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#272

Ling 3.1 Flash

Inclusionai Release: 2026-10-03 Tested on: 2026-10-03 09:41 inclusionai/ling-3.1-flash::none
560B total (25B active)MoEClosed

Summary

Ling 3.1 Flash scores 5.5 on AI BENCHY and ranks #272. It has 9.8 reliability, a 33.3% pass rate, $0.000 total cost, and 15.75s average response time.

What makes Ling 3.1 Flash unique: It stands out most in Agentic, where it ranks #1, while Combined is its weakest area at #13. Its total benchmark cost is unusually low for its score range.

Model facts

Researched on 2026-10-03

Reported
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.

Score

5.5

Consistency

8.4

Total Output Tokens

85,777

Total Input Tokens

286,758

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.

Tests Correct

Wrong Tests: 18

Attempt pass rate: 33.3%

Flaky tests

5

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

15.75s

Response Time (max): 90.95s

Response Time (total): 362.23s

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#272 Ling 3.1 Flash

none
Cost
$0.000
Time
171.4s
Tokens
20,178 tok

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Agentic 6.1 3.1
Anti-AI Tricks 3.6 10.0
Coding 4.5 7.5
Combined 2.9 5.8
Data parsing and extraction 10.0 10.0
Domain specific 3.0 10.0
General Intelligence 5.0 10.0
Instructions following 8.0 6.8
Puzzle Solving 7.7 10.0
Tool Calling 4.7 1.6
Trivia 3.0 10.0

Compared models