Mellum2.1 Thinking vs MiMo-V2.6-Pro

Overall
9
vs
Overall
48

MiMo-V2.6-Pro is clearly better. It wins 74 of the 77 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. Mellum2.1 Thinking spends 1.2× as many thinking tokens per test case.

Thinking tokensAnswer tokens
TaskAB
Overall
91m 56s
10.3K, 63% thinking5.9K, 89% thinking
482m 13s
Agents
92m 3s
10.8K, 93% thinking8.7K, 84% thinking
474m 48s
Structured Extraction
51m 36s
8.3K, 51% thinking3.4K, 87% thinking
601m 26s
Coding
52m 11s
11.3K, 38% thinking10.7K, 95% thinking
242m 58s
Grounded Answers
131m 24s
7.3K, 62% thinking3.2K, 89% thinking
621m 9s
Instruction Following
283m 10s
17.3K, 63% thinking4.5K, 86% thinking
591m 23s
Business Logic
01m 39s
9K, 50% thinking7.1K, 92% thinking
571m 52s
Security & permissions
81m 40s
9.1K, 75% thinking3.6K, 86% thinking
711m 41s
Diagnosis & investigation
01m 15s
6.8K, 98% 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
55 tok/s
Machine
Apple M5 Pro, 48 GB
Hosted
Memory at 32K
12.9 GB
—
Context
128K
1.1M (better)
Cost per run
$2.46 est.
$1.80 (better)
Cost per case
$0.016 est.
$0.012 (better)
Time per case
1m 56s (better)
2m 13s
Quantization
Q8_0
BF16
Harness
llama.cpp
openrouter

The race

No lead changes

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

Mellum2.1 ThinkingMiMo-V2.6-Pro
025507510050100150Perfect run948

Every test case

153 test cases

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

3 won by Mellum2.1 Thinking74 won by MiMo-V2.6-Pro76 tied