Mellum2.1 Thinking vs Muse Spark 1.3 Contributor
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. Muse Spark 1.3 Contributor spends 1.2× as many thinking tokens per test case.
TaskAMellum2.1 ThinkingBMuse Spark 1.3 Contributor
Overall
91m 56s
661m 42s
Agents
92m 3s
573m 16s
Structured Extraction
51m 36s
9037.9s
Coding
52m 11s
482m 1s
Grounded Answers
131m 24s
811m 1s
Instruction Following
283m 10s
841m 18s
Business Logic
01m 39s
761m 7s
Security & permissions
81m 40s
761m 59s
Diagnosis & investigation
01m 15s
173m 34s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAMellum2.1 ThinkingBMuse Spark 1.3 Contributor
Speed
90 tok/s
107 tok/s
Machine
Apple M5 Pro, 48 GB
Hosted
Memory at 32K
12.9 GB
—
Context
128K
1M (better)
Cost per run
$2.46 est.
$0.41 (better)
Cost per case
$0.016 est.
$0.0027 (better)
Time per case
1m 56s
1m 42s (better)
Quantization
Q8_0
—
Harness
llama.cpp
openrouter
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