MiMo-V2.6-Pro vs Spark X2.6 4B

Overall
48
vs
Overall
15

MiMo-V2.6-Pro is clearly better. It wins 67 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. Spark X2.6 4B spends 1.3× as many thinking tokens per test case.

Thinking tokensAnswer tokens
TaskAB
Overall
482m 13s
5.9K, 89% thinking8.2K, 84% thinking
151m 3s
Agents
474m 48s
8.7K, 84% thinking11.5K, 97% thinking
141m 32s
Structured Extraction
601m 26s
3.4K, 87% thinking5.3K, 78% thinking
1039.5s
Coding
242m 58s
10.7K, 95% thinking9.1K, 48% thinking
41m 8s
Grounded Answers
621m 9s
3.2K, 89% thinking6.6K, 86% thinking
1050.2s
Instruction Following
591m 23s
4.5K, 86% thinking11.9K, 90% thinking
371m 29s
Business Logic
571m 52s
7.1K, 92% thinking4.9K, 86% thinking
1036.3s
Security & permissions
711m 41s
3.6K, 86% thinking7K, 94% thinking
3154.3s
Diagnosis & investigation
02m 54s
6.2K, 86% thinking11.6K, 98% thinking
01m 30s

What you'd run

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

SpecAB
Speed
55 tok/s
136 tok/s
Machine
Hosted
RTX 5090, 32 GB
Memory at 32K
—
9.4 GB
Context
1.1M (better)
605K
Cost per run
$1.80
$1.61 est. (better)
Cost per case
$0.012
$0.011 est. (better)
Time per case
2m 13s
1m 3s (better)
Quantization
BF16
BF16
Harness
openrouter
llama.cpp

The race

No lead changes

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

MiMo-V2.6-ProSpark X2.6 4B
0255075100501001504815

Every test case

153 test cases

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

67 won by MiMo-V2.6-Pro4 won by Spark X2.6 4B82 tied