Mistral Large 4 vs Claude Haiku 5.5
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. Mistral Large 4 spends 1.5× as many thinking tokens per test case.
TaskAMistral Large 4BClaude Haiku 5.5
Overall
281m 56s
7025.5s
Agents
1126.1s
6139.5s
Structured Extraction
153.78s
9013.5s
Coding
332m 48s
8630.6s
Grounded Answers
382m 45s
7613.9s
Instruction Following
693m 47s
9431.5s
Business Logic
242m 40s
6726.0s
Security & permissions
331m 9s
6723.4s
Diagnosis & investigation
01m 19s
1725.5s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAMistral Large 4BClaude Haiku 5.5
Speed
56 tok/s
225 tok/s (better)
Machine
Hosted
Hosted
Memory at 32K
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Context
512K
1M (better)
Cost per run
$2.67
$0.42 (better)
Cost per case
$0.017
$0.0028 (better)
Time per case
1m 56s
25.5s (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