Flint vs Mistral Large 4
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. Flint spends 2.2× as many thinking tokens per test case.
TaskAFlintBMistral Large 4
Overall
211m 17s
281m 56s
Agents
1447.7s
1126.1s
Structured Extraction
291m 17s
153.78s
Coding
141m 19s
332m 48s
Grounded Answers
2957.7s
382m 45s
Instruction Following
352m 28s
693m 47s
Business Logic
101m 20s
242m 40s
Security & permissions
3552.6s
331m 9s
Diagnosis & investigation
057.0s
01m 19s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAFlintBMistral Large 4
Speed
149 tok/s (better)
56 tok/s
Machine
Hosted
Hosted
Memory at 32K
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Context
256K
512K (better)
Cost per run
Not measured
$2.67
Cost per case
Not measured
$0.017
Time per case
1m 17s (better)
1m 56s
Quantization
BF16
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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