Mistral Large 4 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 1.2× as many thinking tokens per test case.
TaskAMistral Large 4BQwen3.8 27B
Overall
281m 56s
4833.3s
Agents
1126.1s
5736.6s
Structured Extraction
153.78s
7320.6s
Coding
332m 48s
3753.0s
Grounded Answers
382m 45s
6131.6s
Instruction Following
693m 47s
6733.6s
Business Logic
242m 40s
3632.9s
Security & permissions
331m 9s
5122.6s
Diagnosis & investigation
01m 19s
040.0s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAMistral Large 4BQwen3.8 27B
Speed
56 tok/s
196 tok/s (better)
Machine
Hosted
Hosted
Memory at 32K
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Context
512K (better)
256K
Cost per run
$2.67
$1.28 (better)
Cost per case
$0.017
$0.0083 (better)
Time per case
1m 56s
33.3s (better)
Quantization
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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