#148 GLM 4.7 Flash
medium
Invalid SVG
- Cost
- $0.000
- Time
- 186.2s
- Tokens
- 12,112 tok
Z.ai
Release: 2026-01-19
Tested on: 2026-05-21 23:50
z-ai/glm-4.7-flash::medium
30B total (3B active)MoEOpen source
(medium)
(none)
Summary
GLM 4.7 Flash scores 4.5 on AI BENCHY and ranks #148. It has 8.3 reliability, a 35.0% pass rate, $0.054 total cost, and 35.09s average response time.
Model facts
Researched on 2026-08-12
- Parameters
- 30B total (3B active)
- Architecture
- MoE
- Availability
- Open source
- License
- MIT
4.5
Consistency
6.7
8.3
$0.054
Total Output Tokens
132,820
Total Input Tokens
0
Input Price
$0.060 / 1M
Output Price
$0.400 / 1M
Flaky tests
8
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 |
|---|---|---|---|---|---|
| 2026-08-14 01:33 Re-test | 4.3 | 8.6 | $0.168 | Compare | |
| 2026-07-16 22:32 New test added | 4.3 | 7.8 | $0.166 | Compare | |
| 2026-06-04 13:29 New test added | 4.4 | 6.7 | $0.054 | Compare | |
| 2026-05-21 23:50 Suite changed | 4.5 | 8.3 | $0.054 | Current run | |
| 2026-04-11 01:19 First recorded run | 4.6 | N/A | $0.046 | Compare |
This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.
Run comparison
| Run | Benchmark coverage | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-05-21 23:50 · Suite changed | 60/60 attempts | 4.5 | 6.7 | 8.3 | 4/20 | 8 | 132,820 | 0 | $0.054 | 35.09s |
| 2026-06-04 13:29 · New test added | 63/63 attempts | 4.4 | 6.8 | 6.7 | 4/21 | 8 | 132,833 | 37,206 | $0.054 | 35.10s |
| Difference | — | +0.1 | -0.1 | +1.6 | 0 | 0 | -13 | -37206 | -$0.001 | -4ms |
Benchmark coverage differs: 60/60 attempts (Target: 3 repeats per test) versus 63/63 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 | 4.7 | 5.9 | |
| Coding | 3.4 | 6.0 | |
| Combined | 2.8 | 2.1 | |
| Data parsing and extraction | 6.3 | 10.0 | |
| Domain specific | 3.5 | 4.4 | |
| General Intelligence | 3.6 | 9.7 | |
| Instructions following | 6.2 | 5.8 | |
| Puzzle Solving | 2.9 | 7.2 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 3.0 | 10.0 |