- Rank
- #36
- Total Output Tokens
- 523,482
- Response Time (avg)
- 32.55s
- Total Cost
- $0.355
DeepSeek V4.1 Flash 1017 (low) vs Muse Wonder (low)
DeepSeek V4.1 Flash 1017 (low) leads on average score with 9.2 vs 9.1. DeepSeek V4.1 Flash 1017 (low) has the lower benchmark cost at $0.355 vs $2.637. Muse Wonder (low) is faster at 16.00s vs 32.55s, with pass rates of 78.3% vs 76.8%.
Compared models
- Rank
- #41
- Total Output Tokens
- 82,847
- Response Time (avg)
- 16.00s
- Total Cost
- $2.637
Recommended model
DeepSeek V4.1 Flash 1017 (low)
It has the best score here (9.2), while costing about 7.4x less than Muse Wonder (low).
Detailed comparison
| Metric | DeepSeek V4.1 Flash 1017 DeepSeek V4.1 Flash 1017 low | Muse Wonder Muse Wonder low |
|---|---|---|
| Score | 9.2 | 9.1 |
| Rank | #36 | #41 |
| Reliability | 10.0 | 9.7 |
| Consistency | 9.0 | 9.6 |
| Attempts | 69/69 | 69/69 |
| Tests Correct | ||
| Attempt pass rate | 78.3% | 76.8% |
| Flaky tests | 3 | 1 |
| Total Runs | 69 | 69 |
| Cost per result | 2.214 | 15.512 |
| Total Cost | $0.355 | $2.637 |
| Input Price | $0.150 / 1M | $4.000 / 1M |
| Output Price | $0.600 / 1M | $20.000 / 1M |
| Cache Read Price | $0.003 / 1M | $0.200 / 1M |
| Cache Write Price | N/A | N/A |
| Total Input Tokens | 267,122 | 244,997 |
| Output Tokens | 7,369 | 11,148 |
| Reasoning Tokens | 516,113 | 71,699 |
| Response Time (avg) | 32.55s | 16.00s |
| Response Time (max) | 443.63s | 83.98s |
| Response Time (total) | 748.62s | 367.91s |
| Parameters | ~748B total (~16B active) | ~1T total (~50B active) |
| Availability | Open source | 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.
#36 DeepSeek V4.1 Flash 1017
low- Cost
- $0.006
- Time
- 63.8s
- Tokens
- 11,236 tok
#41 Muse Wonder
low- Cost
- $0.080
- Time
- 28.1s
- Tokens
- 4,067 tok
Category Breakdown
| Agentic | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 46.67s | 156,869 | 2,102 | 5,290 | |
| Muse Wonder | 10.0 | 10.0 | 100.0% | 0 | 44.57s | 149,681 | 2,520 | 1,668 |
| Anti-AI Tricks | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 8.3 | 10.0 | 75.0% | 0 | 2.02s | 852 | 171 | 2,193 | |
| Muse Wonder | 10.0 | 10.0 | 100.0% | 0 | 4.37s | 786 | 344 | 3,587 |
| Coding | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 27.01s | 7,509 | 323 | 45,628 | |
| Muse Wonder | 10.0 | 10.0 | 100.0% | 0 | 17.81s | 7,401 | 1,050 | 15,813 |
| Combined | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 18.73s | 82,444 | 3,880 | 15,379 | |
| Muse Wonder | 10.0 | 10.0 | 100.0% | 0 | 24.68s | 66,803 | 4,907 | 10,127 |
| Data parsing and extraction | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 1.71s | 7,446 | 207 | 1,344 | |
| Muse Wonder | 10.0 | 10.0 | 100.0% | 0 | 4.27s | 7,053 | 315 | 2,367 |
| Domain specific | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 3.6 | 7.2 | 22.2% | 1 | 174.63s | 909 | 9 | 428,331 | |
| Muse Wonder | 5.3 | 10.0 | 33.3% | 0 | 51.40s | 761 | 1,060 | 30,749 |
| General Intelligence | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 2.25s | 549 | 116 | 553 | |
| Muse Wonder | 10.0 | 10.0 | 100.0% | 0 | 3.94s | 519 | 151 | 691 |
| Instructions following | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 1.25s | 783 | 69 | 898 | |
| Muse Wonder | 6.5 | 10.0 | 50.0% | 0 | 2.08s | 408 | 60 | 849 |
| Puzzle Solving | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 6.9 | 4.9 | 77.8% | 2 | 2.54s | 828 | 236 | 3,620 | |
| Muse Wonder | 5.9 | 7.2 | 55.6% | 1 | 5.08s | 459 | 261 | 2,402 |
| Tool Calling | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 10.0 | 10.0 | 100.0% | 0 | 1.92s | 8,672 | 237 | 338 | |
| Muse Wonder | 9.8 | 10.0 | 100.0% | 0 | 8.75s | 10,901 | 359 | 1,862 |
| Trivia | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | 3.0 | 10.0 | 0.0% | 0 | 33.79s | 261 | 19 | 12,539 | |
| Muse Wonder | 3.0 | 10.0 | 0.0% | 0 | 8.23s | 225 | 121 | 1,584 |
Quick Compare
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