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GPT-6 Astra vs LFM2.5-2.6B

GPT-6 Astra leads the LLM Stats Score 59.6 to 19.0.

OpenAI · Liquid AI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 59.6 to 19.0, 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 59.6 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose LFM2.5-2.6B

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

At a glance

The differences that matter most.

GPT-6 Astra
OpenAI
LFM2.5-2.6B
Liquid AI
Core performance indexes
LLM Stats Score
59.6
#1
19.0
#208
Reasoning
57.5
#1
14.7
#228
Coding
48.5
#1
17.4
#121
Agents
45.7
#1
7.9
#135
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

1 shared
Index
GPT-6 Astra
LFM2.5-2.6B
Tool use
35.6#1
2.0#170
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 9 for LFM2.5-2.6B

No common benchmarks found

GPT-6 Astra and LFM2.5-2.6Bdon'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
LFM2.5-2.6B
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Astra supports multimodal inputs, whereas LFM2.5-2.6B does not.

GPT-6 Astra can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Astra

Text
Images
Audio
Video

LFM2.5-2.6B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while LFM2.5-2.6B 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

LFM2.5-2.6B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while LFM2.5-2.6B was released on 2026-08-04.

GPT-6 Astra is 1 month newer than LFM2.5-2.6B.

GPT-6 Astra

Sep 4, 2026

2 weeks ago

1mo newer
LFM2.5-2.6B

Aug 4, 2026

1 months ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while LFM2.5-2.6B'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 LFM2.5-2.6B's cutoff date.

GPT-6 Astra

Apr 2026

LFM2.5-2.6B

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Astra and LFM2.5-2.6B side-by-side, then vote on the output you prefer.

GPT-6 Astra
✓ Preferred
LFM2.5-2.6B
Open in Playground

FAQ

Common questions about GPT-6 Astra vs LFM2.5-2.6B.

Which is better, GPT-6 Astra or LFM2.5-2.6B?

GPT-6 Astra leads the LLM Stats Score 59.6 to 19.0. GPT-6 Astra is made by OpenAI and LFM2.5-2.6B 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 LFM2.5-2.6B 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%. LFM2.5-2.6B scores Multi-IF: 80.1%, PinchBench: 68.2%, Claw-Eval: 62.8%, LiveCodeBench v6: 59.4%, IFBench: 59.2%.

What are the context window sizes for GPT-6 Astra and LFM2.5-2.6B?

GPT-6 Astra supports 1.1M tokens and LFM2.5-2.6B 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 LFM2.5-2.6B?

Key differences include LLM Stats Score (59.6 vs 19.0), multimodal support (yes vs no), licensing (Proprietary vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and LFM2.5-2.6B?

GPT-6 Astra is developed by OpenAI and LFM2.5-2.6B is developed by Liquid AI.

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