Mistral Large 4 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 1.8× as many thinking tokens per test case.
TaskAMistral Large 4BMuse Spark 1.3 Contributor
Overall
281m 56s
661m 42s
Agents
1126.1s
573m 16s
Structured Extraction
153.78s
9037.9s
Coding
332m 48s
482m 1s
Grounded Answers
382m 45s
811m 1s
Instruction Following
693m 47s
841m 18s
Business Logic
242m 40s
761m 7s
Security & permissions
331m 9s
761m 59s
Diagnosis & investigation
01m 19s
173m 34s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAMistral Large 4BMuse Spark 1.3 Contributor
Speed
56 tok/s
107 tok/s (better)
Machine
Hosted
Hosted
Memory at 32K
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Context
512K
1M (better)
Cost per run
$2.67
$0.41 (better)
Cost per case
$0.017
$0.0027 (better)
Time per case
1m 56s
1m 42s (better)
Quantization
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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