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LFM3-1.7B vs Qwen3 Max

LFM3-1.7B and Qwen3 Max are closely matched at 25.0 and 21.1 on the LLM Stats Score.

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

Which is better?

LFM3-1.7B and Qwen3 Max are closely matched on the overall LLM Stats Score at 25.0 and 21.1.

In the 3 individual benchmarks reported for both models, LFM3-1.7B wins 2; 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 2 of 3 exact shared results
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose Qwen3 Max

  • you want predictable pricing at $0.50/M input and $5.00/M output

At a glance

The differences that matter most.

Core performance indexes
25.0
#191
21.1
#224
20.8
#216
21.3
#211
7.4
#218
11.6
#184
18.1
#97
4.4
#184
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
— / M
$0.50 / M
Output price
— / M
$5.00 / M
Context window
—
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-1.7B
Qwen3 Max
7.6#285
22.4#150
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 6 for Qwen3 Max

3 shared

LFM3-1.7B outperforms in 2 benchmarks (GPQA, LiveCodeBench v6), while Qwen3 Max is better at 1 benchmark (SWE-Bench Verified).

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

Wed Nov 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

998.3B diff

Qwen3 Max has 998.3B more parameters than LFM3-1.7B, making it 57703.5% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Alibaba Cloud / Qwen Team
Qwen3 Max
1.0Tparameters
1.7B
LFM3-1.7B
1000.0B
Qwen3 Max

Context Window

Maximum input and output token capacity

Only Qwen3 Max specifies input context (256,000 tokens). Only Qwen3 Max specifies output context (131,072 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Wed Nov 04 2026 • llm-stats.com

License

Usage and distribution terms

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

Proprietary

Closed source

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while Qwen3 Max was released on 2025-12-15.

LFM3-1.7B is 11 months newer than Qwen3 Max.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

10mo newer
Qwen3 Max

Dec 15, 2025

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

LFM3-1.7B
✓ Preferred
Qwen3 Max
Open in Playground

FAQ

Common questions about LFM3-1.7B vs Qwen3 Max.

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

LFM3-1.7B and Qwen3 Max are closely matched on the LLM Stats Score at 25.0 and 21.1. LFM3-1.7B is made by Liquid AI and Qwen3 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 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 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

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

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

Key differences include LLM Stats Score (25.0 vs 21.1), 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 Max?

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