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Kimi K2.7 Code vs MiMo-V2.6-Flash

Kimi K2.7 Code and MiMo-V2.6-Flash are closely matched at 39.5 and 45.6 on the LLM Stats Score. MiMo-V2.6-Flash is 7.8x cheaper per token.

Moonshot AI · Xiaomi · Updated for 2026

Which is better?

Kimi K2.7 Code and MiMo-V2.6-Flash are closely matched on the overall LLM Stats Score at 39.5 and 45.6.

The models split the 2 individual benchmarks reported for both models evenly.

On price, MiMo-V2.6-Flash is roughly 7.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2.6-Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Kimi K2.7 Code

  • you want predictable pricing at $0.68/M input and $3.40/M output

Choose MiMo-V2.6-Flash

  • cost matters — it's about 7.8x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Kimi K2.7 Code
Moonshot AI
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
39.5
#59
45.6
#29
Reasoning
34.2
#92
42.5
#45
Coding
30.9
#50
36.7
#21
Agents
27.1
#46
33.1
#26
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.68 / M
$0.14 / M
Output price
$3.40 / M
$0.28 / M
Context window
262,144
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2.7 Code
MiMo-V2.6-Flash
Tool use
23.1#38
24.7#29
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Kimi K2.7 Code · 16 for MiMo-V2.6-Flash

2 shared

Kimi K2.7 Code outperforms in 1 benchmarks (Program Bench), while MiMo-V2.6-Flash is better at 1 benchmark (DeepSWE 1.1).

Both models are evenly matched across the benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

MiMo-V2.6-Flash costs less

For input processing, Kimi K2.7 Code ($0.68/1M tokens) is 4.9x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).

For output processing, Kimi K2.7 Code ($3.40/1M tokens) is 12.1x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).

In conclusion, Kimi K2.7 Code is more expensive than MiMo-V2.6-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
Moonshot AI
Kimi K2.7 Code
Input tokens$0.68
Output tokens$3.40
Best providerDeepinfra
Xiaomi
MiMo-V2.6-Flash
Input tokens$0.14
Output tokens$0.28
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

691.0B diff

Kimi K2.7 Code has 691.0B more parameters than MiMo-V2.6-Flash, making it 223.6% larger.

Moonshot AI
Kimi K2.7 Code
1.0Tparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
1000.0B
Kimi K2.7 Code
309.0B
MiMo-V2.6-Flash

Context Window

Maximum input and output token capacity

MiMo-V2.6-Flash accepts 1,048,576 input tokens compared to Kimi K2.7 Code's 262,144 tokens. Only Kimi K2.7 Code specifies output context (262,144 tokens).

Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output262,144 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

Both Kimi K2.7 Code and MiMo-V2.6-Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Kimi K2.7 Code

Text
Images
Audio
Video

MiMo-V2.6-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.7 Code is licensed under Modified MIT License, while MiMo-V2.6-Flash uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Kimi K2.7 Code

Modified MIT License

Open weights

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

Kimi K2.7 Code was released on 2026-06-12, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 3 months newer than Kimi K2.7 Code.

Kimi K2.7 Code

Jun 12, 2026

3 months ago

MiMo-V2.6-Flash

Sep 22, 2026

0 days ago

3mo 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

Provider Availability

Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. MiMo-V2.6-Flash is available from Xiaomi.

Kimi K2.7 Code

deepinfra logo
Deepinfra
Input Price:Input: $0.68/1MOutput Price:Output: $3.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
moonshot logo
Unknown Organization
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
novita logo
Novita
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
together logo
Together
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M

MiMo-V2.6-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Kimi K2.7 Code and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

Kimi K2.7 Code
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about Kimi K2.7 Code vs MiMo-V2.6-Flash.

Which is better, Kimi K2.7 Code or MiMo-V2.6-Flash?

Kimi K2.7 Code and MiMo-V2.6-Flash are closely matched on the LLM Stats Score at 39.5 and 45.6. Kimi K2.7 Code 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 K2.7 Code compare to MiMo-V2.6-Flash in benchmarks?

Kimi K2.7 Code scores MCP-Mark: 81.1%, MCP Atlas: 76.0%, LiveBench: 71.9%, Kimi Code Bench v2: 62.0%, Program Bench: 53.6%. 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%.

Is Kimi K2.7 Code cheaper than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is 4.9x cheaper for input tokens. Kimi K2.7 Code costs $0.68/M input and $3.40/M output via deepinfra. MiMo-V2.6-Flash costs $0.14/M input and $0.28/M output via xiaomi.

What are the context window sizes for Kimi K2.7 Code and MiMo-V2.6-Flash?

Kimi K2.7 Code supports 262K 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 K2.7 Code and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (39.5 vs 45.6), context window (262K vs 1.0M), input pricing ($0.68 vs $0.14/M), licensing (Modified MIT License vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.7 Code and MiMo-V2.6-Flash?

Kimi K2.7 Code is developed by Moonshot AI and MiMo-V2.6-Flash is developed by Xiaomi.

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