GPT-6 Luna vs MiMo-V2.6-Pro

Overall
61
vs
Overall
48

GPT-6 Luna is clearly better. It wins 42 of the 59 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. MiMo-V2.6-Pro spends 3.8× as many thinking tokens per test case.

Thinking tokensAnswer tokens
TaskAB
Overall
6149.1s
1.9K, 73% thinking5.9K, 89% thinking
482m 13s
Agents
561m 18s
1.3K, 67% thinking8.7K, 84% thinking
474m 48s
Structured Extraction
9514.5s
999, 72% thinking3.4K, 87% thinking
601m 26s
Coding
732m 18s
3.6K, 60% thinking10.7K, 95% thinking
242m 58s
Grounded Answers
6715.6s
1.1K, 72% thinking3.2K, 89% thinking
621m 9s
Instruction Following
8432.3s
2K, 74% thinking4.5K, 86% thinking
591m 23s
Business Logic
3743.1s
3.2K, 93% thinking7.1K, 92% thinking
571m 52s
Security & permissions
6224.5s
1K, 68% thinking3.6K, 86% thinking
711m 41s
Diagnosis & investigation
1737.7s
1.1K, 68% thinking6.2K, 86% thinking
02m 54s

What you'd run

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

SpecAB
Speed
90 tok/s (better)
55 tok/s
Machine
Hosted
Hosted
Memory at 32K
—
—
Context
1.1M
1.1M
Cost per run
$0.10 (better)
$1.80
Cost per case
$0.00067 (better)
$0.012
Time per case
49.1s (better)
2m 13s
Quantization
—
BF16
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.

GPT-6 LunaMiMo-V2.6-Pro
025507510050100150Perfect run6148

Every test case

153 test cases

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

42 won by GPT-6 Luna17 won by MiMo-V2.6-Pro94 tied