Head to head

Any two models from the board, on the same tasks and graders.

Side A

Profile

Hostedinclusionai264 tok/sopenrouter

Side B

Profile

Hostedinclusionai195 tok/sopenrouter

Overall

Wins 9 tasks, 57 test cases

Overall

Wins 0 tasks, 7 test cases

Ling-3.0 flash leads by 18 points and wins 9 of 9 tasks.

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Task by task

Ling-3.0 flash wins 9 of 9

Average score on each task, best build on each side. The higher score is highlighted. Hover a score for the test cases behind it.

TaskALing-3.0 flashBLing 3.0 TinyLead

Overall

+18

Tool Calling

Right tool, right args, right sequence?

+30

Structured Output

Valid JSON matching the schema, correct fields?

+17

RAG / Retrieval QA

A correct answer grounded in the given context, with nothing made up?

+26

Context Recall

Finds the one fact buried in a long context?

+33

Coding

Working code that passes hidden unit tests?

+11

Reasoning & Math

Multi-step math and logic with the exact right answer?

Instruction Following

Obeys format, length, and content constraints to the letter?

Classification

Correct label from a fixed set?

+28

Summarization

Compact summary that keeps the facts and invents none?

The race

No lead changes

Score piled up over the 238 test cases both models ran, as a share of the suite's maximum. The dashed line is a perfect run.

Ling-3.0 flashLing 3.0 Tiny

Every test case

238 test cases

One square per test case, in suite order. A square takes the color of the model that scored higher on it.

Tool Calling151

Structured Output60

RAG / Retrieval QA70

Context Recall71

Coding30

Reasoning & Math31

Instruction Following21

Classification80

Summarization63

57 won by Ling-3.0 flash7 won by Ling 3.0 Tiny174 tied

Where it breaks

238 shared test cases

On the impossible tier, Ling-3.0 flash passes 20% of test cases and Ling 3.0 Tiny passes 8%.

TierALing-3.0 flashBLing 3.0 TinyLead

Baseline

36 test cases

75%

56%

+19 pts

Hard

69 test cases

46%

19%

+27 pts

Impossible

133 test cases

20%

+12 pts

Tiers come from the suite. Baseline is fair, hard is adversarial, and impossible is built so that nothing solves it. Each number is the share of test cases the model fully passed.

Thinking spend

Both models spend about the same on thinking per test case.

Ling-3.0 flash

4.1Ktokens

Per test case, 55% of it thinking

Ling 3.0 Tiny

4.4Ktokens

Per test case, 56% of it thinking

TaskALing-3.0 flashBLing 3.0 Tiny

Tool Calling

6.7K40% thinking

4.8K45% thinking

Structured Output

3K46% thinking

3.2K45% thinking

RAG / Retrieval QA

3.3K54% thinking

3.9K59% thinking

Context Recall

87459% thinking

1.8K66% thinking

Coding

8K79% thinking

8.2K79% thinking

Reasoning & Math

6.2K52% thinking

6.7K49% thinking

Instruction Following

3.2K54% thinking

3.8K51% thinking

Classification

2.8K50% thinking

3.4K46% thinking

Summarization

2K49% thinking

2.6K54% thinking

Average output tokens per test case, and how much of it was thinking.

What you'd run

The build behind each score. The better value in each row is highlighted.

SpecALing-3.0 flashBLing 3.0 Tiny

Speed

264 tok/s

195 tok/s

Memory

—

Context

262.1K

Cost per run

Quantization

—

Harness

openrouter

Faster, smaller, cheaper and more context count as better. Quantization and harness only describe the builds.