Muse Spark 1.3 Contributor vs Qwen3.8 27B
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 1.5× as many thinking tokens per test case.
TaskAMuse Spark 1.3 ContributorBQwen3.8 27B
Overall
661m 42s
4833.3s
Agents
573m 16s
5736.6s
Structured Extraction
9037.9s
7320.6s
Coding
482m 1s
3753.0s
Grounded Answers
811m 1s
6131.6s
Instruction Following
841m 18s
6733.6s
Business Logic
761m 7s
3632.9s
Security & permissions
761m 59s
5122.6s
Diagnosis & investigation
173m 34s
040.0s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAMuse Spark 1.3 ContributorBQwen3.8 27B
Speed
107 tok/s
196 tok/s (better)
Machine
Hosted
Hosted
Memory at 32K
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—
Context
1M (better)
256K
Cost per run
$0.41 (better)
$1.28
Cost per case
$0.0027 (better)
$0.0083
Time per case
1m 42s
33.3s (better)
Quantization
—
FP8
Harness
openrouter
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