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DeepSeek-V4-Flash-Vision-Exp vs LFM3-1.7B

DeepSeek-V4-Flash-Vision-Exp leads the LLM Stats Score 43.3 to 25.0.

DeepSeek · Liquid AI · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Vision-Exp leads the overall LLM Stats Score 43.3 to 25.0, ranking #58 overall.

The models split the 2 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Flash-Vision-Exp

  • overall performance matters — it scores 43.3 and ranks #58 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes

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

At a glance

The differences that matter most.

Core performance indexes
43.3
#58
25.0
#192
39.8
#74
20.8
#216
33.1
#52
7.4
#218
29.8
#54
18.1
#97
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-Vision-Exp
LFM3-1.7B
22.0#64
14.3#119
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for DeepSeek-V4-Flash-Vision-Exp · 20 for LFM3-1.7B

2 shared

DeepSeek-V4-Flash-Vision-Exp outperforms in 1 benchmarks (Terminal-Bench 2.1), while LFM3-1.7B is better at 1 benchmark (AutomationBench).

Both models are evenly matched across the benchmarks.

Tue Nov 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-Vision-Exp specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-Vision-Exp specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Flash-Vision-Exp
Input1,048,576 tokens
Output393,216 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas LFM3-1.7B does not.

DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Flash-Vision-Exp

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 2 months newer than DeepSeek-V4-Flash-Vision-Exp.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

2 months ago

LFM3-1.7B

Oct 27, 2026

5 days ago

2mo 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-V4-Flash-Vision-Exp and LFM3-1.7B side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Vision-Exp
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Vision-Exp vs LFM3-1.7B.

Which is better, DeepSeek-V4-Flash-Vision-Exp or LFM3-1.7B?

DeepSeek-V4-Flash-Vision-Exp leads the LLM Stats Score 43.3 to 25.0. DeepSeek-V4-Flash-Vision-Exp 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-V4-Flash-Vision-Exp compare to LFM3-1.7B in benchmarks?

DeepSeek-V4-Flash-Vision-Exp scores Terminal-Bench 2.1: 83.9%, DSBench-Hard: 63.6%, DeepSWE: 59.3%, NL2Repo: 57.7%, ZEROBench: 35.0%. 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-V4-Flash-Vision-Exp and LFM3-1.7B?

DeepSeek-V4-Flash-Vision-Exp supports 1.0M 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-V4-Flash-Vision-Exp and LFM3-1.7B?

Key differences include LLM Stats Score (43.3 vs 25.0), multimodal support (yes vs no), licensing (Unknown vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Vision-Exp and LFM3-1.7B?

DeepSeek-V4-Flash-Vision-Exp is developed by DeepSeek and LFM3-1.7B is developed by Liquid AI.