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Granite 3.3 8B Instruct vs LFM3-1.7B

LFM3-1.7B leads the LLM Stats Score 25.0 to 1.9.

IBM · Liquid AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 1.9, ranking #192 overall.

In the 1 individual benchmarks reported for both models, LFM3-1.7B wins 1; 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 Granite 3.3 8B Instruct

  • you want predictable pricing at $0.50/M input and $0.50/M output

Choose LFM3-1.7B

  • overall performance matters — it scores 25.0 and ranks #192 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
1.9
#356
25.0
#192
2.3
#344
20.8
#216
11.0
#190
7.4
#218
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.50 / M
— / M
Output price
$0.50 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Granite 3.3 8B Instruct
LFM3-1.7B
2.6#313
7.6#285
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for Granite 3.3 8B Instruct · 20 for LFM3-1.7B

1 shared

Granite 3.3 8B Instruct outperforms in 0 benchmarks, while LFM3-1.7B is better at 1 benchmark (IFEval).

LFM3-1.7B significantly outperforms across most benchmarks.

Tue Nov 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

6.3B diff

Granite 3.3 8B Instruct has 6.3B more parameters than LFM3-1.7B, making it 362.4% larger.

IBM
Granite 3.3 8B Instruct
8.0Bparameters
Liquid AI
LFM3-1.7B
1.7Bparameters
8.0B
Granite 3.3 8B Instruct
1.7B
LFM3-1.7B

Context Window

Maximum input and output token capacity

Only Granite 3.3 8B Instruct specifies input context (128,000 tokens). Only Granite 3.3 8B Instruct specifies output context (8,192 tokens).

IBM
Granite 3.3 8B Instruct
Input128,000 tokens
Output8,192 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Granite 3.3 8B Instruct supports multimodal inputs, whereas LFM3-1.7B does not.

Granite 3.3 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Granite 3.3 8B Instruct

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

Granite 3.3 8B Instruct is licensed under Apache 2.0, while LFM3-1.7B uses LFM Open License v1.0.

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

Granite 3.3 8B Instruct

Apache 2.0

Open weights

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

Granite 3.3 8B Instruct was released on 2025-04-16, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 19 months newer than Granite 3.3 8B Instruct.

Granite 3.3 8B Instruct

Apr 16, 2025

1.5 years ago

LFM3-1.7B

Oct 27, 2026

6 days ago

1.5yr newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while LFM3-1.7B's cutoff date is not specified.

We can confirm Granite 3.3 8B Instruct's training data extends to 2024-04-01, but cannot make a direct comparison without LFM3-1.7B's cutoff date.

Granite 3.3 8B Instruct

Apr 2024

LFM3-1.7B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Granite 3.3 8B Instruct and LFM3-1.7B side-by-side, then vote on the output you prefer.

Granite 3.3 8B Instruct
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about Granite 3.3 8B Instruct vs LFM3-1.7B.

Which is better, Granite 3.3 8B Instruct or LFM3-1.7B?

LFM3-1.7B leads the LLM Stats Score 25.0 to 1.9. Granite 3.3 8B Instruct is made by IBM and LFM3-1.7B 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 Granite 3.3 8B Instruct compare to LFM3-1.7B in benchmarks?

Granite 3.3 8B Instruct scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, GSM8k: 80.9%. LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%.

What are the context window sizes for Granite 3.3 8B Instruct and LFM3-1.7B?

Granite 3.3 8B Instruct supports 128K tokens and LFM3-1.7B 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 Granite 3.3 8B Instruct and LFM3-1.7B?

Key differences include LLM Stats Score (1.9 vs 25.0), multimodal support (yes vs no), licensing (Apache 2.0 vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Granite 3.3 8B Instruct and LFM3-1.7B?

Granite 3.3 8B Instruct is developed by IBM and LFM3-1.7B is developed by Liquid AI.