- Rank
- #192
- Total Output Tokens
- 776,174
- Response Time (avg)
- 59.92s
- Total Cost
- $0.812
Qwen3.6 35B A3B (medium) vs GLM 5.1
The average score is effectively tied at 6.5 vs 6.5. GLM 5.1 has the lower benchmark cost at $0.311 vs $0.812. GLM 5.1 is faster at 11.10s vs 59.92s, with pass rates of 58.0% vs 47.8%.
Compared models
- Rank
- #196
- Total Output Tokens
- 20,076
- Response Time (avg)
- 11.10s
- Total Cost
- $0.311
Recommended model
GLM 5.1
It has the best score here (6.5), while costing about 2.6x less than Qwen3.6 35B A3B (medium).
Detailed comparison
| Metric | Qwen3.6 35B A3B Qwen3.6 35B A3B medium | GLM 5.1 GLM 5.1 none |
|---|---|---|
| Score | 6.5 | 6.5 |
| Rank | #192 | #196 |
| Reliability | 10.0 | 10.0 |
| Consistency | 9.0 | 8.2 |
| Attempts | 69/69 | 69/69 |
| Tests Correct | ||
| Attempt pass rate | 58.0% | 47.8% |
| Flaky tests | 3 | 5 |
| Total Runs | 69 | 69 |
| Cost per result | 6.732 | 3.478 |
| Total Cost | $0.812 | $0.311 |
| Input Price | $0.150 / 1M | $0.965 / 1M |
| Output Price | $1.000 / 1M | $3.032 / 1M |
| Total Input Tokens | 282,192 | 258,956 |
| Output Tokens | 75,306 | 20,076 |
| Reasoning Tokens | 700,868 | 0 |
| Response Time (avg) | 59.92s | 11.10s |
| Response Time (max) | 817.57s | 107.19s |
| Response Time (total) | 1258.32s | 255.39s |
| Parameters | 35B total (3B active) | 744B total (40B active) |
| Availability | Open source | Open source |
Model generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#192 Qwen3.6 35B A3B
medium
Reached the allocated time limit (300 seconds) without receiving showcase output.
- Cost
- $0.000
- Time
- 300.0s
- Tokens
- 0 tok
#196 GLM 5.1
none
Reached the allocated time limit (300 seconds) without receiving showcase output.
- Cost
- $0.000
- Time
- 300.0s
- 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
| Agentic | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 6.1 | 3.1 | 66.7% | 1 | 88.48s | 197,044 | 13,570 | 19,312 | |
| GLM 5.1 | 10.0 | 10.0 | 100.0% | 0 | 107.19s | 134,737 | 5,683 | 0 |
| Anti-AI Tricks | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 10.0 | 10.0 | 100.0% | 0 | 6.02s | 672 | 1,154 | 12,385 | |
| GLM 5.1 | 4.0 | 6.3 | 25.0% | 2 | 2.11s | 555 | 305 | 0 |
| Coding | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 7.7 | 10.0 | 66.7% | 0 | 50.55s | 5,051 | 7,929 | 37,223 | |
| GLM 5.1 | 3.9 | 9.7 | 0.0% | 0 | 4.96s | 7,256 | 525 | 0 |
| Combined | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 3.0 | 10.0 | 0.0% | 0 | 817.57s | 68,754 | 42,187 | 548,547 | |
| GLM 5.1 | 2.8 | 1.8 | 33.3% | 2 | 46.88s | 99,907 | 12,768 | 0 |
| Data parsing and extraction | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 10.0 | 10.0 | 100.0% | 0 | 12.99s | 7,776 | 2,591 | 9,968 | |
| GLM 5.1 | 10.0 | 10.0 | 100.0% | 0 | 1.08s | 7,107 | 204 | 0 |
| Domain specific | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 2.9 | 4.4 | 22.2% | 2 | 25.39s | 780 | 6,110 | 41,906 | |
| GLM 5.1 | 5.3 | 7.2 | 44.4% | 1 | 2.27s | 697 | 24 | 0 |
| General Intelligence | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 4.4 | 9.9 | 0.0% | 0 | 8.66s | 516 | 129 | 4,569 | |
| GLM 5.1 | 5.0 | 10.0 | 0.0% | 0 | 790ms | 477 | 39 | 0 |
| Instructions following | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 10.0 | 10.0 | 100.0% | 0 | 7.50s | 699 | 219 | 7,404 | |
| GLM 5.1 | 9.8 | 10.0 | 100.0% | 0 | 1.98s | 636 | 66 | 0 |
| Puzzle Solving | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 8.0 | 10.0 | 66.7% | 0 | 5.95s | 696 | 655 | 9,228 | |
| GLM 5.1 | 7.7 | 10.0 | 66.7% | 0 | 1.45s | 609 | 151 | 0 |
| Tool Calling | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 3.0 | 10.0 | 0.0% | 0 | 0ms | 0 | 0 | 0 | |
| GLM 5.1 | 10.0 | 10.0 | 100.0% | 0 | 10.68s | 6,789 | 300 | 0 |
| Trivia | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B A3B | 3.0 | 10.0 | 0.0% | 0 | 32.90s | 204 | 762 | 10,326 | |
| GLM 5.1 | 3.0 | 10.0 | 0.0% | 0 | 2.34s | 186 | 11 | 0 |
Quick Compare
Switch Comparison Pair
KAT-Coder-Pro V2.5highvsGLM 5.1noneGrok 4.3mediumvsGLM 5.1noneMercury 2.5 PreviewhighvsQwen3.6 35B A3BmediumLaguna XS 2.1mediumFree AvailablevsGLM 5.1noneMercury 2.5highvsQwen3.6 35B A3BmediumMercury 2.5highvsGLM 5.1noneQwen3.6 35B A3BmediumvsGLM 5.3lowMercury 2.5 PreviewhighvsGLM 5.1noneKAT-Coder-Pro V2.5lowvsQwen3.6 35B A3BmediumSolar Pro 4mediumvsGLM 5.1noneQwen3.6 35B A3BmediumvsGLM 5.2noneKAT-Coder-Pro V2.5highvsQwen3.6 35B A3Bmedium