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Claude Opus 4.1 vs LFM2.5-VL-3B

Comparing Claude Opus 4.1 and LFM2.5-VL-3B across benchmarks, pricing, and capabilities.

Anthropic · Liquid AI · Updated for 2026

Which is better?

Claude Opus 4.1 and LFM2.5-VL-3B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Claude Opus 4.1

  • you want predictable pricing at $15.00/M input and $75.00/M output

Choose LFM2.5-VL-3B

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$15.00 / M
— / M
Output price
$75.00 / M
— / M
Context window
200,000
Released
Aug 2025
Aug 2026
License
Proprietary
LFM Open License v1.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Claude Opus 4.1 and LFM2.5-VL-3Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only Claude Opus 4.1 specifies input context (200,000 tokens). Only Claude Opus 4.1 specifies output context (32,000 tokens).

Anthropic
Claude Opus 4.1
Input200,000 tokens
Output32,000 tokens
Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude Opus 4.1 and LFM2.5-VL-3B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude Opus 4.1

Text
Images
Audio
Video

LFM2.5-VL-3B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 4.1 is licensed under a proprietary license, while LFM2.5-VL-3B uses LFM Open License v1.0.

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

Claude Opus 4.1

Proprietary

Closed source

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

Claude Opus 4.1 was released on 2025-08-05, while LFM2.5-VL-3B was released on 2026-08-12.

LFM2.5-VL-3B is 12 months newer than Claude Opus 4.1.

Claude Opus 4.1

Aug 5, 2025

1.1 years ago

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.0yr 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?Start an Issue discussion

Judge for yourself.

Run your own prompts against Claude Opus 4.1 and LFM2.5-VL-3B side-by-side, then vote on the output you prefer.

Claude Opus 4.1
✓ Preferred
LFM2.5-VL-3B
Open in Playground

FAQ

Common questions about Claude Opus 4.1 vs LFM2.5-VL-3B.

Which is better, Claude Opus 4.1 or LFM2.5-VL-3B?

Claude Opus 4.1 (Anthropic) and LFM2.5-VL-3B (Liquid AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Claude Opus 4.1 compare to LFM2.5-VL-3B in benchmarks?

Claude Opus 4.1 scores MMMLU: 89.5%, TAU-bench Retail: 82.4%, GPQA: 80.9%, AIME 2025: 78.0%, MMMU (validation): 77.1%. LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%.

What are the context window sizes for Claude Opus 4.1 and LFM2.5-VL-3B?

Claude Opus 4.1 supports 200K tokens and LFM2.5-VL-3B 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 Claude Opus 4.1 and LFM2.5-VL-3B?

Key differences include licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Opus 4.1 and LFM2.5-VL-3B?

Claude Opus 4.1 is developed by Anthropic and LFM2.5-VL-3B is developed by Liquid AI.