DeepSeek V4.1 Flash 1017 vs GPT-6 Luna

Overall
56
vs
Overall
61

Too close to call. GPT-6 Luna wins 28 of the 49 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 1017 spends 3.5× as many thinking tokens per test case.

Thinking tokensAnswer tokens
TaskAB
Overall
5626.0s
5.3K, 91% thinking1.9K, 73% thinking
6149.1s
Agents
5826.7s
3.3K, 71% thinking1.3K, 67% thinking
561m 18s
Structured Extraction
8117.2s
4.2K, 93% thinking999, 72% thinking
9514.5s
Coding
4840.8s
9.4K, 95% thinking3.6K, 60% thinking
732m 18s
Grounded Answers
7119.8s
4.4K, 91% thinking1.1K, 72% thinking
6715.6s
Instruction Following
7625.6s
5.5K, 91% thinking2K, 74% thinking
8432.3s
Business Logic
6726.6s
6.6K, 97% thinking3.2K, 93% thinking
3743.1s
Security & permissions
4826.6s
4.7K, 87% thinking1K, 68% thinking
6224.5s
Diagnosis & investigation
020.2s
3.2K, 74% thinking1.1K, 68% thinking
1737.7s

What you'd run

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

SpecAB
Speed
243 tok/s (better)
90 tok/s
Machine
Hosted
Hosted
Memory at 32K
—
—
Context
1M
1.1M (better)
Cost per run
$0.75
$0.10 (better)
Cost per case
$0.0049
$0.00067 (better)
Time per case
26.0s (better)
49.1s
Quantization
—
—
Harness
openrouter
openrouter

The race

6 lead changes

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

DeepSeek V4.1 Flash 1017GPT-6 Luna
025507510050100150Perfect run5661

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 Flash 101728 won by GPT-6 Luna104 tied