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LFM3-1.7B vs Qwen3-Next-80B-A3B-Thinking

LFM3-1.7B and Qwen3-Next-80B-A3B-Thinking are closely matched at 25.0 and 23.2 on the LLM Stats Score.

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

Which is better?

LFM3-1.7B and Qwen3-Next-80B-A3B-Thinking are closely matched on the overall LLM Stats Score at 25.0 and 23.2.

In the 4 individual benchmarks reported for both models, LFM3-1.7B wins 3; 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 value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3-Next-80B-A3B-Thinking

  • you want predictable pricing at $0.15/M input and $1.50/M output

At a glance

The differences that matter most.

Core performance indexes
25.0
#191
23.2
#209
20.8
#216
23.9
#192
18.1
#97
12.0
#136
Cost, coverage & limits
Benchmark wins
3 of 4
1 of 4
Input price
— / M
$0.15 / M
Output price
— / M
$1.50 / M
Context window
—
65,536

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LFM3-1.7B
Qwen3-Next-80B-A3B-Thinking
7.6#285
26.4#113
14.3#118
10.6#146
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 23 for Qwen3-Next-80B-A3B-Thinking

4 shared

LFM3-1.7B outperforms in 3 benchmarks (IFEval, LiveCodeBench v6, Multi-IF), while Qwen3-Next-80B-A3B-Thinking is better at 1 benchmark (GPQA).

LFM3-1.7B shows notably better performance in the majority of benchmarks.

Thu Nov 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

78.3B diff

Qwen3-Next-80B-A3B-Thinking has 78.3B more parameters than LFM3-1.7B, making it 4524.3% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
80.0Bparameters
1.7B
LFM3-1.7B
80.0B
Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Thinking specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Thu Nov 05 2026 • llm-stats.com

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while Qwen3-Next-80B-A3B-Thinking 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-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

LFM3-1.7B is 14 months newer than Qwen3-Next-80B-A3B-Thinking.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

1.1yr newer
Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

1.2 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 Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Qwen3-Next-80B-A3B-Thinking
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Qwen3-Next-80B-A3B-Thinking.

Which is better, LFM3-1.7B or Qwen3-Next-80B-A3B-Thinking?

LFM3-1.7B and Qwen3-Next-80B-A3B-Thinking are closely matched on the LLM Stats Score at 25.0 and 23.2. LFM3-1.7B is made by Liquid AI and Qwen3-Next-80B-A3B-Thinking 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-Next-80B-A3B-Thinking 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-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

What are the context window sizes for LFM3-1.7B and Qwen3-Next-80B-A3B-Thinking?

LFM3-1.7B supports an unknown number of tokens and Qwen3-Next-80B-A3B-Thinking supports 66K 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-Next-80B-A3B-Thinking?

Key differences include LLM Stats Score (25.0 vs 23.2), 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-Next-80B-A3B-Thinking?

LFM3-1.7B is developed by Liquid AI and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.