Ling 3.1 Flash vs Mellum2.1 Thinking
Task by task
A score turns orange only when that model wins clearly more of the task's test cases. Under each score, the average time per test case on the machine it ran on. Both models spend about the same on thinking per test case.
TaskALing 3.1 FlashBMellum2.1 Thinking
Overall
451m 16s
91m 56s
Agents
4155.9s
92m 3s
Structured Extraction
711m 11s
51m 36s
Coding
241m 42s
52m 11s
Grounded Answers
5258.9s
131m 24s
Instruction Following
761m 55s
283m 10s
Business Logic
381m 22s
01m 39s
Security & permissions
5456.1s
81m 40s
Diagnosis & investigation
042.1s
01m 15s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecALing 3.1 FlashBMellum2.1 Thinking
Speed
112 tok/s
90 tok/s
Machine
Hosted
Apple M5 Pro, 48 GB
Memory at 32K
—
12.9 GB
Context
256K (better)
128K
Cost per run
Not measured
$2.46 est.
Cost per case
Not measured
$0.016 est.
Time per case
1m 16s (better)
1m 56s
Quantization
—
Q8_0
Harness
openrouter
llama.cpp
The race
Each model's running score as the test cases go by. The dashed line is a perfect run.
Every test case
Each square is one test case, colored by the model that scored higher.
Agents
Structured Extraction
Coding
Grounded Answers
Instruction Following
Business Logic
Security & permissions
Diagnosis & investigation