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Kimi K2.6 vs LFM3-VL-2B

Kimi K2.6 leads the LLM Stats Score 43.2 to 15.5.

Moonshot AI · Liquid AI · Updated for 2026

Which is better?

Kimi K2.6 leads the overall LLM Stats Score 43.2 to 15.5, ranking #59 overall.

In the 3 individual benchmarks reported for both models, Kimi K2.6 wins 3; this is a narrower head-to-head signal than the composite indexes.

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

Choose Kimi K2.6

  • overall performance matters — it scores 43.2 and ranks #59 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

Choose LFM3-VL-2B

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
43.2
#59
15.5
#265
43.5
#53
16.2
#252
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.75 / M
— / M
Output price
$3.50 / M
— / M
Context window
262,144
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Kimi K2.6
LFM3-VL-2B
36.6#40
19.0#187
29.0#45
11.4#133
31.0#34
12.6#124
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

28 reported for Kimi K2.6 · 41 for LFM3-VL-2B

3 shared

Kimi K2.6 outperforms in 3 benchmarks (CharXiv-R, MathVision, MMMU-Pro), while LFM3-VL-2B is better at 0 benchmarks.

Kimi K2.6 significantly outperforms across most benchmarks.

Thu Nov 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

998.1B diff

Kimi K2.6 has 998.1B more parameters than LFM3-VL-2B, making it 51983.3% larger.

Moonshot AI
Kimi K2.6
1.0Tparameters
Liquid AI
LFM3-VL-2B
1.9Bparameters
1000.0B
Kimi K2.6
1.9B
LFM3-VL-2B

Context Window

Maximum input and output token capacity

Only Kimi K2.6 specifies input context (262,144 tokens). Only Kimi K2.6 specifies output context (131,072 tokens).

Moonshot AI
Kimi K2.6
Input262,144 tokens
Output131,072 tokens
Liquid AI
LFM3-VL-2B
Input- tokens
Output- tokens
Thu Nov 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Kimi K2.6 and LFM3-VL-2B support multimodal inputs.

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

Kimi K2.6

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.6 is licensed under Modified MIT License, while LFM3-VL-2B uses LFM Open License v1.0.

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

Kimi K2.6

Modified MIT License

Open weights

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

Kimi K2.6 was released on 2026-04-20, while LFM3-VL-2B was released on 2026-10-27.

LFM3-VL-2B is 6 months newer than Kimi K2.6.

Kimi K2.6

Apr 20, 2026

6 months ago

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

6mo 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?

Judge for yourself.

Run your own prompts against Kimi K2.6 and LFM3-VL-2B side-by-side, then vote on the output you prefer.

Kimi K2.6
✓ Preferred
LFM3-VL-2B
Open in Playground

FAQ

Common questions about Kimi K2.6 vs LFM3-VL-2B.

Which is better, Kimi K2.6 or LFM3-VL-2B?

Kimi K2.6 leads the LLM Stats Score 43.2 to 15.5. Kimi K2.6 is made by Moonshot AI and LFM3-VL-2B is made by Liquid AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Kimi K2.6 compare to LFM3-VL-2B in benchmarks?

Kimi K2.6 scores V*: 96.9%, AIME 2026: 96.4%, MathVision: 93.2%, HMMT Feb 26: 92.7%, GPQA: 90.5%. LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%.

What are the context window sizes for Kimi K2.6 and LFM3-VL-2B?

Kimi K2.6 supports 262K tokens and LFM3-VL-2B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2.6 and LFM3-VL-2B?

Key differences include LLM Stats Score (43.2 vs 15.5), licensing (Modified MIT License vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.6 and LFM3-VL-2B?

Kimi K2.6 is developed by Moonshot AI and LFM3-VL-2B is developed by Liquid AI.