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LFM3-1.7B vs Qwen3.6-35B-A3B

Qwen3.6-35B-A3B leads the LLM Stats Score 31.7 to 25.0.

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

Which is better?

Qwen3.6-35B-A3B leads the overall LLM Stats Score 31.7 to 25.0, ranking #137 overall.

In the 8 individual benchmarks reported for both models, Qwen3.6-35B-A3B wins 6; 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

  • your work emphasizes agents — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3.6-35B-A3B

  • overall performance matters — it scores 31.7 and ranks #137 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 6 of 8 exact shared results

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
Qwen3.6-35B-A3B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
25.0
#191
31.7
#137
Reasoning
20.8
#216
32.4
#129
Coding
7.4
#218
19.2
#132
Agents
18.1
#97
11.5
#138
Cost, coverage & limits
Benchmark wins
2 of 8
6 of 8
Input price
— / M
$0.10 / M
Output price
— / M
$0.95 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
LFM3-1.7B
Qwen3.6-35B-A3B
Math
7.6#285
30.7#81
Tool use
14.3#119
11.0#143
Long context
5.1#112
16.9#47
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 49 for Qwen3.6-35B-A3B

8 shared

LFM3-1.7B outperforms in 2 benchmarks (Claw-Eval, TAU3-Bench), while Qwen3.6-35B-A3B is better at 6 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6, MCP Atlas, SWE-bench Multilingual, SWE-Bench Verified).

Qwen3.6-35B-A3B shows notably better performance in the majority of benchmarks.

Sat Nov 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

33.3B diff

Qwen3.6-35B-A3B has 33.3B more parameters than LFM3-1.7B, making it 1923.1% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Alibaba Cloud / Qwen Team
Qwen3.6-35B-A3B
35.0Bparameters
1.7B
LFM3-1.7B
35.0B
Qwen3.6-35B-A3B

Context Window

Maximum input and output token capacity

Only Qwen3.6-35B-A3B specifies input context (262,144 tokens). Only Qwen3.6-35B-A3B specifies output context (262,144 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.6-35B-A3B
Input262,144 tokens
Output262,144 tokens
Sat Nov 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3.6-35B-A3B supports multimodal inputs, whereas LFM3-1.7B does not.

Qwen3.6-35B-A3B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-1.7B

Text
Images
Audio
Video

Qwen3.6-35B-A3B

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while Qwen3.6-35B-A3B 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

Qwen3.6-35B-A3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Qwen3.6-35B-A3B was released on 2026-04-16.

LFM3-1.7B is 6 months newer than Qwen3.6-35B-A3B.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

6mo newer
Qwen3.6-35B-A3B

Apr 16, 2026

6 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 Qwen3.6-35B-A3B side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Qwen3.6-35B-A3B
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Qwen3.6-35B-A3B.

Which is better, LFM3-1.7B or Qwen3.6-35B-A3B?

Qwen3.6-35B-A3B leads the LLM Stats Score 31.7 to 25.0. LFM3-1.7B is made by Liquid AI and Qwen3.6-35B-A3B 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 Qwen3.6-35B-A3B in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. Qwen3.6-35B-A3B scores MMLU-Redux: 93.3%, MMBench-V1.1: 92.8%, AI2D: 92.7%, AIME 2026: 92.7%, RefCOCO-avg: 92.0%.

What are the context window sizes for LFM3-1.7B and Qwen3.6-35B-A3B?

LFM3-1.7B supports an unknown number of tokens and Qwen3.6-35B-A3B supports 262K 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 Qwen3.6-35B-A3B?

Key differences include LLM Stats Score (25.0 vs 31.7), multimodal support (no vs yes), 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 Qwen3.6-35B-A3B?

LFM3-1.7B is developed by Liquid AI and Qwen3.6-35B-A3B is developed by Alibaba Cloud / Qwen Team.

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