Head to head
Any two models from the board, on the same tasks and graders.
Qwen3.8 Flash leads by 33 points and wins 9 of 9 tasks.
Task by task
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 TinyBQwen3.8 FlashLead
Overall
21
54
Tool Calling
37
79
Structured Output
20
47
RAG / Retrieval QA
4
41
Context Recall
56
89
Coding
0
75
Reasoning & Math
25
32
Instruction Following
4
25
Classification
17
38
Summarization
27
60
The race
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.
Every test case
One square per test case, in suite order. A square takes the color of the model that scored higher on it.
Tool Calling
Structured Output
RAG / Retrieval QA
Context Recall
Coding
Reasoning & Math
Instruction Following
Classification
Summarization
Where it breaks
On the impossible tier, Ling 3.0 Tiny passes 8% of test cases and Qwen3.8 Flash passes 35%.
TierALing 3.0 TinyBQwen3.8 FlashLead
Baseline
56
89
Hard
19
57
Impossible
8
35
Thinking spend
Ling 3.0 Tiny spends 1.2× as many thinking tokens per test case.
4.4Ktokens
Per test case, 56% of it thinking
3Ktokens
Per test case, 70% of it thinking
TaskALing 3.0 TinyBQwen3.8 Flash
Tool Calling
4.8K45% thinking
6.7K66% thinking
Structured Output
3.2K45% thinking
1.9K67% thinking
RAG / Retrieval QA
3.9K59% thinking
2.4K66% thinking
Context Recall
1.8K66% thinking
55595% thinking
Coding
8.2K79% thinking
5.2K71% thinking
Reasoning & Math
6.7K49% thinking
4.3K73% thinking
Instruction Following
3.8K51% thinking
2.3K69% thinking
Classification
3.4K46% thinking
1.8K72% thinking
Summarization
2.6K54% thinking
1.4K70% thinking
What you'd run
The build behind each score. The better value in each row is highlighted.
SpecALing 3.0 TinyBQwen3.8 Flash
Speed
195 tok/s (better)
64 tok/s
Memory
—
—
Context
262.1K
1M (better)
Cost per run
$0 (better)
$0.5705
Quantization
—
—
Harness
openrouter
openrouter