- Rank
- #198
- Total Output Tokens
- 144,359
- Response Time (avg)
- 21.21s
- Total Cost
- $0.506
KAT-Coder-Pro V2.5 (high) vs GLM 5.1
The average score is effectively tied at 6.5 vs 6.5. GLM 5.1 has the lower benchmark cost at $0.311 vs $0.506. GLM 5.1 is faster at 11.10s vs 21.21s, with pass rates of 60.9% vs 47.8%.
Compared models
- Rank
- #196
- Total Output Tokens
- 20,076
- Response Time (avg)
- 11.10s
- Total Cost
- $0.311
Recommended model
GLM 5.1
It has the best score here (6.5), while costing about 1.6x less than KAT-Coder-Pro V2.5 (high).
Detailed comparison
| Metric | KAT-Coder-Pro V2.5 KAT-Coder-Pro V2.5 high | GLM 5.1 GLM 5.1 none |
|---|---|---|
| Score | 6.5 | 6.5 |
| Rank | #198 | #196 |
| Reliability | 10.0 | 10.0 |
| Consistency | 7.9 | 8.2 |
| Attempts | 69/69 | 69/69 |
| Tests Correct | ||
| Attempt pass rate | 60.9% | 47.8% |
| Flaky tests | 6 | 5 |
| Total Runs | 69 | 69 |
| Cost per result | 4.599 | 3.478 |
| Total Cost | $0.506 | $0.311 |
| Input Price | $0.740 / 1M | $0.965 / 1M |
| Output Price | $2.960 / 1M | $3.032 / 1M |
| Total Input Tokens | 106,085 | 258,956 |
| Output Tokens | 9,071 | 20,076 |
| Reasoning Tokens | 135,288 | 0 |
| Response Time (avg) | 21.21s | 11.10s |
| Response Time (max) | 199.97s | 107.19s |
| Response Time (total) | 487.83s | 255.39s |
| Parameters | ~700B total (~72B 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.
#198 KAT-Coder-Pro V2.5
high- Cost
- $0.009
- Time
- 26.4s
- Tokens
- 3,117 tok
#196 GLM 5.1
none
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
| Agentic | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 3.0 | 10.0 | 0.0% | 0 | 1.52s | 0 | 0 | 0 | |
| GLM 5.1 | 10.0 | 10.0 | 100.0% | 0 | 107.19s | 134,737 | 5,683 | 0 |
| Anti-AI Tricks | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 7.0 | 8.0 | 66.7% | 1 | 3.17s | 672 | 447 | 2,716 | |
| GLM 5.1 | 4.0 | 6.3 | 25.0% | 2 | 2.11s | 555 | 305 | 0 |
| Coding | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 6.4 | 7.9 | 44.4% | 1 | 22.00s | 7,893 | 422 | 20,461 | |
| GLM 5.1 | 3.9 | 9.7 | 0.0% | 0 | 4.96s | 7,256 | 525 | 0 |
| Combined | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 7.3 | 5.8 | 83.3% | 1 | 106.70s | 78,458 | 6,956 | 60,306 | |
| GLM 5.1 | 2.8 | 1.8 | 33.3% | 2 | 46.88s | 99,907 | 12,768 | 0 |
| Data parsing and extraction | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 10.0 | 10.0 | 100.0% | 0 | 4.13s | 7,776 | 278 | 1,960 | |
| GLM 5.1 | 10.0 | 10.0 | 100.0% | 0 | 1.08s | 7,107 | 204 | 0 |
| Domain specific | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 2.9 | 4.4 | 22.2% | 2 | 44.66s | 780 | 33 | 43,896 | |
| GLM 5.1 | 5.3 | 7.2 | 44.4% | 1 | 2.27s | 697 | 24 | 0 |
| General Intelligence | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 5.1 | 10.0 | 0.0% | 0 | 3.27s | 516 | 139 | 647 | |
| GLM 5.1 | 5.0 | 10.0 | 0.0% | 0 | 790ms | 477 | 39 | 0 |
| Instructions following | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 9.9 | 10.0 | 100.0% | 0 | 2.67s | 699 | 84 | 976 | |
| GLM 5.1 | 9.8 | 10.0 | 100.0% | 0 | 1.98s | 636 | 66 | 0 |
| Puzzle Solving | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 8.2 | 7.2 | 88.9% | 1 | 3.38s | 696 | 428 | 1,936 | |
| GLM 5.1 | 7.7 | 10.0 | 66.7% | 0 | 1.45s | 609 | 151 | 0 |
| Tool Calling | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 10.0 | 10.0 | 100.0% | 0 | 28.04s | 8,391 | 268 | 896 | |
| GLM 5.1 | 10.0 | 10.0 | 100.0% | 0 | 10.68s | 6,789 | 300 | 0 |
| Trivia | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| KAT-Coder-Pro V2.5 | 3.0 | 10.0 | 0.0% | 0 | 5.22s | 204 | 16 | 1,494 | |
| GLM 5.1 | 3.0 | 10.0 | 0.0% | 0 | 2.34s | 186 | 11 | 0 |
Quick Compare
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