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GPT-6 Astra vs LFM2.5-VL-3B

GPT-6 Astra leads the LLM Stats Score 59.7 to 3.2.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 59.7 to 3.2, ranking #1 overall.

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

Choose GPT-6 Astra

  • overall performance matters — it scores 59.7 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose LFM2.5-VL-3B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6 Astra
OpenAI
LFM2.5-VL-3B
Liquid AI
Core performance indexes
LLM Stats Score
59.7
#1
3.2
#312
Reasoning
57.3
#1
-2.3
#334
Agents
45.9
#1
-5.3
#184
Cost, coverage & limits
Benchmark wins
—
—
Input price
$10.00 / M
— / M
Output price
$50.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-6 Astra
LFM2.5-VL-3B
Vision
41.7#2
1.2#177
Multimodal
39.0#2
3.0#145
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 23 for LFM2.5-VL-3B

No common benchmarks found

GPT-6 Astra and LFM2.5-VL-3Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Astra specifies input context (1,050,000 tokens). Only GPT-6 Astra specifies output context (128,000 tokens).

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Astra and LFM2.5-VL-3B support multimodal inputs.

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

GPT-6 Astra

Text
Images
Audio
Video

LFM2.5-VL-3B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra 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.

GPT-6 Astra

Proprietary

Closed source

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while LFM2.5-VL-3B was released on 2026-08-12.

GPT-6 Astra is 1 month newer than LFM2.5-VL-3B.

GPT-6 Astra

Sep 4, 2026

2 weeks ago

3w newer
LFM2.5-VL-3B

Aug 12, 2026

1 months ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while LFM2.5-VL-3B's cutoff date is not specified.

We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without LFM2.5-VL-3B's cutoff date.

GPT-6 Astra

Apr 2026

LFM2.5-VL-3B

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Astra and LFM2.5-VL-3B side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
LFM2.5-VL-3B
Open in Playground

FAQ

Common questions about GPT-6 Astra vs LFM2.5-VL-3B.

Which is better, GPT-6 Astra or LFM2.5-VL-3B?

GPT-6 Astra leads the LLM Stats Score 59.7 to 3.2. GPT-6 Astra is made by OpenAI and LFM2.5-VL-3B 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 GPT-6 Astra compare to LFM2.5-VL-3B in benchmarks?

GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%. 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 GPT-6 Astra and LFM2.5-VL-3B?

GPT-6 Astra supports 1.1M 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 GPT-6 Astra and LFM2.5-VL-3B?

Key differences include LLM Stats Score (59.7 vs 3.2), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and LFM2.5-VL-3B?

GPT-6 Astra is developed by OpenAI and LFM2.5-VL-3B is developed by Liquid AI.

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