- Rank
- #259
- Total Output Tokens
- 82,585
- Response Time (avg)
- 3.51s
- Total Cost
- $0.018
Mercury 2.5 Preview vs Ling-2.6-flash
Mercury 2.5 Preview leads on average score with 4.9 vs 4.9. Ling-2.6-flash has the lower benchmark cost at $0.002 vs $0.018. Mercury 2.5 Preview is faster at 3.51s vs 10.71s, with pass rates of 30.3% vs 30.3%.
- Rank
- #260
- Total Output Tokens
- 14,903
- Response Time (avg)
- 10.71s
- Total Cost
- $0.002
Recommended model
Mercury 2.5 Preview
It has the best score here (4.9), while responding about 3.0x faster than Ling-2.6-flash.
Detailed comparison
| Metric | Mercury 2.5 Preview Mercury 2.5 Preview none | Ling-2.6-flash Ling-2.6-flash none |
|---|---|---|
| Score | 4.9 | 4.9 |
| Rank | #259 | #260 |
| Reliability | 10.0 | 9.6 |
| Consistency | 8.3 | 9.3 |
| Attempts | 66/66 | 66/66 |
| Tests Correct | ||
| Attempt pass rate | 30.3% | 30.3% |
| Flaky tests | 5 | 2 |
| Total Runs | 66 | 66 |
| Cost per result | 0.440 | 0.024 |
| Total Cost | $0.018 | $0.002 |
| Input Price | $0.040 / 1M | $0.010 / 1M |
| Output Price | $0.150 / 1M | $0.030 / 1M |
| Total Input Tokens | 130,296 | 114,384 |
| Output Tokens | 82,585 | 14,903 |
| Reasoning Tokens | 0 | 0 |
| Response Time (avg) | 3.51s | 10.71s |
| Response Time (max) | 60.70s | 36.03s |
| Response Time (total) | 77.28s | 214.28s |
| Parameters | ~100B | 104B total (7.4B active) |
| Availability | Closed | Open source |
Model generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#259 Mercury 2.5 Preview
none
Invalid SVG
- Cost
- $0.001
- Time
- 3.3s
- Tokens
- 3,122 tok
#260 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
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 |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 3.8 | 8.3 | 16.7% | 1 | 655ms | 812 | 256 | 0 | |
| Ling-2.6-flash | 6.8 | 8.1 | 58.3% | 1 | 11.81s | 726 | 573 | 0 |
| Coding | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 4.7 | 7.9 | 22.2% | 1 | 459ms | 7,850 | 650 | 0 | |
| Ling-2.6-flash | 5.3 | 10.0 | 33.3% | 0 | 11.21s | 813 | 381 | 0 |
| Combined | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 3.0 | 10.0 | 0.0% | 0 | 31.28s | 101,129 | 80,273 | 0 | |
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 35.69s | 94,475 | 13,094 | 0 |
| Data parsing and extraction | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 6.3 | 5.8 | 66.7% | 1 | 1.04s | 8,333 | 672 | 0 | |
| Ling-2.6-flash | 6.5 | 10.0 | 50.0% | 0 | 8.48s | 8,004 | 246 | 0 |
| Domain specific | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 3.6 | 7.2 | 22.2% | 1 | 631ms | 875 | 40 | 0 | |
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 5.20s | 819 | 24 | 0 |
| General Intelligence | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 5.0 | 10.0 | 0.0% | 0 | 482ms | 544 | 85 | 0 | |
| Ling-2.6-flash | 4.0 | 10.0 | 0.0% | 0 | 1.45s | 540 | 109 | 0 |
| Instructions following | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 6.3 | 10.0 | 50.0% | 0 | 1.26s | 753 | 73 | 0 | |
| Ling-2.6-flash | 9.8 | 10.0 | 100.0% | 0 | 5.52s | 732 | 81 | 0 |
| Puzzle Solving | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 5.6 | 7.4 | 44.4% | 1 | 684ms | 796 | 292 | 0 | |
| Ling-2.6-flash | 2.9 | 7.2 | 11.1% | 1 | 6.51s | 729 | 151 | 0 |
| Tool Calling | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 10.0 | 10.0 | 100.0% | 0 | 1.29s | 8,969 | 229 | 0 | |
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 18.80s | 7,324 | 229 | 0 |
| Trivia | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Mercury 2.5 Preview | 3.0 | 10.0 | 0.0% | 0 | 419ms | 235 | 15 | 0 | |
| Ling-2.6-flash | 3.0 | 10.0 | 0.0% | 0 | 1.06s | 222 | 15 | 0 |
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