- Rank
- #126
- Total Output Tokens
- 590,306
- Response Time (avg)
- 263.69s
- Total Cost
- $1.391
Mistral Large 4 (high) vs GPT-5.6 Luna (medium)
Mistral Large 4 (high) leads on average score with 7.5 vs 7.4. GPT-5.6 Luna (medium) has the lower benchmark cost at $0.065 vs $1.391. GPT-5.6 Luna (medium) is faster at 9.64s vs 263.69s, with pass rates of 65.2% vs 62.3%.
Compared models
- Rank
- #128
- Total Output Tokens
- 47,986
- Response Time (avg)
- 9.64s
- Total Cost
- $0.065
Recommended model
GPT-5.6 Luna (medium)
Its score stays close to the best score here (7.4 vs 7.5), while costing about 21.6x less than Mistral Large 4 (high).
Detailed comparison
| Metric | Mistral Large 4 Mistral Large 4 high | GPT-5.6 Luna GPT-5.6 Luna medium |
|---|---|---|
| Score | 7.5 | 7.4 |
| Rank | #126 | #128 |
| 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 | 6 | 3 |
| Total Runs | 69 | 69 |
| Cost per result | 11.590 | 2.822 |
| Total Cost | $1.391 | $0.065 |
| Input Price | $0.680 / 1M | $0.200 / 1M |
| Output Price | $2.090 / 1M | $1.200 / 1M |
| Cache Read Price | $0.070 / 1M | $0.020 / 1M |
| Cache Write Price | N/A | $0.250 / 1M |
| Total Input Tokens | 230,895 | 212,780 |
| Output Tokens | 161,281 | 6,849 |
| Reasoning Tokens | 510,655 | 41,137 |
| Response Time (avg) | 263.69s | 9.64s |
| Response Time (max) | 1727.29s | 58.09s |
| Response Time (total) | 6064.89s | 221.62s |
| Parameters | 1.05T total (49B active) | ~400B total (~17B active) |
| Availability | Closed | Closed |
Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.
Model generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#126 Mistral Large 4
high- Cost
- $0.007
- Time
- 53.3s
- Tokens
- 3,333 tok
#128 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 85.76s | 146,529 | 4,449 | 3,575 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 8.3 | 10.0 | 75.0% | 0 | 14.97s | 705 | 1,099 | 7,391 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 3.3 | 4.4 | 33.3% | 2 | 1277.83s | 6,541 | 53,820 | 279,694 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 391.89s | 60,590 | 7,002 | 56,326 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 34.99s | 7,314 | 1,144 | 10,190 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 3.5 | 4.4 | 33.3% | 2 | 289.43s | 798 | 57,077 | 112,091 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 41.23s | 516 | 6,145 | 6,502 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 8.4 | 6.9 | 83.3% | 1 | 21.99s | 708 | 5,465 | 6,653 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 5.4 | 7.1 | 44.4% | 1 | 55.18s | 717 | 14,728 | 16,884 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 10.0 | 10.0 | 100.0% | 0 | 24.21s | 6,267 | 305 | 994 | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| Mistral Large 4 | 3.0 | 10.0 | 0.0% | 0 | 88.77s | 210 | 10,047 | 10,355 | |
| GPT-5.6 Luna | 3.0 | 10.0 | 0.0% | 0 | 6.64s | 195 | 29 | 2,379 |
Quick Compare
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