- Score
- 7.5 (+3.87 points)
- Total Cost (Current Price)
- $0.000 · 0.0% cheaper
- Response Time (avg)
- 29.38s · 53.5% faster
Summary
Ling 3.0 Tiny scores 3.7 on AI BENCHY and ranks #418. It has 9.6 reliability, a 18.8% pass rate, $0.000 total cost, and 63.15s average response time.
What makes Ling 3.0 Tiny unique: It stands out most in Anti-AI Tricks, where it ranks #1, while Data parsing and extraction is its weakest area at #7. Its total benchmark cost is unusually low for its score range.
Recommended alternatives
We recommend choosing one of these models instead:
- Score
- 5.0 (+1.29 points)
- Total Cost (Current Price)
- $0.000 · 0.0% cheaper
- Response Time (avg)
- 5.36s · 91.5% faster
- Score
- 5.5 (+1.81 points)
- Total Cost (Current Price)
- $0.000 · 0.0% cheaper
- Response Time (avg)
- 15.75s · 75.1% faster
Model facts
Researched on 2026-08-12
- Parameters
- 7.9B total (1.3B active)
- Architecture
- MoE
- Availability
- Open source
- License
- MIT
3.7
Consistency
9.7
9.6
$0.000
Total Output Tokens
868,004
Total Input Tokens
99,662
Input Price
$0.000 / 1M
Output Price
$0.000 / 1M
Cache Read Price
N/A
Cache Write Price
N/A
Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.
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.
#418 Ling 3.0 Tiny
low- Cost
- $0.000
- Time
- 200.0s
- Tokens
- 5,030 tok
Run history
| Tested on | Score | Reliability | Tests Correct | Total Cost | Compare |
|---|---|---|---|---|---|
| 2026-10-01 02:53 Re-test | 3.7 | 9.6 | $0.000 | Current run | |
| 2026-08-07 23:06 First recorded run | 3.8 | 9.7 | $0.000 | 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) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-01 02:53 · Current run | 69/69 attempts | 3.7 | 9.7 | 9.6 | 4/23 | 1 | 868,004 | 99,662 | $0.000 | 63.15s |
| 2026-08-07 23:06 · First recorded run | 66/66 attempts | 3.8 | 9.7 | 9.7 | 4/22 | 1 | 977,836 | 99,842 | $0.000 | 66.85s |
| Difference | — | -0.2 | 0.0 | -0.1 | 0 | 0 | -109832 | -180 | $0.000 | -3697ms |
Benchmark coverage differs: 69/69 attempts (Target: 3 repeats per test) versus 66/66 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
Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Agentic | 3.0 | 10.0 | |
| Anti-AI Tricks | 6.5 | 10.0 | |
| Coding | 2.9 | 10.0 | |
| Combined | 3.0 | 10.0 | |
| Data parsing and extraction | 2.8 | 10.0 | |
| Domain specific | 3.0 | 10.0 | |
| General Intelligence | 5.1 | 3.4 | |
| Instructions following | 6.6 | 10.0 | |
| Puzzle Solving | 3.0 | 10.0 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 3.0 | 10.0 |