GLM 5.3 Flash 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 3.2× as many thinking tokens per test case.
TaskAGLM 5.3 FlashBMuse Spark 1.3 Contributor
Overall
3555.5s
661m 42s
Agents
1037.0s
573m 16s
Structured Extraction
4847.2s
9037.9s
Coding
541m 52s
482m 1s
Grounded Answers
3756.8s
811m 1s
Instruction Following
4340.8s
841m 18s
Business Logic
331m 18s
761m 7s
Security & permissions
5525.2s
761m 59s
Diagnosis & investigation
027.0s
173m 34s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAGLM 5.3 FlashBMuse Spark 1.3 Contributor
Speed
60 tok/s
107 tok/s (better)
Machine
Hosted
Hosted
Memory at 32K
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Context
1M
1M
Cost per run
$0.19 (better)
$0.41
Cost per case
$0.0013 (better)
$0.0027
Time per case
55.5s (better)
1m 42s
Quantization
FP8
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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