GLM 5.3 Flash vs Underdog Saluki 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. Underdog Saluki 27B spends 2.3× as many thinking tokens per test case.
TaskAGLM 5.3 FlashBUnderdog Saluki 27B
Overall
3555.5s
335m 15s
Agents
1037.0s
409m 2s
Structured Extraction
4847.2s
433m 17s
Coding
541m 52s
166m 54s
Grounded Answers
3756.8s
433m 22s
Instruction Following
4340.8s
466m 5s
Business Logic
331m 18s
333m 55s
Security & permissions
5525.2s
433m 47s
Diagnosis & investigation
027.0s
06m 39s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAGLM 5.3 FlashBUnderdog Saluki 27B
Speed
60 tok/s
23 tok/s
Machine
Hosted
Apple M5 Pro, 48 GB
Memory at 32K
—
10.2 GB
Context
1M (better)
256K
Cost per run
$0.19
Not measured
Cost per case
$0.0013
Not measured
Time per case
55.5s (better)
5m 15s
Quantization
FP8
IQ2_XS
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