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LFM3-1.7B vs Qwen3.7-Plus

Qwen3.7-Plus leads the LLM Stats Score 41.9 to 25.0.

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

Which is better?

Qwen3.7-Plus leads the overall LLM Stats Score 41.9 to 25.0, ranking #70 overall.

In the 11 individual benchmarks reported for both models, Qwen3.7-Plus wins 9; 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 Qwen3.7-Plus

  • overall performance matters — it scores 41.9 and ranks #70 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 9 of 11 exact shared results

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
Qwen3.7-Plus
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
25.0
#192
41.9
#70
Reasoning
20.8
#216
42.7
#58
Coding
7.4
#218
29.9
#68
Agents
18.1
#97
23.6
#77
Cost, coverage & limits
Benchmark wins
2 of 11
9 of 11
Input price
— / M
$0.32 / M
Output price
— / M
$1.28 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
LFM3-1.7B
Qwen3.7-Plus
Math
7.6#285
39.5#19
Tool use
14.3#119
22.5#61
Long context
5.1#112
25.9#10
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 70 for Qwen3.7-Plus

11 shared

LFM3-1.7B outperforms in 2 benchmarks (Claw-Eval, IFEval), while Qwen3.7-Plus is better at 9 benchmarks (BFCL-V4, GPQA, Humanity's Last Exam, IFBench, LiveCodeBench v6, MCP Atlas, SciCode, SWE-bench Multilingual, SWE-Bench Verified).

Qwen3.7-Plus significantly outperforms across most benchmarks.

Mon Nov 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Qwen3.7-Plus specifies input context (1,000,000 tokens). Only Qwen3.7-Plus specifies output context (65,536 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input1,000,000 tokens
Output65,536 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3.7-Plus supports multimodal inputs, whereas LFM3-1.7B does not.

Qwen3.7-Plus can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-1.7B

Text
Images
Audio
Video

Qwen3.7-Plus

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while Qwen3.7-Plus 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

Qwen3.7-Plus

Proprietary

Closed source

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Qwen3.7-Plus was released on 2026-05-31.

LFM3-1.7B is 5 months newer than Qwen3.7-Plus.

LFM3-1.7B

Oct 27, 2026

6 days ago

4mo newer
Qwen3.7-Plus

May 31, 2026

5 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 Qwen3.7-Plus side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Qwen3.7-Plus
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Qwen3.7-Plus.

Which is better, LFM3-1.7B or Qwen3.7-Plus?

Qwen3.7-Plus leads the LLM Stats Score 41.9 to 25.0. LFM3-1.7B is made by Liquid AI and Qwen3.7-Plus 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 Qwen3.7-Plus in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. Qwen3.7-Plus scores IFEval: 94.6%, MMLU-Redux: 94.5%, HMMT Feb 26: 92.9%, MRCR v2: 91.7%, OmniDocBench 1.5: 91.4%.

What are the context window sizes for LFM3-1.7B and Qwen3.7-Plus?

LFM3-1.7B supports an unknown number of tokens and Qwen3.7-Plus supports 1.0M 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 Qwen3.7-Plus?

Key differences include LLM Stats Score (25.0 vs 41.9), 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 Qwen3.7-Plus?

LFM3-1.7B is developed by Liquid AI and Qwen3.7-Plus is developed by Alibaba Cloud / Qwen Team.

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