- Rank
- #195
- Total Output Tokens
- 193,676
- Response Time (avg)
- 7.62s
- Total Cost
- $0.044
Mercury 2.5 (high) vs KAT-Coder-Pro V2.5 (low)
KAT-Coder-Pro V2.5 (low) leads on average score with 6.5 vs 6.5. Mercury 2.5 (high) has the lower benchmark cost at $0.044 vs $0.400. Mercury 2.5 (high) is faster at 7.62s vs 19.40s, with pass rates of 59.4% vs 65.2%.
Compared models
- Rank
- #191
- Total Output Tokens
- 113,193
- Response Time (avg)
- 19.40s
- Total Cost
- $0.400
Recommended model
Mercury 2.5 (high)
Its score stays close to the best score here (6.5 vs 6.5), while costing about 9.2x less than KAT-Coder-Pro V2.5 (low).
Detailed comparison
| Metric | Mercury 2.5 Mercury 2.5 high | KAT-Coder-Pro V2.5 KAT-Coder-Pro V2.5 low |
|---|---|---|
| Score | 6.5 | 6.5 |
| Rank | #195 | #191 |
| Reliability | 9.8 | 10.0 |
| Consistency | 8.7 | 7.1 |
| Attempts | 69/69 | 69/69 |
| Tests Correct | ||
| Attempt pass rate | 59.4% | 65.2% |
| Flaky tests | 4 | 8 |
| Total Runs | 69 | 69 |
| Cost per result | 0.362 | 3.636 |
| Total Cost | $0.044 | $0.400 |
| Input Price | $0.040 / 1M | $0.740 / 1M |
| Output Price | $0.150 / 1M | $2.960 / 1M |
| Total Input Tokens | 358,562 | 87,682 |
| Output Tokens | 4,266 | 7,166 |
| Reasoning Tokens | 189,410 | 106,027 |
| Response Time (avg) | 7.62s | 19.40s |
| Response Time (max) | 80.30s | 209.15s |
| Response Time (total) | 175.36s | 446.11s |
| Parameters | ~100B | ~700B total (~72B active) |
| Availability | Closed | Closed |
Model generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#195 Mercury 2.5
high- Cost
- $0.001
- Time
- 3.5s
- Tokens
- 2,447 tok
#191 KAT-Coder-Pro V2.5
low- Cost
- $0.016
- Time
- 47.6s
- Tokens
- 5,182 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 3.9 | 9.6 | 0.0% | 0 | 80.30s | 238,494 | 864 | 18,265 | |
| KAT-Coder-Pro V2.5 | 3.0 | 10.0 | 0.0% | 0 | 1.75s | 0 | 0 | 0 |
| Anti-AI Tricks | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 10.0 | 10.0 | 100.0% | 0 | 1.33s | 782 | 218 | 7,913 | |
| KAT-Coder-Pro V2.5 | 6.9 | 5.8 | 75.0% | 2 | 4.20s | 672 | 277 | 4,228 |
| Coding | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 6.4 | 7.8 | 44.4% | 1 | 6.58s | 7,757 | 415 | 44,012 | |
| KAT-Coder-Pro V2.5 | 7.8 | 10.0 | 66.7% | 0 | 24.87s | 7,893 | 402 | 24,945 |
| Combined | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 6.4 | 5.8 | 66.7% | 1 | 16.00s | 91,255 | 1,478 | 62,200 | |
| KAT-Coder-Pro V2.5 | 6.4 | 5.8 | 66.7% | 1 | 111.87s | 60,055 | 5,393 | 43,732 |
| Data parsing and extraction | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 10.0 | 10.0 | 100.0% | 0 | 3.08s | 8,355 | 557 | 9,430 | |
| KAT-Coder-Pro V2.5 | 10.0 | 10.0 | 100.0% | 0 | 4.19s | 7,776 | 288 | 1,917 |
| Domain specific | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 2.9 | 7.2 | 11.1% | 1 | 4.86s | 857 | 78 | 22,452 | |
| KAT-Coder-Pro V2.5 | 3.5 | 4.4 | 33.3% | 2 | 22.86s | 780 | 35 | 21,430 |
| General Intelligence | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 5.0 | 10.0 | 0.0% | 0 | 2.69s | 528 | 93 | 3,609 | |
| KAT-Coder-Pro V2.5 | 4.1 | 2.7 | 33.3% | 1 | 2.32s | 516 | 99 | 412 |
| Instructions following | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 6.5 | 10.0 | 50.0% | 0 | 934ms | 401 | 27 | 1,770 | |
| KAT-Coder-Pro V2.5 | 10.0 | 10.0 | 100.0% | 0 | 2.53s | 699 | 83 | 1,008 |
| Puzzle Solving | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 8.7 | 7.7 | 88.9% | 1 | 1.39s | 771 | 227 | 5,812 | |
| KAT-Coder-Pro V2.5 | 6.4 | 4.4 | 77.8% | 2 | 3.11s | 696 | 289 | 1,820 |
| Tool Calling | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 10.0 | 10.0 | 100.0% | 0 | 3.06s | 9,130 | 283 | 4,484 | |
| KAT-Coder-Pro V2.5 | 10.0 | 10.0 | 100.0% | 0 | 18.45s | 8,391 | 282 | 834 |
| Trivia | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 | 3.0 | 10.0 | 0.0% | 0 | 5.48s | 232 | 26 | 9,463 | |
| KAT-Coder-Pro V2.5 | 3.0 | 10.0 | 0.0% | 0 | 17.06s | 204 | 18 | 5,701 |
Quick Compare
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