- Rank
- #271
- Total Output Tokens
- 14,903
- Response Time (avg)
- 10.71s
- Total Cost
- $0.002
Ling-2.6-flash vs Nemotron 3 Super
The average score is effectively tied at 4.9 vs 4.8. Ling-2.6-flash has the lower benchmark cost at $0.002 vs $0.008. Nemotron 3 Super is faster at 6.04s vs 10.71s, with pass rates of 30.3% vs 27.3%.
- Rank
- #272
- Total Output Tokens
- 6,432
- Response Time (avg)
- 6.04s
- Total Cost
- $0.008
Recommended model
Ling-2.6-flash
It has the best score here (4.9), while costing about 5.0x less than Nemotron 3 Super.
Detailed comparison
| Metric | Ling-2.6-flash Ling-2.6-flash none | Nemotron 3 Super Nemotron 3 Super none Free Available |
|---|---|---|
| Score | 4.9 | 4.8 |
| Rank | #271 | #272 |
| Reliability | 9.6 | 9.2 |
| Consistency | 9.3 | 9.2 |
| Attempts | 66/66 | 66/66 |
| Tests Correct | ||
| Attempt pass rate | 30.3% | 27.3% |
| Flaky tests | 2 | 2 |
| Total Runs | 66 | 66 |
| Cost per result | 0.024 | 0.034 |
| Total Cost | $0.002 | $0.008 |
| Input Price | $0.010 / 1M | $0.085 / 1M |
| Output Price | $0.030 / 1M | $0.400 / 1M |
| Total Input Tokens | 114,384 | 63,528 |
| Output Tokens | 14,903 | 6,432 |
| Reasoning Tokens | 0 | 0 |
| Response Time (avg) | 10.71s | 6.04s |
| Response Time (max) | 36.03s | 20.00s |
| Response Time (total) | 214.28s | 132.96s |
| Parameters | 104B total (7.4B active) | 120B total (12B active) |
| Availability | Open source | Weights available |
Model generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#271 Ling-2.6-flash
none
Ling-2.6-flash is no longer available as a free model. It has transitioned to a paid model. Continue using it here: https://openrouter.ai/inclusionai/ling-2.6-flash
- Cost
- $0.000
- Time
- 0.0s
- Tokens
- 0 tok
#272 Nemotron 3 Super
none- Cost
- $0.000
- Time
- 137.8s
- Tokens
- 2,447 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
| Anti-AI Tricks | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling-2.6-flash | 6.8 | 8.1 | 58.3% | 1 | 11.81s | 726 | 573 | 0 | |
| Nemotron 3 Super | 4.8 | 10.0 | 25.0% | 0 | 4.46s | 671 | 2,322 | 0 |
| Coding | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling-2.6-flash | 5.3 | 10.0 | 33.3% | 0 | 11.21s | 813 | 381 | 0 | |
| Nemotron 3 Super | 3.3 | 7.2 | 11.1% | 1 | 2.64s | 7,627 | 571 | 0 |
| Combined | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 35.69s | 94,475 | 13,094 | 0 | |
| Nemotron 3 Super | 3.0 | 10.0 | 0.0% | 0 | 18.22s | 35,803 | 856 | 0 |
| Data parsing and extraction | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling-2.6-flash | 6.5 | 10.0 | 50.0% | 0 | 8.48s | 8,004 | 246 | 0 | |
| Nemotron 3 Super | 10.0 | 10.0 | 100.0% | 0 | 7.92s | 7,944 | 249 | 0 |
| Domain specific | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 5.20s | 819 | 24 | 0 | |
| Nemotron 3 Super | 3.0 | 10.0 | 0.0% | 0 | 6.78s | 798 | 24 | 0 |
| General Intelligence | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling-2.6-flash | 4.0 | 10.0 | 0.0% | 0 | 1.45s | 540 | 109 | 0 | |
| Nemotron 3 Super | 4.6 | 10.0 | 0.0% | 0 | 950ms | 500 | 134 | 0 |
| Instructions following | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling-2.6-flash | 9.8 | 10.0 | 100.0% | 0 | 5.52s | 732 | 81 | 0 | |
| Nemotron 3 Super | 6.3 | 10.0 | 50.0% | 0 | 804ms | 723 | 66 | 0 |
| Puzzle Solving | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling-2.6-flash | 2.9 | 7.2 | 11.1% | 1 | 6.51s | 729 | 151 | 0 | |
| Nemotron 3 Super | 5.5 | 10.0 | 33.3% | 0 | 2.36s | 714 | 1,125 | 0 |
| Tool Calling | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 18.80s | 7,324 | 229 | 0 | |
| Nemotron 3 Super | 4.7 | 1.6 | 66.7% | 1 | 16.00s | 8,541 | 281 | 0 |
| Trivia | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 1.06s | 222 | 15 | 0 | |
| Nemotron 3 Super | 3.0 | 10.0 | 0.0% | 0 | 8.94s | 207 | 804 | 0 |
Quick Compare
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