- Score
- 7.5 (+1.24 points)
- Total Cost (Current Price)
- $0.000 · 0.0% cheaper
- Response Time (avg)
- 29.38s · 65.5% faster
Summary
Ling 3.1 Flash scores 6.3 on AI BENCHY and ranks #222. It has 9.7 reliability, a 66.7% pass rate, $0.000 total cost, and 85.22s average response time.
What makes Ling 3.1 Flash unique: It stands out most in Anti-AI Tricks, where it ranks #1, while General Intelligence is its weakest area at #15. Its total benchmark cost is unusually low for its score range.
Recommended alternatives
We recommend choosing one of these models instead:
- Score
- 7.9 (+1.55 points)
- Total Cost (Current Price)
- $0.000 · 0.0% cheaper
- Response Time (avg)
- 87.39s · 2.5% slower
Model facts
Researched on 2026-10-03
- Parameters
- 560B total (25B active)
- Architecture
- MoE
- Availability
- Closed
- License
- -
Providers report a 560B total / 25B active hybrid reasoning MoE. This exact checkpoint is currently offered through hosted APIs. No public 3.1 weight release or checkpoint license was identified in InclusionAI's model registry or Ling repository at research time; do not inherit the MIT license of Ling 3.0. OpenRouter serves a 262,144-token context and up to 32,768 completion tokens.
6.3
Consistency
7.8
9.7
$0.000
Total Output Tokens
704,170
Total Input Tokens
271,890
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
6
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.
#222 Ling 3.1 Flash
low- Cost
- $0.000
- Time
- 133.5s
- Tokens
- 12,950 tok
Charts
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Top Models by Score
Score vs Total Cost
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Score vs Response Time (avg)
Total Output Tokens
Score vs Total Output Tokens
Quick Compare
Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Agentic | 4.7 | 1.6 | |
| Anti-AI Tricks | 10.0 | 10.0 | |
| Coding | 5.6 | 4.2 | |
| Combined | 6.6 | 9.1 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 2.9 | 7.2 | |
| General Intelligence | 3.0 | 10.0 | |
| Instructions following | 9.8 | 10.0 | |
| Puzzle Solving | 8.9 | 7.8 | |
| Tool Calling | 4.7 | 1.6 | |
| Trivia | 3.0 | 10.0 |