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LFM3-1.7B vs Qwen3.8 Flash

Qwen3.8 Flash leads the LLM Stats Score 47.8 to 25.0.

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

Which is better?

Qwen3.8 Flash leads the overall LLM Stats Score 47.8 to 25.0, ranking #36 overall.

In the 5 individual benchmarks reported for both models, Qwen3.8 Flash wins 5; 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 Qwen3.8 Flash

  • overall performance matters — it scores 47.8 and ranks #36 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results

At a glance

The differences that matter most.

Core performance indexes
25.0
#191
47.8
#36
20.8
#216
48.1
#23
7.4
#218
33.4
#49
18.1
#97
32.9
#41
Cost, coverage & limits
Benchmark wins
0 of 5
5 of 5
Input price
— / M
$0.15 / M
Output price
— / M
$0.47 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LFM3-1.7B
Qwen3.8 Flash
7.6#285
32.3#66
14.3#119
30.0#17
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 22 for Qwen3.8 Flash

5 shared

LFM3-1.7B outperforms in 0 benchmarks, while Qwen3.8 Flash is better at 5 benchmarks (GPQA, Humanity's Last Exam, IFBench, LiveCodeBench v6, SWE-bench Multilingual).

Qwen3.8 Flash significantly outperforms across most benchmarks.

Sat Nov 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

123.3B diff

Qwen3.8 Flash has 123.3B more parameters than LFM3-1.7B, making it 7125.4% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
125.0Bparameters
1.7B
LFM3-1.7B
125.0B
Qwen3.8 Flash

Context Window

Maximum input and output token capacity

Only Qwen3.8 Flash specifies input context (1,000,000 tokens). Only Qwen3.8 Flash specifies output context (131,072 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Input1,000,000 tokens
Output131,072 tokens
Sat Nov 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3.8 Flash supports multimodal inputs, whereas LFM3-1.7B does not.

Qwen3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-1.7B

Text
Images
Audio
Video

Qwen3.8 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while Qwen3.8 Flash 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

Qwen3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Qwen3.8 Flash was released on 2026-08-26.

LFM3-1.7B is 2 months newer than Qwen3.8 Flash.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

2mo newer
Qwen3.8 Flash

Aug 26, 2026

2 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 Qwen3.8 Flash side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
Qwen3.8 Flash
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Qwen3.8 Flash.

Which is better, LFM3-1.7B or Qwen3.8 Flash?

Qwen3.8 Flash leads the LLM Stats Score 47.8 to 25.0. LFM3-1.7B is made by Liquid AI and Qwen3.8 Flash 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 Qwen3.8 Flash in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. Qwen3.8 Flash scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for LFM3-1.7B and Qwen3.8 Flash?

LFM3-1.7B supports an unknown number of tokens and Qwen3.8 Flash 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 Qwen3.8 Flash?

Key differences include LLM Stats Score (25.0 vs 47.8), 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 Qwen3.8 Flash?

LFM3-1.7B is developed by Liquid AI and Qwen3.8 Flash is developed by Alibaba Cloud / Qwen Team.