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DeepSeek R1 Distill Qwen 32B vs LFM3-1.7B

LFM3-1.7B leads the LLM Stats Score 25.0 to 12.4.

DeepSeek · Liquid AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 12.4, ranking #192 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 DeepSeek R1 Distill Qwen 32B

  • you want predictable pricing at $0.12/M input and $0.18/M output

Choose LFM3-1.7B

  • overall performance matters — it scores 25.0 and ranks #192 on LLM Stats
  • 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

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 32B
DeepSeek
LFM3-1.7B
Liquid AI
Core performance indexes
LLM Stats Score
12.4
#288
25.0
#192
Reasoning
12.7
#277
20.8
#216
Coding
8.1
#214
7.4
#218
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.12 / M
— / M
Output price
$0.18 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 32B
LFM3-1.7B
Math
15.0#235
7.6#285
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 20 for LFM3-1.7B

1 shared

DeepSeek R1 Distill Qwen 32B outperforms in 0 benchmarks, while LFM3-1.7B is better at 1 benchmark (GPQA).

LFM3-1.7B significantly outperforms across most benchmarks.

Mon Nov 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

31.1B diff

DeepSeek R1 Distill Qwen 32B has 31.1B more parameters than LFM3-1.7B, making it 1796.0% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
Liquid AI
LFM3-1.7B
1.7Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
1.7B
LFM3-1.7B

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while LFM3-1.7B uses LFM Open License v1.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 22 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.8 years ago

LFM3-1.7B

Oct 27, 2026

5 days ago

1.8yr newer

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 DeepSeek R1 Distill Qwen 32B and LFM3-1.7B side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs LFM3-1.7B.

Which is better, DeepSeek R1 Distill Qwen 32B or LFM3-1.7B?

LFM3-1.7B leads the LLM Stats Score 25.0 to 12.4. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and LFM3-1.7B is made by Liquid AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 32B compare to LFM3-1.7B in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and LFM3-1.7B?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and LFM3-1.7B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 32B and LFM3-1.7B?

Key differences include LLM Stats Score (12.4 vs 25.0), licensing (MIT vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 32B and LFM3-1.7B?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and LFM3-1.7B is developed by Liquid AI.

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