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LFM3-1.7B vs Qwen2.5 7B Instruct

LFM3-1.7B leads the LLM Stats Score 25.0 to 2.0.

Liquid AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 2.0, ranking #192 overall.

In the 2 individual benchmarks reported for both models, LFM3-1.7B 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

  • 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 2 of 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen2.5 7B Instruct

  • you want predictable pricing at $0.30/M input and $0.30/M output

At a glance

The differences that matter most.

Core performance indexes
25.0
#192
2.0
#353
20.8
#216
2.1
#346
7.4
#218
3.0
#254
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
$0.30 / M
Output price
— / M
$0.30 / M
Context window
—
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-1.7B
Qwen2.5 7B Instruct
7.6#285
8.0#282
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 14 for Qwen2.5 7B Instruct

2 shared

LFM3-1.7B outperforms in 2 benchmarks (GPQA, IFEval), while Qwen2.5 7B Instruct is better at 0 benchmarks.

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

5.9B diff

Qwen2.5 7B Instruct has 5.9B more parameters than LFM3-1.7B, making it 339.9% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
1.7B
LFM3-1.7B
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Nov 03 2026 • llm-stats.com

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while Qwen2.5 7B Instruct uses Apache 2.0.

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

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Qwen2.5 7B Instruct was released on 2024-09-19.

LFM3-1.7B is 26 months newer than Qwen2.5 7B Instruct.

LFM3-1.7B

Oct 27, 2026

5 days ago

2.1yr newer
Qwen2.5 7B Instruct

Sep 19, 2024

2.1 years 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 Qwen2.5 7B Instruct side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Qwen2.5 7B Instruct
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Qwen2.5 7B Instruct.

Which is better, LFM3-1.7B or Qwen2.5 7B Instruct?

LFM3-1.7B leads the LLM Stats Score 25.0 to 2.0. LFM3-1.7B is made by Liquid AI and Qwen2.5 7B Instruct is made by Alibaba Cloud / Qwen Team. 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 Qwen2.5 7B Instruct in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

What are the context window sizes for LFM3-1.7B and Qwen2.5 7B Instruct?

LFM3-1.7B supports an unknown number of tokens and Qwen2.5 7B Instruct supports 131K 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 Qwen2.5 7B Instruct?

Key differences include LLM Stats Score (25.0 vs 2.0), licensing (LFM Open License v1.0 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and Qwen2.5 7B Instruct?

LFM3-1.7B is developed by Liquid AI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.