- Rank
- #111
- Total Output Tokens
- 101,587
- Response Time (avg)
- 20.37s
- Total Cost
- $0.074
GPT-6 Luna (high) vs Qwen3.7 Flash (low)
The average score is effectively tied at 7.7 vs 7.7. Qwen3.7 Flash (low) has the lower benchmark cost at $0.053 vs $0.074. GPT-6 Luna (high) is faster at 20.37s vs 41.03s, with pass rates of 73.9% vs 68.1%.
Compared models
- Rank
- #114
- Total Output Tokens
- 331,107
- Response Time (avg)
- 41.03s
- Total Cost
- $0.053
Recommended model
GPT-6 Luna (high)
It has the best score here (7.7), while responding about 2.0x faster than Qwen3.7 Flash (low).
Detailed comparison
| Metric | GPT-6 Luna GPT-6 Luna high | Qwen3.7 Flash Qwen3.7 Flash low |
|---|---|---|
| Score | 7.7 | 7.7 |
| Rank | #111 | #114 |
| Reliability | 10.0 | 10.0 |
| Consistency | 8.7 | 8.1 |
| Attempts | 69/69 | 69/69 |
| Tests Correct | ||
| Attempt pass rate | 73.9% | 68.1% |
| Flaky tests | 4 | 6 |
| Total Runs | 69 | 69 |
| Cost per result | 0.492 | 0.439 |
| Total Cost | $0.074 | $0.053 |
| Input Price | $0.100 / 1M | $0.030 / 1M |
| Output Price | $0.500 / 1M | $0.130 / 1M |
| Total Input Tokens | 229,986 | 318,058 |
| Output Tokens | 6,037 | 16,035 |
| Reasoning Tokens | 95,550 | 315,072 |
| Response Time (avg) | 20.37s | 41.03s |
| Response Time (max) | 106.93s | 394.54s |
| Response Time (total) | 468.52s | 943.75s |
| Parameters | ~400B total (~17B active) | ~35B total (~3B active) |
| Availability | Closed | Closed |
Model generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#111 GPT-6 Luna
high- Cost
- $0.003
- Time
- 49.2s
- Tokens
- 5,231 tok
#114 Qwen3.7 Flash
low
Reached the allocated time limit (600 seconds) without receiving showcase output.
- Cost
- $0.000
- Time
- 600.0s
- 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 |
|---|---|---|---|---|---|---|---|---|---|
| GPT-6 Luna | 5.2 | 3.2 | 33.3% | 1 | 82.78s | 149,545 | 1,276 | 8,906 | |
| Qwen3.7 Flash | 10.0 | 10.0 | 100.0% | 0 | 106.71s | 225,867 | 1,749 | 25,339 |
| Anti-AI Tricks | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| GPT-6 Luna | 10.0 | 10.0 | 100.0% | 0 | 2.64s | 606 | 159 | 1,358 | |
| Qwen3.7 Flash | 10.0 | 10.0 | 100.0% | 0 | 10.29s | 672 | 680 | 14,285 |
| Coding | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| GPT-6 Luna | 7.8 | 7.4 | 77.8% | 1 | 24.69s | 7,302 | 483 | 15,691 | |
| Qwen3.7 Flash | 6.7 | 7.8 | 55.6% | 1 | 42.36s | 7,893 | 428 | 56,419 |
| Combined | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| GPT-6 Luna | 10.0 | 10.0 | 100.0% | 0 | 21.53s | 57,233 | 3,111 | 6,658 | |
| Qwen3.7 Flash | 6.4 | 5.8 | 66.7% | 1 | 217.77s | 64,756 | 11,880 | 131,432 |
| Data parsing and extraction | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| GPT-6 Luna | 10.0 | 10.0 | 100.0% | 0 | 24.50s | 7,140 | 234 | 352 | |
| Qwen3.7 Flash | 10.0 | 10.0 | 100.0% | 0 | 15.44s | 7,782 | 270 | 12,503 |
| Domain specific | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| GPT-6 Luna | 5.9 | 7.2 | 55.6% | 1 | 51.14s | 732 | 70 | 55,170 | |
| Qwen3.7 Flash | 3.6 | 7.2 | 22.2% | 1 | 37.60s | 780 | 60 | 38,897 |
| General Intelligence | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| GPT-6 Luna | 5.1 | 10.0 | 0.0% | 0 | 17.40s | 477 | 96 | 373 | |
| Qwen3.7 Flash | 4.0 | 9.3 | 0.0% | 0 | 14.37s | 516 | 128 | 5,423 |
| Instructions following | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| GPT-6 Luna | 8.4 | 6.9 | 83.3% | 1 | 1.92s | 660 | 91 | 420 | |
| Qwen3.7 Flash | 8.5 | 6.8 | 83.3% | 1 | 9.88s | 699 | 99 | 8,147 |
| Puzzle Solving | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| GPT-6 Luna | 7.8 | 10.0 | 66.7% | 0 | 7.51s | 642 | 231 | 4,988 | |
| Qwen3.7 Flash | 7.3 | 5.2 | 77.8% | 2 | 9.79s | 696 | 382 | 10,763 |
| Tool Calling | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| GPT-6 Luna | 10.0 | 10.0 | 100.0% | 0 | 6.96s | 5,454 | 256 | 261 | |
| Qwen3.7 Flash | 10.0 | 10.0 | 100.0% | 0 | 7.66s | 8,193 | 335 | 2,172 |
| Trivia | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| GPT-6 Luna | 3.0 | 10.0 | 0.0% | 0 | 4.90s | 195 | 30 | 1,373 | |
| Qwen3.7 Flash | 3.0 | 10.0 | 0.0% | 0 | 18.42s | 204 | 24 | 9,692 |
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