- Rank
- #251
- Total Output Tokens
- 299,456
- Response Time (avg)
- 13.08s
- Total Cost
- $0.000
Ling 3.0 Flash (high) vs GPT-5 Nano (medium)
The average score is effectively tied at 5.8 vs 5.7. Ling 3.0 Flash (high) has the lower benchmark cost at $0.000 vs $0.139. Ling 3.0 Flash (high) is faster at 13.08s vs 56.55s, with pass rates of 60.9% vs 53.6%.
Compared models
- Rank
- #254
- Total Output Tokens
- 307,921
- Response Time (avg)
- 56.55s
- Total Cost
- $0.139
Recommended model
Ling 3.0 Flash (high)
It has the best score here (5.8), while responding about 4.3x faster than GPT-5 Nano (medium).
Detailed comparison
| Metric | Ling 3.0 Flash Ling 3.0 Flash high | GPT-5 Nano GPT-5 Nano medium |
|---|---|---|
| Score | 5.8 | 5.7 |
| Rank | #251 | #254 |
| Reliability | 9.8 | 10.0 |
| Consistency | 8.6 | 6.5 |
| Attempts | 69/69 | 69/69 |
| Tests Correct | ||
| Attempt pass rate | 60.9% | 53.6% |
| Flaky tests | 4 | 10 |
| Total Runs | 69 | 69 |
| Cost per result | 0.000 | 1.737 |
| Total Cost | $0.000 | $0.139 |
| Input Price | $0.021 / 1M | $0.050 / 1M |
| Output Price | $0.063 / 1M | $0.400 / 1M |
| Total Input Tokens | 132,044 | 314,436 |
| Output Tokens | 92,135 | 13,578 |
| Reasoning Tokens | 207,321 | 294,343 |
| Response Time (avg) | 13.08s | 56.55s |
| Response Time (max) | 75.27s | 227.89s |
| Response Time (total) | 287.79s | 961.32s |
| Parameters | 124B total (5.1B active) | ~120B total (~5B active) |
| Availability | Open source | Closed |
Model generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#251 Ling 3.0 Flash
high- Cost
- $0.000
- Time
- 30.7s
- Tokens
- 10,576 tok
#254 GPT-5 Nano
medium- Cost
- $0.006
- Time
- 108.5s
- Tokens
- 13,209 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 |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 3.0 | 10.0 | 0.0% | 0 | 42ms | 0 | 0 | 0 | |
| GPT-5 Nano | 4.7 | 3.1 | 33.3% | 1 | 94.09s | 219,492 | 1,541 | 23,943 |
| Anti-AI Tricks | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 10.0 | 10.0 | 100.0% | 0 | 4.26s | 750 | 1,127 | 3,129 | |
| GPT-5 Nano | 6.5 | 7.9 | 58.3% | 1 | 25.50s | 606 | 1,221 | 21,184 |
| Coding | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 6.7 | 5.0 | 66.7% | 2 | 14.85s | 8,298 | 15,602 | 32,152 | |
| GPT-5 Nano | 7.0 | 7.7 | 55.6% | 1 | 41.62s | 7,305 | 740 | 41,152 |
| Combined | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 2.9 | 6.0 | 16.7% | 1 | 50.41s | 103,841 | 28,377 | 80,872 | |
| GPT-5 Nano | 6.4 | 5.8 | 66.7% | 1 | 146.93s | 71,846 | 7,156 | 86,976 |
| Data parsing and extraction | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 7.3 | 5.8 | 83.3% | 1 | 7.15s | 8,016 | 3,455 | 9,048 | |
| GPT-5 Nano | 3.7 | 1.7 | 50.0% | 2 | 21.42s | 7,140 | 453 | 10,560 |
| Domain specific | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 3.0 | 10.0 | 0.0% | 0 | 30.29s | 648 | 37,633 | 61,104 | |
| GPT-5 Nano | 3.4 | 1.6 | 44.4% | 3 | 124.13s | 628 | 232 | 73,792 |
| General Intelligence | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 5.0 | 10.0 | 0.0% | 0 | 2.98s | 546 | 63 | 344 | |
| GPT-5 Nano | 4.1 | 10.0 | 0.0% | 0 | 17.51s | 477 | 202 | 4,608 |
| Instructions following | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 10.0 | 10.0 | 100.0% | 0 | 1.85s | 744 | 402 | 2,031 | |
| GPT-5 Nano | 9.8 | 10.0 | 100.0% | 0 | 15.64s | 660 | 312 | 4,736 |
| Puzzle Solving | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 10.0 | 10.0 | 100.0% | 0 | 4.33s | 747 | 753 | 4,623 | |
| GPT-5 Nano | 5.3 | 7.2 | 44.4% | 1 | 20.63s | 642 | 929 | 14,272 |
| Tool Calling | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 10.0 | 10.0 | 100.0% | 0 | 6.47s | 8,226 | 322 | 527 | |
| GPT-5 Nano | 10.0 | 10.0 | 100.0% | 0 | 33.30s | 5,445 | 558 | 6,976 |
| Trivia | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 3.0 Flash | 3.0 | 10.0 | 0.0% | 0 | 24.35s | 228 | 4,401 | 13,491 | |
| GPT-5 Nano | 3.0 | 10.0 | 0.0% | 0 | 20.13s | 195 | 234 | 6,144 |
Quick Compare
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