GPT-6 Astra vs Llama 4 Scout
GPT-6 Astra leads the LLM Stats Score 60.7 to 8.0. Llama 4 Scout is 148.1x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 60.7 to 8.0, ranking #1 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.
On price, Llama 4 Scout is roughly 148.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-6 Astra
- overall performance matters — it scores 60.7 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Sep 2026
Choose Llama 4 Scout
- cost matters — it's about 148.1x cheaper per token
- you process long inputs — it offers a 10,000,000 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for GPT-6 Astra · 12 for Llama 4 Scout
GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Llama 4 Scout is better at 0 benchmarks.
GPT-6 Astra significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Astra ($10.00/1M tokens) is 125.0x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 166.7x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, GPT-6 Astra is more expensive than Llama 4 Scout.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to GPT-6 Astra's 1,050,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while GPT-6 Astra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-6 Astra and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Astra
Llama 4 Scout
License
Usage and distribution terms
GPT-6 Astra is licensed under a proprietary license, while Llama 4 Scout uses Llama 4 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
GPT-6 Astra was released on 2026-09-04, while Llama 4 Scout was released on 2025-04-05.
GPT-6 Astra is 17 months newer than Llama 4 Scout.
Sep 4, 2026
1 days ago
1.4yr newerApr 5, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Llama 4 Scout'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 Llama 4 Scout's cutoff date.
Apr 2026
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Provider Availability
GPT-6 Astra is available from OpenAI. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
GPT-6 Astra
Llama 4 Scout
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and Llama 4 Scout side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs Llama 4 Scout.