Flint 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. Flint spends 1.5× as many thinking tokens per test case.
TaskAFlintBMellum2.1 Thinking
Overall
211m 17s
91m 56s
Agents
1447.7s
92m 3s
Structured Extraction
291m 17s
51m 36s
Coding
141m 19s
52m 11s
Grounded Answers
2957.7s
131m 24s
Instruction Following
352m 28s
283m 10s
Business Logic
101m 20s
01m 39s
Security & permissions
3552.6s
81m 40s
Diagnosis & investigation
057.0s
01m 15s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAFlintBMellum2.1 Thinking
Speed
149 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 17s (better)
1m 56s
Quantization
BF16
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