- Rank
- #87
- Total Output Tokens
- 233,327
- Response Time (avg)
- 139.41s
- Total Cost
- $3.409
Kimi K3 (max) vs GLM 5.2 (medium)
Kimi K3 (max) leads on average score with 8.3 vs 8.2. GLM 5.2 (medium) has the lower benchmark cost at $1.007 vs $3.409. GLM 5.2 (medium) is faster at 26.88s vs 139.41s, with pass rates of 78.3% vs 81.2%.
Compared models
- Rank
- #94
- Total Output Tokens
- 81,020
- Response Time (avg)
- 26.88s
- Total Cost
- $1.007
Recommended model
GLM 5.2 (medium)
Its score stays close to the best score here (8.2 vs 8.3), while costing about 3.4x less than Kimi K3 (max).
Detailed comparison
| Metric | Kimi K3 Kimi K3 max | GLM 5.2 GLM 5.2 medium |
|---|---|---|
| Score | 8.3 | 8.2 |
| Rank | #87 | #94 |
| Reliability | 9.3 | 9.6 |
| Consistency | 9.3 | 8.1 |
| Attempts | 69/69 | 66/69 |
| Tests Correct | ||
| Attempt pass rate | 78.3% | 81.2% |
| Flaky tests | 2 | 4 |
| Total Runs | 69 | 66 |
| Cost per result | 23.601 | 2.890 |
| Total Cost | $3.409 | $1.007 |
| 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 | 227,164 |
| Output Tokens | 7,719 | 20,029 |
| Reasoning Tokens | 225,608 | 60,991 |
| Response Time (avg) | 139.41s | 26.88s |
| Response Time (max) | 766.58s | 102.40s |
| Response Time (total) | 2788.26s | 591.34s |
| 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
#94 GLM 5.2
medium- Cost
- $0.041
- Time
- 195.8s
- Tokens
- 9,287 tok
Category Breakdown
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