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Kimi K2-Instruct-0905 vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 21.6.

Moonshot AI · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 21.6, ranking #29 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Kimi K2-Instruct-0905

  • you are already invested in the Moonshot AI ecosystem

Choose MiMo-V2.6-Flash

  • overall performance matters — it scores 45.6 and ranks #29 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Kimi K2-Instruct-0905
Moonshot AI
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
21.6
#189
45.6
#29
Reasoning
21.8
#179
42.5
#45
Coding
9.7
#172
36.7
#21
Agents
-4.2
#183
33.1
#26
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.14 / M
Output price
— / M
$0.28 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2-Instruct-0905
MiMo-V2.6-Flash
Tool use
6.4#145
24.7#29
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

29 reported for Kimi K2-Instruct-0905 · 16 for MiMo-V2.6-Flash

No common benchmarks found

Kimi K2-Instruct-0905 and MiMo-V2.6-Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

691.0B diff

Kimi K2-Instruct-0905 has 691.0B more parameters than MiMo-V2.6-Flash, making it 223.6% larger.

Moonshot AI
Kimi K2-Instruct-0905
1.0Tparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
1000.0B
Kimi K2-Instruct-0905
309.0B
MiMo-V2.6-Flash

Context Window

Maximum input and output token capacity

Only MiMo-V2.6-Flash specifies input context (1,048,576 tokens).

Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Xiaomi
MiMo-V2.6-Flash
Input1,048,576 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiMo-V2.6-Flash supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.

MiMo-V2.6-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2-Instruct-0905

Text
Images
Audio
Video

MiMo-V2.6-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

Kimi K2-Instruct-0905

MIT

Open weights

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

Kimi K2-Instruct-0905 was released on 2025-09-05, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 13 months newer than Kimi K2-Instruct-0905.

Kimi K2-Instruct-0905

Sep 5, 2025

1.0 years ago

MiMo-V2.6-Flash

Sep 22, 2026

0 days ago

1.0yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Kimi K2-Instruct-0905 and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

Kimi K2-Instruct-0905
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about Kimi K2-Instruct-0905 vs MiMo-V2.6-Flash.

Which is better, Kimi K2-Instruct-0905 or MiMo-V2.6-Flash?

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 21.6. Kimi K2-Instruct-0905 is made by Moonshot AI and MiMo-V2.6-Flash is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Kimi K2-Instruct-0905 compare to MiMo-V2.6-Flash in benchmarks?

Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%. MiMo-V2.6-Flash scores CyberGym: 95.1%, Terminal-Bench 2.1: 87.6%, OSWorld-Verified: 80.8%, MiMo Cyber Bench: 77.2%, Toolathlon-Verified: 73.6%.

What are the context window sizes for Kimi K2-Instruct-0905 and MiMo-V2.6-Flash?

Kimi K2-Instruct-0905 supports an unknown number of tokens and MiMo-V2.6-Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2-Instruct-0905 and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (21.6 vs 45.6), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2-Instruct-0905 and MiMo-V2.6-Flash?

Kimi K2-Instruct-0905 is developed by Moonshot AI and MiMo-V2.6-Flash is developed by Xiaomi.

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