- Rank
- #87
- Total Output Tokens
- 233,327
- Response Time (avg)
- 139.41s
- Total Cost
- $3.409
Kimi K3 (max) vs GLM 5.2 (high)
GLM 5.2 (high) leads on average score with 8.4 vs 8.3. Kimi K3 (max) has the lower benchmark cost at $3.409 vs $4.632. GLM 5.2 (high) is faster at 69.11s vs 139.41s, with pass rates of 78.3% vs 71.0%.
Compared models
- Rank
- #83
- Total Output Tokens
- 382,333
- Response Time (avg)
- 69.11s
- Total Cost
- $4.632
Recommended model
GLM 5.2 (high)
It has the best score here (8.4), while responding about 2.0x faster than Kimi K3 (max).
Detailed comparison
| Metric | Kimi K3 Kimi K3 max | GLM 5.2 GLM 5.2 high |
|---|---|---|
| Score | 8.3 | 8.4 |
| Rank | #87 | #83 |
| Reliability | 9.3 | 10.0 |
| Consistency | 9.3 | 8.6 |
| Attempts | 69/69 | 69/69 |
| Tests Correct | ||
| Attempt pass rate | 78.3% | 71.0% |
| Flaky tests | 2 | 3 |
| Total Runs | 69 | 69 |
| Cost per result | 23.601 | 7.314 |
| Total Cost | $3.409 | $4.632 |
| Input Price | $0.830 / 1M | $0.153 / 1M |
| Output Price | $14.000 / 1M | $12.000 / 1M |
| Cache Read Price | $0.270 / 1M | $0.150 / 1M |
| Cache Write Price | N/A | N/A |
| Total Input Tokens | 170,700 | 288,913 |
| Output Tokens | 7,719 | 79,462 |
| Reasoning Tokens | 225,608 | 303,120 |
| Response Time (avg) | 139.41s | 69.11s |
| Response Time (max) | 766.58s | 599.43s |
| Response Time (total) | 2788.26s | 1589.43s |
| Parameters | 2.8T total (104B active) | 744B total (40B active) |
| Availability | Weights available | Open source |
Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.
Model generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#87 MoonshotAI: Kimi K3
max- Cost
- $0.281
- Time
- 506.9s
- Tokens
- 18,863 tok
#83 GLM 5.2
high
Reached the allocated time limit (300 seconds) without receiving showcase output.
- Cost
- $0.000
- Time
- 300.0s
- Tokens
- 0 tok
Category Breakdown
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