 5.2
high
Invalid SVG
- 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
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