DeepSeek V4.1 Flash vs Underdog Saluki 27B

Overall
64
vs
Overall
33

DeepSeek V4.1 Flash is clearly better. It wins 57 of the 63 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% thinking6.9K, 84% thinking
335m 15s
Agents
464m 42s
6.1K, 82% thinking11.8K, 97% thinking
409m 2s
Structured Extraction
862m 8s
4.4K, 94% thinking4.4K, 92% thinking
433m 17s
Coding
514m 55s
9.7K, 95% thinking9.2K, 49% thinking
166m 54s
Grounded Answers
762m 17s
3.9K, 90% thinking4.5K, 92% thinking
433m 22s
Instruction Following
894m 24s
7.5K, 94% thinking8K, 94% thinking
466m 5s
Business Logic
814m 1s
7K, 97% thinking5.2K, 81% thinking
333m 55s
Security & permissions
693m 3s
4.4K, 81% thinking4.9K, 91% thinking
433m 47s
Diagnosis & investigation
172m 8s
3.2K, 67% thinking8.7K, 94% thinking
06m 39s

What you'd run

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

SpecAB
Speed
30 tok/s
23 tok/s
Machine
Hosted
Apple M5 Pro, 48 GB
Memory at 32K
—
10.2 GB
Context
1M (better)
256K
Cost per run
$0.39
Not measured
Cost per case
$0.0026
Not measured
Time per case
3m 35s (better)
5m 15s
Quantization
FP8
IQ2_XS
Harness
openrouter
llama.cpp

The race

1 lead change

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

DeepSeek V4.1 FlashUnderdog Saluki 27B
025507510050100150Perfect run6433

Every test case

153 test cases

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

57 won by DeepSeek V4.1 Flash6 won by Underdog Saluki 27B90 tied