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LFM3-1.7B vs Qwen3.8 Max

Qwen3.8 Max leads the LLM Stats Score 50.3 to 24.9.

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

Which is better?

Qwen3.8 Max leads the overall LLM Stats Score 50.3 to 24.9, ranking #19 overall.

In the 6 individual benchmarks reported for both models, Qwen3.8 Max 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

Choose Qwen3.8 Max

  • overall performance matters — it scores 50.3 and ranks #19 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 6 exact shared results

At a glance

The differences that matter most.

Core performance indexes
24.9
#193
50.3
#19
20.7
#218
49.3
#17
7.3
#220
37.7
#29
17.9
#99
35.8
#26
Cost, coverage & limits
Benchmark wins
1 of 6
5 of 6
Input price
— / M
$1.65 / M
Output price
— / M
$4.95 / M
Context window
—
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
LFM3-1.7B
Qwen3.8 Max
7.5#286
32.8#61
14.3#120
29.3#24
5.1#112
27.8#6
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 42 for Qwen3.8 Max

6 shared

LFM3-1.7B outperforms in 1 benchmarks (AutomationBench), while Qwen3.8 Max is better at 5 benchmarks (GPQA, Humanity's Last Exam, Humanity's Last Exam (with tools, text-only), IFBench, Terminal-Bench 2.1).

Qwen3.8 Max significantly outperforms across most benchmarks.

Sun Nov 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

2398.3B diff

Qwen3.8 Max has 2398.3B more parameters than LFM3-1.7B, making it 138628.3% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
1.7B
LFM3-1.7B
2400.0B
Qwen3.8 Max

Context Window

Maximum input and output token capacity

Only Qwen3.8 Max specifies input context (256,000 tokens). Only Qwen3.8 Max specifies output context (256,000 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input256,000 tokens
Output256,000 tokens
Sun Nov 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

Qwen3.8 Max 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 Max

Text
Images
Audio
Video

License

Usage and distribution terms

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

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Qwen3.8 Max was released on 2026-08-02.

LFM3-1.7B is 3 months newer than Qwen3.8 Max.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

2mo newer
Qwen3.8 Max

Aug 2, 2026

3 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 Max side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Qwen3.8 Max leads the LLM Stats Score 50.3 to 24.9. LFM3-1.7B is made by Liquid AI and Qwen3.8 Max 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 Max 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 Max scores PaperBench: 93.0%, MRCR v2 (8-needle): 92.9%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%.

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

LFM3-1.7B supports an unknown number of tokens and Qwen3.8 Max supports 256K 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 Max?

Key differences include LLM Stats Score (24.9 vs 50.3), multimodal support (no vs yes), licensing (LFM Open License v1.0 vs Qwen3.8-Max License). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and Qwen3.8 Max?

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