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LFM3-1.7B vs MAI-Code-1.1-Flash

LFM3-1.7B and MAI-Code-1.1-Flash are closely matched at 25.0 and 27.6 on the LLM Stats Score.

Liquid AI · Microsoft · Updated for 2026

Which is better?

LFM3-1.7B and MAI-Code-1.1-Flash are closely matched on the overall LLM Stats Score at 25.0 and 27.6.

In the 2 individual benchmarks reported for both models, MAI-Code-1.1-Flash wins 2; 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 LFM3-1.7B

  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose MAI-Code-1.1-Flash

  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
MAI-Code-1.1-Flash
Microsoft
Core performance indexes
LLM Stats Score
25.0
#191
27.6
#171
Reasoning
20.8
#216
27.4
#167
Coding
7.4
#218
18.8
#136
Agents
18.1
#97
11.4
#140
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.20 / M
Output price
— / M
$1.20 / M
Context window
—
256,000

Individual benchmarks

20 reported for LFM3-1.7B · 2 for MAI-Code-1.1-Flash

2 shared

LFM3-1.7B outperforms in 0 benchmarks, while MAI-Code-1.1-Flash is better at 2 benchmarks (SWE-Bench Verified, Terminal-Bench 2.1).

MAI-Code-1.1-Flash significantly outperforms across most benchmarks.

Fri Nov 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

136.3B diff

MAI-Code-1.1-Flash has 136.3B more parameters than LFM3-1.7B, making it 7876.9% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Microsoft
MAI-Code-1.1-Flash
138.0Bparameters
1.7B
LFM3-1.7B
138.0B
MAI-Code-1.1-Flash

Context Window

Maximum input and output token capacity

Only MAI-Code-1.1-Flash specifies input context (256,000 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Microsoft
MAI-Code-1.1-Flash
Input256,000 tokens
Output- tokens
Fri Nov 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MAI-Code-1.1-Flash supports multimodal inputs, whereas LFM3-1.7B does not.

MAI-Code-1.1-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-1.7B

Text
Images
Audio
Video

MAI-Code-1.1-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while MAI-Code-1.1-Flash uses a proprietary license.

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

LFM3-1.7B

LFM Open License v1.0

Open weights

MAI-Code-1.1-Flash

Proprietary

Closed source

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while MAI-Code-1.1-Flash was released on 2026-08-11.

LFM3-1.7B is 3 months newer than MAI-Code-1.1-Flash.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

2mo newer
MAI-Code-1.1-Flash

Aug 11, 2026

2 months ago

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 LFM3-1.7B and MAI-Code-1.1-Flash side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
MAI-Code-1.1-Flash
Open in Playground

FAQ

Common questions about LFM3-1.7B vs MAI-Code-1.1-Flash.

Which is better, LFM3-1.7B or MAI-Code-1.1-Flash?

LFM3-1.7B and MAI-Code-1.1-Flash are closely matched on the LLM Stats Score at 25.0 and 27.6. LFM3-1.7B is made by Liquid AI and MAI-Code-1.1-Flash is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LFM3-1.7B compare to MAI-Code-1.1-Flash in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. MAI-Code-1.1-Flash scores SWE-Bench Verified: 72.6%, Terminal-Bench 2.1: 62.9%.

What are the context window sizes for LFM3-1.7B and MAI-Code-1.1-Flash?

LFM3-1.7B supports an unknown number of tokens and MAI-Code-1.1-Flash supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between LFM3-1.7B and MAI-Code-1.1-Flash?

Key differences include LLM Stats Score (25.0 vs 27.6), multimodal support (no vs yes), licensing (LFM Open License v1.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and MAI-Code-1.1-Flash?

LFM3-1.7B is developed by Liquid AI and MAI-Code-1.1-Flash is developed by Microsoft.

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