DeepSeek V4.1 Flash vs DeepSeek V4.1 Flash 1017

Overall
64
vs
Overall
56

DeepSeek V4.1 Flash is clearly better. It wins 21 of the 31 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. Both models spend about the same on thinking per test case.

Thinking tokensAnswer tokens
TaskAB
Overall
643m 35s
6K, 91% thinking5.3K, 91% thinking
5626.0s
Agents
464m 42s
6.1K, 82% thinking3.3K, 71% thinking
5826.7s
Structured Extraction
862m 8s
4.4K, 94% thinking4.2K, 93% thinking
8117.2s
Coding
514m 55s
9.7K, 95% thinking9.4K, 95% thinking
4840.8s
Grounded Answers
762m 17s
3.9K, 90% thinking4.4K, 91% thinking
7119.8s
Instruction Following
894m 24s
7.5K, 94% thinking5.5K, 91% thinking
7625.6s
Business Logic
814m 1s
7K, 97% thinking6.6K, 97% thinking
6726.6s
Security & permissions
693m 3s
4.4K, 81% thinking4.7K, 87% thinking
4826.6s
Diagnosis & investigation
172m 8s
3.2K, 67% thinking3.2K, 74% thinking
020.2s

What you'd run

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

SpecAB
Speed
30 tok/s
243 tok/s (better)
Machine
Hosted
Hosted
Memory at 32K
—
—
Context
1M
1M
Cost per run
$0.39 (better)
$0.75
Cost per case
$0.0026 (better)
$0.0049
Time per case
3m 35s
26.0s (better)
Quantization
FP8
—
Harness
openrouter
openrouter

The race

4 lead changes

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

DeepSeek V4.1 FlashDeepSeek V4.1 Flash 1017
025507510050100150Perfect run6456

Every test case

153 test cases

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

21 won by DeepSeek V4.1 Flash10 won by DeepSeek V4.1 Flash 1017122 tied