DeepSeek V4.1 Flash vs MiniMax M3.1 Flash

Overall
64
vs
Overall
35

DeepSeek V4.1 Flash is clearly better. It wins 58 of the 67 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. DeepSeek V4.1 Flash spends 3.2× as many thinking tokens per test case.

Thinking tokensAnswer tokens
TaskAB
Overall
643m 35s
6K, 91% thinking2.3K, 73% thinking
3521.3s
Agents
464m 42s
6.1K, 82% thinking3.1K, 71% thinking
3637.0s
Structured Extraction
862m 8s
4.4K, 94% thinking1.1K, 74% thinking
487.96s
Coding
514m 55s
9.7K, 95% thinking4.6K, 66% thinking
5840.6s
Grounded Answers
762m 17s
3.9K, 90% thinking1.2K, 71% thinking
339.75s
Instruction Following
894m 24s
7.5K, 94% thinking1.7K, 70% thinking
5314.7s
Business Logic
814m 1s
7K, 97% thinking3.5K, 94% thinking
2425.9s
Security & permissions
693m 3s
4.4K, 81% thinking1.3K, 60% thinking
3012.7s
Diagnosis & investigation
172m 8s
3.2K, 67% thinking2.1K, 51% thinking
022.8s

What you'd run

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

SpecAB
Speed
30 tok/s
135 tok/s (better)
Machine
Hosted
Hosted
Memory at 32K
—
—
Context
1M
1M
Cost per run
$0.39
Not measured
Cost per case
$0.0026
Not measured
Time per case
3m 35s
21.3s (better)
Quantization
FP8
—
Harness
openrouter
openrouter

The race

3 lead changes

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

DeepSeek V4.1 FlashMiniMax M3.1 Flash
025507510050100150Perfect run6435

Every test case

153 test cases

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

58 won by DeepSeek V4.1 Flash9 won by MiniMax M3.1 Flash86 tied