- Rank
- #223
- Total Output Tokens
- 115,591
- Response Time (avg)
- 38.64s
- Total Cost
- $0.050
DeepSeek V4 Flash 0423 vs KAT-Coder-Pro V2.5 (medium)
The average score is effectively tied at 6.3 vs 6.2. DeepSeek V4 Flash 0423 has the lower benchmark cost at $0.050 vs $0.478. KAT-Coder-Pro V2.5 (medium) is faster at 23.94s vs 38.64s, with pass rates of 30.4% vs 62.3%.
Compared models
- Rank
- #227
- Total Output Tokens
- 139,375
- Response Time (avg)
- 23.94s
- Total Cost
- $0.478
Recommended model
KAT-Coder-Pro V2.5 (medium)
It has the best score here (6.2), while responding about 1.6x faster than DeepSeek V4 Flash 0423.
Detailed comparison
| Metric | DeepSeek V4 Flash 0423 DeepSeek V4 Flash 0423 none | KAT-Coder-Pro V2.5 KAT-Coder-Pro V2.5 medium |
|---|---|---|
| Score | 6.3 | 6.2 |
| Rank | #223 | #227 |
| Reliability | 10.0 | 10.0 |
| Consistency | 8.6 | 7.2 |
| Attempts | 69/69 | 69/69 |
| Tests Correct | ||
| Attempt pass rate | 30.4% | 62.3% |
| Flaky tests | 4 | 8 |
| Total Runs | 69 | 69 |
| Cost per result | 1.220 | 4.342 |
| Total Cost | $0.050 | $0.478 |
| Input Price | $0.079 / 1M | $0.740 / 1M |
| Output Price | $0.158 / 1M | $2.960 / 1M |
| Total Input Tokens | 403,455 | 87,916 |
| Output Tokens | 115,591 | 7,213 |
| Reasoning Tokens | 0 | 132,162 |
| Response Time (avg) | 38.64s | 23.94s |
| Response Time (max) | 247.27s | 257.00s |
| Response Time (total) | 888.69s | 550.52s |
| Parameters | 284B total (13B active) | ~700B total (~72B active) |
| Availability | Open source | Closed |
Model generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#223 DeepSeek V4 Flash 0423
none- Cost
- $0.004
- Time
- 157.6s
- Tokens
- 11,297 tok
#227 KAT-Coder-Pro V2.5
medium- Cost
- $0.009
- Time
- 25.6s
- Tokens
- 2,939 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 |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash 0423 | 10.0 | 10.0 | 100.0% | 0 | 92.87s | 163,225 | 14,865 | 0 | |
| KAT-Coder-Pro V2.5 | 3.0 | 10.0 | 0.0% | 0 | 3.38s | 0 | 0 | 0 |
| Anti-AI Tricks | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash 0423 | 3.0 | 10.0 | 0.0% | 0 | 20.18s | 540 | 174 | 0 | |
| KAT-Coder-Pro V2.5 | 8.2 | 7.9 | 83.3% | 1 | 3.90s | 672 | 208 | 3,868 |
| Coding | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash 0423 | 4.2 | 7.4 | 11.1% | 1 | 17.13s | 7,279 | 9,717 | 0 | |
| KAT-Coder-Pro V2.5 | 7.8 | 10.0 | 66.7% | 0 | 33.10s | 7,893 | 416 | 33,658 |
| Combined | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash 0423 | 4.6 | 1.8 | 66.7% | 2 | 179.61s | 214,492 | 89,681 | 0 | |
| KAT-Coder-Pro V2.5 | 6.4 | 5.8 | 66.7% | 1 | 135.75s | 60,289 | 5,478 | 51,591 |
| Data parsing and extraction | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash 0423 | 10.0 | 10.0 | 100.0% | 0 | 23.79s | 7,290 | 195 | 0 | |
| KAT-Coder-Pro V2.5 | 7.3 | 5.9 | 83.3% | 1 | 4.70s | 7,776 | 275 | 2,122 |
| Domain specific | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash 0423 | 3.0 | 10.0 | 0.0% | 0 | 15.31s | 675 | 17 | 0 | |
| KAT-Coder-Pro V2.5 | 2.9 | 4.4 | 22.2% | 2 | 35.11s | 780 | 36 | 33,495 |
| General Intelligence | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash 0423 | 4.2 | 9.9 | 0.0% | 0 | 23.74s | 471 | 67 | 0 | |
| KAT-Coder-Pro V2.5 | 4.7 | 3.1 | 33.3% | 1 | 2.35s | 516 | 92 | 381 |
| Instructions following | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash 0423 | 6.5 | 10.0 | 50.0% | 0 | 17.54s | 627 | 321 | 0 | |
| KAT-Coder-Pro V2.5 | 9.9 | 10.0 | 100.0% | 0 | 2.58s | 699 | 83 | 971 |
| Puzzle Solving | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash 0423 | 3.1 | 7.3 | 11.1% | 1 | 23.72s | 594 | 207 | 0 | |
| KAT-Coder-Pro V2.5 | 5.9 | 4.5 | 66.7% | 2 | 3.20s | 696 | 325 | 1,867 |
| Tool Calling | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash 0423 | 10.0 | 10.0 | 100.0% | 0 | 77.93s | 8,079 | 327 | 0 | |
| KAT-Coder-Pro V2.5 | 10.0 | 10.0 | 100.0% | 0 | 19.02s | 8,391 | 282 | 1,010 |
| Trivia | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash 0423 | 3.0 | 10.0 | 0.0% | 0 | 3.07s | 183 | 20 | 0 | |
| KAT-Coder-Pro V2.5 | 3.0 | 10.0 | 0.0% | 0 | 9.87s | 204 | 18 | 3,199 |
Quick Compare
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