- Rank
- #171
- Total Output Tokens
- 150,107
- Response Time (avg)
- 6.66s
- Total Cost
- $0.037
Mercury 2.5 Preview (medium) vs GPT-5.6 Luna (low)
The average score is effectively tied at 6.8 vs 6.9. Mercury 2.5 Preview (medium) has the lower benchmark cost at $0.037 vs $0.075. Mercury 2.5 Preview (medium) is faster at 6.66s vs 6.96s, with pass rates of 66.7% vs 56.5%.
Compared models
- Rank
- #165
- Total Output Tokens
- 28,001
- Response Time (avg)
- 6.96s
- Total Cost
- $0.075
Recommended model
Mercury 2.5 Preview (medium)
It has the best score here (6.8), while costing about 2.0x less than GPT-5.6 Luna (low).
Detailed comparison
| Metric | Mercury 2.5 Preview Mercury 2.5 Preview medium | GPT-5.6 Luna GPT-5.6 Luna low |
|---|---|---|
| Score | 6.8 | 6.9 |
| Rank | #171 | #165 |
| Reliability | 10.0 | 10.0 |
| Consistency | 9.6 | 8.3 |
| Attempts | 69/69 | 69/69 |
| Tests Correct | ||
| Attempt pass rate | 66.7% | 56.5% |
| Flaky tests | 1 | 5 |
| Total Runs | 69 | 69 |
| Cost per result | 0.244 | 2.428 |
| Total Cost | $0.037 | $0.075 |
| Input Price | $0.000 / 1M | $0.200 / 1M |
| Output Price | $0.000 / 1M | $1.200 / 1M |
| Total Input Tokens | 397,291 | 202,680 |
| Output Tokens | 6,355 | 9,230 |
| Reasoning Tokens | 143,752 | 18,771 |
| Response Time (avg) | 6.66s | 6.96s |
| Response Time (max) | 74.63s | 45.74s |
| Response Time (total) | 153.29s | 160.19s |
| Parameters | ~100B | ~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.
#171 Mercury 2.5 Preview
medium- Cost
- $0.001
- Time
- 2.7s
- Tokens
- 2,241 tok
#165 GPT-5.6 Luna
low- Cost
- $0.011
- Time
- 10.2s
- Tokens
- 1,897 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 Preview | 3.9 | 9.6 | 0.0% | 0 | 74.63s | 284,578 | 919 | 22,154 | |
| GPT-5.6 Luna | 10.0 | 10.0 | 100.0% | 0 | 45.74s | 106,325 | 1,017 | 698 |
| Anti-AI Tricks | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 10.0 | 10.0 | 100.0% | 0 | 1.43s | 781 | 203 | 7,921 | |
| GPT-5.6 Luna | 8.3 | 10.0 | 75.0% | 0 | 2.21s | 606 | 186 | 722 |
| Coding | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 7.8 | 10.0 | 66.7% | 0 | 3.86s | 7,839 | 552 | 22,126 | |
| GPT-5.6 Luna | 5.5 | 10.0 | 33.3% | 0 | 4.61s | 7,302 | 557 | 3,535 |
| Combined | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 6.5 | 10.0 | 50.0% | 0 | 13.86s | 92,663 | 3,607 | 41,588 | |
| GPT-5.6 Luna | 2.8 | 1.6 | 33.3% | 2 | 13.71s | 73,147 | 6,401 | 2,716 |
| 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 Preview | 10.0 | 10.0 | 100.0% | 0 | 2.77s | 8,292 | 514 | 11,354 | |
| GPT-5.6 Luna | 10.0 | 10.0 | 100.0% | 0 | 2.14s | 7,140 | 234 | 292 |
| Domain specific | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 5.3 | 7.2 | 44.4% | 1 | 3.72s | 853 | 62 | 17,120 | |
| GPT-5.6 Luna | 2.9 | 7.2 | 11.1% | 1 | 11.24s | 732 | 72 | 7,564 |
| General Intelligence | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 5.0 | 10.0 | 0.0% | 0 | 2.09s | 538 | 99 | 3,375 | |
| GPT-5.6 Luna | 5.0 | 10.0 | 0.0% | 0 | 2.25s | 477 | 122 | 169 |
| Instructions following | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 9.8 | 10.0 | 100.0% | 0 | 1.35s | 744 | 96 | 3,987 | |
| GPT-5.6 Luna | 8.5 | 6.8 | 83.3% | 1 | 2.04s | 660 | 93 | 259 |
| Puzzle Solving | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 10.0 | 10.0 | 100.0% | 0 | 1.87s | 771 | 274 | 7,323 | |
| GPT-5.6 Luna | 7.6 | 7.2 | 77.8% | 1 | 3.59s | 642 | 271 | 1,207 |
| Tool Calling | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 3.0 | 10.0 | 0.0% | 0 | 2.37s | 0 | 0 | 0 | |
| GPT-5.6 Luna | 10.0 | 10.0 | 100.0% | 0 | 4.43s | 5,454 | 250 | 177 |
| Trivia | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 3.0 | 10.0 | 0.0% | 0 | 4.13s | 232 | 29 | 6,804 | |
| GPT-5.6 Luna | 3.0 | 10.0 | 0.0% | 0 | 4.86s | 195 | 27 | 1,432 |
Quick Compare
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