GLM 5.3 Flash 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. Qwen3.8 27B spends 2.2× as many thinking tokens per test case.
TaskAGLM 5.3 FlashBQwen3.8 27B
Overall
3555.5s
4833.3s
Agents
1037.0s
5736.6s
Structured Extraction
4847.2s
7320.6s
Coding
541m 52s
3753.0s
Grounded Answers
3756.8s
6131.6s
Instruction Following
4340.8s
6733.6s
Business Logic
331m 18s
3632.9s
Security & permissions
5525.2s
5122.6s
Diagnosis & investigation
027.0s
040.0s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAGLM 5.3 FlashBQwen3.8 27B
Speed
60 tok/s
196 tok/s (better)
Machine
Hosted
Hosted
Memory at 32K
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—
Context
1M (better)
256K
Cost per run
$0.19 (better)
$1.28
Cost per case
$0.0013 (better)
$0.0083
Time per case
55.5s
33.3s (better)
Quantization
FP8
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