Muse Spark 1.3 Contributor vs Spark X2.6 4B
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.
TaskAMuse Spark 1.3 ContributorBSpark X2.6 4B
Overall
661m 42s
151m 3s
Agents
573m 16s
141m 32s
Structured Extraction
9037.9s
1039.5s
Coding
482m 1s
41m 8s
Grounded Answers
811m 1s
1050.2s
Instruction Following
841m 18s
371m 29s
Business Logic
761m 7s
1036.3s
Security & permissions
761m 59s
3154.3s
Diagnosis & investigation
173m 34s
01m 30s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAMuse Spark 1.3 ContributorBSpark X2.6 4B
Speed
107 tok/s
136 tok/s
Machine
Hosted
RTX 5090, 32 GB
Memory at 32K
—
9.4 GB
Context
1M (better)
605K
Cost per run
$0.41 (better)
$1.61 est.
Cost per case
$0.0027 (better)
$0.011 est.
Time per case
1m 42s
1m 3s (better)
Quantization
—
BF16
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