DeepSeek V4.1 Flash vs Flint

Overall
64
vs
Overall
21

DeepSeek V4.1 Flash is clearly better. It wins 75 of the 76 test cases where they differ.

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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 1.8× as many thinking tokens per test case.

Thinking tokensAnswer tokens
TaskAB
Overall
643m 35s
6K, 91% thinking10.9K, 90% thinking
211m 17s
Agents
464m 42s
6.1K, 82% thinking4.8K, 85% thinking
1447.7s
Structured Extraction
862m 8s
4.4K, 94% thinking10.9K, 87% thinking
291m 17s
Coding
514m 55s
9.7K, 95% thinking12K, 98% thinking
141m 19s
Grounded Answers
762m 17s
3.9K, 90% thinking8.7K, 93% thinking
2957.7s
Instruction Following
894m 24s
7.5K, 94% thinking22.2K, 93% thinking
352m 28s
Business Logic
814m 1s
7K, 97% thinking11.7K, 78% thinking
101m 20s
Security & permissions
693m 3s
4.4K, 81% thinking7.1K, 90% thinking
3552.6s
Diagnosis & investigation
172m 8s
3.2K, 67% thinking7.3K, 99% thinking
057.0s

What you'd run

The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.

SpecAB
Speed
30 tok/s
149 tok/s (better)
Machine
Hosted
Hosted
Memory at 32K
—
—
Context
1M (better)
256K
Cost per run
$0.39
Not measured
Cost per case
$0.0026
Not measured
Time per case
3m 35s
1m 17s (better)
Quantization
FP8
BF16
Harness
openrouter
openrouter

The race

No lead changes

Each model's running score as the test cases go by. The dashed line is a perfect run.

DeepSeek V4.1 FlashFlint
0255075100501001506421

Every test case

153 test cases

Each square is one test case, colored by the model that scored higher.

75 won by DeepSeek V4.1 Flash1 won by Flint77 tied