- Rank
- #121
- Total Output Tokens
- 432,850
- Response Time (avg)
- 124.87s
- Total Cost
- $1.448
Seed-2.0-Code (high) vs GPT-5.6 Luna (medium)
Seed-2.0-Code (high) leads on average score with 7.5 vs 7.4. GPT-5.6 Luna (medium) has the lower benchmark cost at $0.101 vs $1.448. GPT-5.6 Luna (medium) is faster at 9.64s vs 124.87s, with pass rates of 65.2% vs 62.3%.
Compared models
- Rank
- #122
- Total Output Tokens
- 47,986
- Response Time (avg)
- 9.64s
- Total Cost
- $0.101
Recommended model
GPT-5.6 Luna (medium)
Its score stays close to the best score here (7.4 vs 7.5), while costing about 14.5x less than Seed-2.0-Code (high).
Detailed comparison
| Metric | Seed-2.0-Code Seed-2.0-Code high | GPT-5.6 Luna GPT-5.6 Luna medium |
|---|---|---|
| Score | 7.5 | 7.4 |
| Rank | #121 | #122 |
| Reliability | 9.0 | 10.0 |
| Consistency | 7.9 | 9.0 |
| Attempts | 69/69 | 69/69 |
| Tests Correct | ||
| Attempt pass rate | 65.2% | 62.3% |
| Flaky tests | 5 | 3 |
| Total Runs | 69 | 69 |
| Cost per result | 12.061 | 2.822 |
| Total Cost | $1.448 | $0.101 |
| Input Price | $0.500 / 1M | $0.200 / 1M |
| Output Price | $3.000 / 1M | $1.200 / 1M |
| Total Input Tokens | 297,321 | 212,780 |
| Output Tokens | 8,997 | 6,849 |
| Reasoning Tokens | 423,853 | 41,137 |
| Response Time (avg) | 124.87s | 9.64s |
| Response Time (max) | 675.30s | 58.09s |
| Response Time (total) | 2871.96s | 221.62s |
| Parameters | ~200B total (~20B active) | ~400B total (~17B active) |
| Availability | Closed | Closed |
Model generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#121 Seed-2.0-Code
high- Cost
- $0.037
- Time
- 183.6s
- Tokens
- 12,388 tok
#122 GPT-5.6 Luna
medium- Cost
- $0.014
- Time
- 14.6s
- Tokens
- 2,362 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 |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 10.0 | 10.0 | 100.0% | 0 | 139.94s | 215,351 | 1,811 | 20,464 | |
| GPT-5.6 Luna | 7.4 | 3.8 | 66.7% | 1 | 58.09s | 123,095 | 1,148 | 2,313 |
| Anti-AI Tricks | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 8.3 | 10.0 | 75.0% | 0 | 35.07s | 906 | 1,204 | 17,533 | |
| GPT-5.6 Luna | 8.3 | 10.0 | 75.0% | 0 | 2.52s | 606 | 160 | 987 |
| Coding | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 6.2 | 6.5 | 55.6% | 1 | 266.74s | 6,750 | 432 | 124,956 | |
| GPT-5.6 Luna | 5.4 | 7.2 | 44.4% | 1 | 10.38s | 7,302 | 564 | 9,928 |
| Combined | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 7.3 | 5.8 | 83.3% | 1 | 144.87s | 57,003 | 4,295 | 26,889 | |
| GPT-5.6 Luna | 10.0 | 10.0 | 100.0% | 0 | 14.59s | 66,477 | 3,926 | 4,594 |
| Data parsing and extraction | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 10.0 | 10.0 | 100.0% | 0 | 24.28s | 8,034 | 246 | 4,782 | |
| GPT-5.6 Luna | 10.0 | 10.0 | 100.0% | 0 | 1.95s | 7,140 | 234 | 324 |
| Domain specific | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 3.5 | 4.4 | 33.3% | 2 | 419.73s | 828 | 10 | 212,349 | |
| GPT-5.6 Luna | 2.9 | 7.2 | 11.1% | 1 | 18.45s | 732 | 70 | 17,375 |
| General Intelligence | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 4.6 | 7.8 | 0.0% | 0 | 36.45s | 382 | 131 | 2,577 | |
| GPT-5.6 Luna | 5.1 | 10.0 | 0.0% | 0 | 4.34s | 477 | 112 | 496 |
| Instructions following | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 9.8 | 10.0 | 100.0% | 0 | 11.26s | 816 | 72 | 2,661 | |
| GPT-5.6 Luna | 9.9 | 10.0 | 100.0% | 0 | 2.38s | 660 | 95 | 393 |
| Puzzle Solving | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 7.8 | 9.3 | 66.7% | 0 | 15.91s | 786 | 585 | 4,473 | |
| GPT-5.6 Luna | 7.8 | 10.0 | 66.7% | 0 | 4.04s | 642 | 255 | 2,104 |
| Tool Calling | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 4.7 | 1.6 | 66.7% | 1 | 35.09s | 6,198 | 196 | 644 | |
| GPT-5.6 Luna | 10.0 | 10.0 | 100.0% | 0 | 6.02s | 5,454 | 256 | 244 |
| Trivia | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Seed-2.0-Code | 3.0 | 10.0 | 0.0% | 0 | 52.23s | 267 | 15 | 6,525 | |
| GPT-5.6 Luna | 3.0 | 10.0 | 0.0% | 0 | 6.64s | 195 | 29 | 2,379 |
Quick Compare
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