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

Overall
9
vs
Overall
45

MiMo-V2.6-Flash is clearly better. It wins 68 of the 71 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 1.7× as many thinking tokens per test case.

Thinking tokensAnswer tokens
TaskAB
Overall
91m 56s
10.3K, 63% thinking4.2K, 92% thinking
451m 21s
Agents
92m 3s
10.8K, 93% thinking2.2K, 86% thinking
381m 19s
Structured Extraction
51m 36s
8.3K, 51% thinking2.6K, 91% thinking
6238.0s
Coding
52m 11s
11.3K, 38% thinking9.9K, 97% thinking
242m 40s
Grounded Answers
131m 24s
7.3K, 62% thinking2.6K, 89% thinking
6242.1s
Instruction Following
283m 10s
17.3K, 63% thinking4.8K, 90% thinking
641m 2s
Business Logic
01m 39s
9K, 50% thinking4.4K, 96% thinking
4356.4s
Security & permissions
81m 40s
9.1K, 75% thinking3.8K, 88% thinking
662m 6s
Diagnosis & investigation
01m 15s
6.8K, 98% thinking1.5K, 83% thinking
01m 33s

What you'd run

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

SpecAB
Speed
90 tok/s
66 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.
$0.33 (better)
Cost per case
$0.016 est.
$0.0021 (better)
Time per case
1m 56s
1m 21s (better)
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-Flash
025507510050100150Perfect run945

Every test case

153 test cases

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

3 won by Mellum2.1 Thinking68 won by MiMo-V2.6-Flash82 tied