- Rank
- #59
- Total Output Tokens
- 224,128
- Response Time (avg)
- 142.84s
- Total Cost
- $3.467
Kimi K3 (max) vs GLM 5.2 (medium)
Kimi K3 (max) leads on average score with 7.9 vs 7.8. GLM 5.2 (medium) has the lower benchmark cost at $0.276 vs $3.467. GLM 5.2 (medium) is faster at 23.28s vs 142.84s, with pass rates of 77.3% vs 80.3%.
- Rank
- #66
- Total Output Tokens
- 61,761
- Response Time (avg)
- 23.28s
- Total Cost
- $0.276
Recommended model
GLM 5.2 (medium)
Its score stays close to the best score here (7.8 vs 7.9), while costing about 12.6x less than Kimi K3 (max).
Detailed comparison
| Metric | Kimi K3 Kimi K3 max | GLM 5.2 GLM 5.2 medium |
|---|---|---|
| Score | 7.9 | 7.8 |
| Rank | #59 | #66 |
| Reliability | 9.0 | 9.5 |
| Consistency | 9.2 | 8.0 |
| Attempts | 66/66 | 63/66 |
| Tests Correct | ||
| Attempt pass rate | 77.3% | 80.3% |
| Flaky tests | 2 | 4 |
| Total Runs | 66 | 63 |
| Cost per result | 21.668 | 2.159 |
| Total Cost | $3.467 | $0.276 |
| Input Price | $3.000 / 1M | $1.190 / 1M |
| Output Price | $15.000 / 1M | $3.740 / 1M |
| Total Input Tokens | 34,960 | 37,199 |
| Output Tokens | 2,887 | 12,261 |
| Reasoning Tokens | 221,241 | 49,500 |
| Response Time (avg) | 142.84s | 23.28s |
| Response Time (max) | 766.58s | 101.36s |
| Response Time (total) | 2714.02s | 488.94s |
| 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
#66 GLM 5.2
medium- Cost
- $0.041
- Time
- 195.8s
- Tokens
- 9,287 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
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