- Rank
- #311
- Total Output Tokens
- 11,555
- Response Time (avg)
- 8.16s
- Total Cost
- $0.016
Ling 2.6 1t vs Qwen3 Coder Next
The average score is effectively tied at 4.9 vs 4.9. Ling 2.6 1t has the lower benchmark cost at $0.016 vs $0.067. Ling 2.6 1t is faster at 8.16s vs 19.73s, with pass rates of 17.4% vs 24.6%.
Compared models
- Rank
- #308
- Total Output Tokens
- 45,168
- Response Time (avg)
- 19.73s
- Total Cost
- $0.067
Recommended model
Ling 2.6 1t
It has the best score here (4.9), while costing about 4.4x less than Qwen3 Coder Next.
Detailed comparison
| Metric | Ling 2.6 1t Ling 2.6 1t none | Qwen3 Coder Next Qwen3 Coder Next none |
|---|---|---|
| Score | 4.9 | 4.9 |
| Rank | #311 | #308 |
| Reliability | 10.0 | 10.0 |
| Consistency | 10.0 | 9.7 |
| Attempts | 69/69 | 69/69 |
| Tests Correct | ||
| Attempt pass rate | 17.4% | 24.6% |
| Flaky tests | 0 | 1 |
| Total Runs | 69 | 69 |
| Cost per result | 0.278 | 1.300 |
| Total Cost | $0.016 | $0.067 |
| Input Price | $0.075 / 1M | $0.120 / 1M |
| Output Price | $0.625 / 1M | $0.800 / 1M |
| Cache Read Price | N/A | $0.070 / 1M |
| Cache Write Price | N/A | N/A |
| Total Input Tokens | 106,423 | 250,329 |
| Output Tokens | 11,555 | 45,168 |
| Reasoning Tokens | 0 | 0 |
| Response Time (avg) | 8.16s | 19.73s |
| Response Time (max) | 25.72s | 208.38s |
| Response Time (total) | 163.24s | 355.09s |
| Parameters | 1T total (63B active) | 80B total (3B active) |
| Availability | Open source | Open source |
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.
#311 Ling 2.6 1t
none
Ling-2.6-1T is no longer available as a free model. It has transitioned to a paid model. Continue using it here: https://openrouter.ai/inclusionai/ling-2.6-1t
- Cost
- $0.000
- Time
- 0.1s
- Tokens
- 0 tok
#308 Qwen3 Coder Next
none
Invalid SVG
- Cost
- $0.058
- Time
- 246.3s
- Tokens
- 64,126 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 2.6 1t | 3.0 | 10.0 | 0.0% | 0 | 38ms | 0 | 0 | 0 | |
| Qwen3 Coder Next | 3.9 | 9.6 | 0.0% | 0 | 208.38s | 116,102 | 33,360 | 0 |
| Anti-AI Tricks | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 2.6 1t | 3.4 | 10.0 | 0.0% | 0 | 6.55s | 726 | 777 | 0 | |
| Qwen3 Coder Next | 3.6 | 10.0 | 0.0% | 0 | 3.31s | 645 | 1,321 | 0 |
| Coding | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 2.6 1t | 3.8 | 10.0 | 0.0% | 0 | 10.57s | 813 | 381 | 0 | |
| Qwen3 Coder Next | 4.6 | 7.9 | 22.2% | 1 | 2.22s | 7,442 | 621 | 0 |
| Combined | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 2.6 1t | 6.5 | 10.0 | 50.0% | 0 | 23.79s | 80,539 | 9,304 | 0 | |
| Qwen3 Coder Next | 3.0 | 10.0 | 0.0% | 0 | 30.86s | 107,180 | 8,541 | 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 1t | 10.0 | 10.0 | 100.0% | 0 | 1.37s | 8,313 | 285 | 0 | |
| Qwen3 Coder Next | 6.5 | 10.0 | 50.0% | 0 | 1.32s | 7,758 | 246 | 0 |
| Domain specific | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 2.6 1t | 3.0 | 10.0 | 0.0% | 0 | 1.08s | 819 | 27 | 0 | |
| Qwen3 Coder Next | 5.3 | 10.0 | 33.3% | 0 | 871ms | 762 | 26 | 0 |
| General Intelligence | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 2.6 1t | 5.0 | 10.0 | 0.0% | 0 | 20.34s | 540 | 140 | 0 | |
| Qwen3 Coder Next | 10.0 | 10.0 | 100.0% | 0 | 1.34s | 498 | 152 | 0 |
| Instructions following | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 2.6 1t | 6.4 | 10.0 | 50.0% | 0 | 5.36s | 732 | 81 | 0 | |
| Qwen3 Coder Next | 6.3 | 10.0 | 50.0% | 0 | 7.78s | 684 | 63 | 0 |
| Puzzle Solving | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 2.6 1t | 3.1 | 10.0 | 0.0% | 0 | 5.36s | 729 | 131 | 0 | |
| Qwen3 Coder Next | 3.0 | 10.0 | 0.0% | 0 | 24.34s | 678 | 571 | 0 |
| Tool Calling | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 2.6 1t | 3.0 | 10.0 | 0.0% | 0 | 25.72s | 13,212 | 429 | 0 | |
| Qwen3 Coder Next | 10.0 | 10.0 | 100.0% | 0 | 2.47s | 8,364 | 255 | 0 |
| Trivia | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Ling 2.6 1t | 3.0 | 10.0 | 0.0% | 0 | 0ms | 0 | 0 | 0 | |
| Qwen3 Coder Next | 3.0 | 10.0 | 0.0% | 0 | 601ms | 216 | 12 | 0 |
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