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LFM3-1.7B vs Qwen2.5-Coder 32B Instruct

LFM3-1.7B leads the LLM Stats Score 25.0 to 1.6.

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

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 1.6, ranking #191 overall.

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 #191 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen2.5-Coder 32B Instruct

  • you want predictable pricing at $0.09/M input and $0.09/M output

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
25.0
#191
1.6
#357
Reasoning
20.8
#216
1.5
#347
Coding
7.4
#218
9.9
#197
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.09 / M
Output price
— / M
$0.09 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-1.7B
Qwen2.5-Coder 32B Instruct
Math
7.6#285
4.9#297
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 15 for Qwen2.5-Coder 32B Instruct

No common benchmarks found

LFM3-1.7B and Qwen2.5-Coder 32B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

30.3B diff

Qwen2.5-Coder 32B Instruct has 30.3B more parameters than LFM3-1.7B, making it 1749.7% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
1.7B
LFM3-1.7B
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Wed Nov 04 2026 • llm-stats.com

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while Qwen2.5-Coder 32B 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-Coder 32B 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-Coder 32B Instruct was released on 2024-09-19.

LFM3-1.7B is 26 months newer than Qwen2.5-Coder 32B Instruct.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

2.1yr newer
Qwen2.5-Coder 32B 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-Coder 32B Instruct side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Qwen2.5-Coder 32B Instruct
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Qwen2.5-Coder 32B Instruct.

Which is better, LFM3-1.7B or Qwen2.5-Coder 32B Instruct?

LFM3-1.7B leads the LLM Stats Score 25.0 to 1.6. LFM3-1.7B is made by Liquid AI and Qwen2.5-Coder 32B 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-Coder 32B 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-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

What are the context window sizes for LFM3-1.7B and Qwen2.5-Coder 32B Instruct?

LFM3-1.7B supports an unknown number of tokens and Qwen2.5-Coder 32B Instruct supports 128K 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-Coder 32B Instruct?

Key differences include LLM Stats Score (25.0 vs 1.6), 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-Coder 32B Instruct?

LFM3-1.7B is developed by Liquid AI and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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