#58 GLM 5
none- Cost
- $0.007
- Time
- 32.1s
- Tokens
- 2,023 tok
Z.ai
Release: 2026-02-12
Tested on: 2026-04-22 12:55
z-ai/glm-5::none
744B total (40B active)MoEOpen source
(medium)
(none)
Summary
GLM 5 scores 6.6 on AI BENCHY and ranks #58. It has N/A reliability, a 51.9% pass rate, $0.020 total cost, and 4.23s average response time.
What makes GLM 5 unique: Its total benchmark cost is unusually low for its score range. It is notably fast compared with similar models.
Model facts
Researched on 2026-08-12
- Parameters
- 744B total (40B active)
- Architecture
- MoE
- Availability
- Open source
- License
- MIT
6.6
Consistency
9.6
N/A
$0.020
Total Output Tokens
1,959
Total Input Tokens
0
Input Price
$0.650 / 1M
Output Price
$2.080 / 1M
Flaky tests
1
Flaky tests had mixed outcomes across runs (at least one pass and one fail).
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
Run history
| Tested on | Score | Reliability | Tests Correct | Total Cost | Compare |
|---|---|---|---|---|---|
| 2026-06-04 13:05 Re-test | 5.7 | 10.0 | $0.041 ↑ | Compare | |
| 2026-06-04 13:05 Re-test | 5.7 | 10.0 | $0.042 ↑ | Compare | |
| 2026-06-04 13:05 New test added | 6.1 | 10.0 | $0.027 ↑ | Compare | |
| 2026-05-21 23:41 Suite changed | 6.3 | 10.0 | $0.023 | Compare | |
| 2026-04-22 12:55 First recorded run | 6.6 | N/A | $0.020 | Current run |
Run comparison
| Run | Benchmark coverage | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-04-22 12:55 · First recorded run | 54/54 attempts | 6.6 | 9.6 | N/A | 9/18 | 1 | 1,959 | 0 | $0.020 | 4.23s |
| 2026-05-21 23:41 · Suite changed | 60/60 attempts | 6.3 | 9.7 | 10.0 | 9/20 | 1 | 1,988 | 0 | $0.023 | 3.97s |
| Difference | — | +0.4 | -0.1 | 0 | 0 | -29 | 0 | -$0.003 | +255ms |
Benchmark coverage differs: 54/54 attempts (Target: 3 repeats per test) versus 60/60 attempts (Target: 3 repeats per test). Totals and repeat-sensitive metrics are not directly comparable.
These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.
Charts
Choose the first model, then click a second model to open a side-by-side page.
Top Models by Score
Score vs Total Cost
Response Time (avg)
Score vs Response Time (avg)
Total Output Tokens
Score vs Total Output Tokens
Quick Compare
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Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Anti-AI Tricks | 4.8 | 10.0 | |
| Coding | 5.6 | 3.5 | |
| Combined | 3.0 | 10.0 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 3.0 | 10.0 | |
| General Intelligence | 10.0 | 10.0 | |
| Instructions following | 10.0 | 10.0 | |
| Puzzle Solving | 7.7 | 10.0 | |
| Tool Calling | 10.0 | 10.0 |