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LFM3-1.7B vs Qwen3 235B A22B

LFM3-1.7B leads the LLM Stats Score 25.0 to 15.1.

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

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 15.1, ranking #191 overall.

In the 1 individual benchmarks reported for both models, LFM3-1.7B wins 1; 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 #191 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3 235B A22B

  • you want predictable pricing at $0.10/M input and $0.10/M output

At a glance

The differences that matter most.

Core performance indexes
25.0
#191
15.1
#268
20.8
#216
15.7
#257
7.4
#218
12.1
#180
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.10 / M
Output price
— / M
$0.10 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-1.7B
Qwen3 235B A22B
7.6#285
20.9#167
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 23 for Qwen3 235B A22B

1 shared

LFM3-1.7B outperforms in 1 benchmarks (GPQA), while Qwen3 235B A22B is better at 0 benchmarks.

LFM3-1.7B significantly outperforms across most benchmarks.

Fri Nov 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

233.3B diff

Qwen3 235B A22B has 233.3B more parameters than LFM3-1.7B, making it 13483.8% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
1.7B
LFM3-1.7B
235.0B
Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Only Qwen3 235B A22B specifies input context (128,000 tokens). Only Qwen3 235B A22B specifies output context (128,000 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Fri Nov 06 2026 • llm-stats.com

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while Qwen3 235B A22B 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 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Qwen3 235B A22B was released on 2025-04-29.

LFM3-1.7B is 18 months newer than Qwen3 235B A22B.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

1.5yr newer
Qwen3 235B A22B

Apr 29, 2025

1.5 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 235B A22B side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Qwen3 235B A22B
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Qwen3 235B A22B.

Which is better, LFM3-1.7B or Qwen3 235B A22B?

LFM3-1.7B leads the LLM Stats Score 25.0 to 15.1. LFM3-1.7B is made by Liquid AI and Qwen3 235B A22B 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 235B A22B 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 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

What are the context window sizes for LFM3-1.7B and Qwen3 235B A22B?

LFM3-1.7B supports an unknown number of tokens and Qwen3 235B A22B 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 Qwen3 235B A22B?

Key differences include LLM Stats Score (25.0 vs 15.1), 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 235B A22B?

LFM3-1.7B is developed by Liquid AI and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.