DeepSeek V4.1 Flash vs GPT-6 Luna
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 4.0× as many thinking tokens per test case.
TaskADeepSeek V4.1 FlashBGPT-6 Luna
Overall
643m 35s
6149.1s
Agents
464m 42s
561m 18s
Structured Extraction
862m 8s
9514.5s
Coding
514m 55s
732m 18s
Grounded Answers
762m 17s
6715.6s
Instruction Following
894m 24s
8432.3s
Business Logic
814m 1s
3743.1s
Security & permissions
693m 3s
6224.5s
Diagnosis & investigation
172m 8s
1737.7s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecADeepSeek V4.1 FlashBGPT-6 Luna
Speed
30 tok/s
90 tok/s (better)
Machine
Hosted
Hosted
Memory at 32K
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Context
1M
1.1M (better)
Cost per run
$0.39
$0.10 (better)
Cost per case
$0.0026
$0.00067 (better)
Time per case
3m 35s
49.1s (better)
Quantization
FP8
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Harness
openrouter
openrouter
The race
Each model's running score as the test cases go by. The dashed line is a perfect run.
Every test case
Each square is one test case, colored by the model that scored higher.
Agents
Structured Extraction
Coding
Grounded Answers
Instruction Following
Business Logic
Security & permissions
Diagnosis & investigation