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GPT-6 Astra vs LFM3-VL-2B

GPT-6 Astra leads the LLM Stats Score 57.3 to 15.5.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 57.3 to 15.5, ranking #4 overall.

In the 1 individual benchmarks reported for both models, GPT-6 Astra 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 GPT-6 Astra

  • overall performance matters — it scores 57.3 and ranks #4 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose LFM3-VL-2B

  • 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.

GPT-6 Astra
OpenAI
LFM3-VL-2B
Liquid AI
Core performance indexes
LLM Stats Score
57.3
#4
15.5
#265
Reasoning
55.7
#3
16.2
#252
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
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

3 shared
Index
GPT-6 Astra
LFM3-VL-2B
Math
32.8#61
19.0#187
Vision
41.3#3
11.4#133
Multimodal
38.6#4
12.6#124
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 41 for LFM3-VL-2B

1 shared

GPT-6 Astra outperforms in 1 benchmarks (ScreenSpot Pro), while LFM3-VL-2B is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Mon Nov 02 2026 • llm-stats.com

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
LFM3-VL-2B
Input- tokens
Output- tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Astra and LFM3-VL-2B support multimodal inputs.

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

GPT-6 Astra

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while LFM3-VL-2B 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

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while LFM3-VL-2B was released on 2026-10-27.

LFM3-VL-2B is 2 months newer than GPT-6 Astra.

GPT-6 Astra

Sep 4, 2026

1 months ago

LFM3-VL-2B

Oct 27, 2026

5 days ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while LFM3-VL-2B'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 LFM3-VL-2B's cutoff date.

GPT-6 Astra

Apr 2026

LFM3-VL-2B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Astra and LFM3-VL-2B side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
LFM3-VL-2B
Open in Playground

FAQ

Common questions about GPT-6 Astra vs LFM3-VL-2B.

Which is better, GPT-6 Astra or LFM3-VL-2B?

GPT-6 Astra leads the LLM Stats Score 57.3 to 15.5. GPT-6 Astra is made by OpenAI and LFM3-VL-2B 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 LFM3-VL-2B 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%. LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%.

What are the context window sizes for GPT-6 Astra and LFM3-VL-2B?

GPT-6 Astra supports 1.1M tokens and LFM3-VL-2B 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 LFM3-VL-2B?

Key differences include LLM Stats Score (57.3 vs 15.5), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and LFM3-VL-2B?

GPT-6 Astra is developed by OpenAI and LFM3-VL-2B is developed by Liquid AI.

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