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Kimi K2 7 Code Highspeed vs LFM3-1.7B (free)

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Moonshot

Model

Kimi K2 7 Code Highspeed

Context window

262K

262,144 tokens · ~197K words

Model page
Liquid

Model

LFM3-1.7B (free)

Tool calling

Context window

262K

262,144 tokens · ~197K words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

Kimi K2 7 Code Highspeed262K
LFM3-1.7B (free)262K

Same context window size for both models.

Kimi K2 7 Code Highspeed and LFM3-1.7B (free) have identical context windows (262K tokens).

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecKimi K2 7 Code HighspeedLFM3-1.7B (free)
Context window262,144 tokens (262K)262,144 tokens (262K)
Max output tokensN/A8,192 tokens (8K)
Speed tierBalancedFast
VisionNoNo
Function callingNoYes
Extended thinkingNoYes
Prompt cachingYesNo
Batch APINoNo
Release dateN/ANov 2026

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderKimi K2 7 Code Highspeed inKimi K2 7 Code Highspeed outLFM3-1.7B (free) inLFM3-1.7B (free) out
Gmi$1.90/M$8.00/M——

Frequently asked questions

LFM3-1.7B (free) has a larger context window: 262K tokens vs 262K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model