GPT-6 Luna 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. Mellum2.1 Thinking spends 4.7× as many thinking tokens per test case.
TaskAGPT-6 LunaBMellum2.1 Thinking
Overall
6149.1s
91m 56s
Agents
561m 18s
92m 3s
Structured Extraction
9514.5s
51m 36s
Coding
732m 18s
52m 11s
Grounded Answers
6715.6s
131m 24s
Instruction Following
8432.3s
283m 10s
Business Logic
3743.1s
01m 39s
Security & permissions
6224.5s
81m 40s
Diagnosis & investigation
1737.7s
01m 15s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAGPT-6 LunaBMellum2.1 Thinking
Speed
90 tok/s
90 tok/s
Machine
Hosted
Apple M5 Pro, 48 GB
Memory at 32K
—
12.9 GB
Context
1.1M (better)
128K
Cost per run
$0.10 (better)
$2.46 est.
Cost per case
$0.00067 (better)
$0.016 est.
Time per case
49.1s (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