GPT-6 Astra vs Llama 3.3 70B Instruct
GPT-6 Astra leads the LLM Stats Score 60.7 to 13.9. Llama 3.3 70B Instruct is 100.0x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 60.7 to 13.9, 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 3.3 70B Instruct is roughly 100.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra also accepts a larger context window (1,050,000 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 process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Llama 3.3 70B Instruct
- cost matters — it's about 100.0x cheaper per token
- 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 · 9 for Llama 3.3 70B Instruct
GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Llama 3.3 70B Instruct 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 50.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 250.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).
In conclusion, GPT-6 Astra is more expensive than Llama 3.3 70B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Astra accepts 1,050,000 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Astra supports multimodal inputs, whereas Llama 3.3 70B Instruct 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
Llama 3.3 70B Instruct
License
Usage and distribution terms
GPT-6 Astra is licensed under a proprietary license, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.3 Community License Agreement
Open weights
Release Timeline
When each model was launched
GPT-6 Astra was released on 2026-09-03, while Llama 3.3 70B Instruct was released on 2024-12-06.
GPT-6 Astra is 21 months newer than Llama 3.3 70B Instruct.
Sep 3, 2026
0 days ago
1.7yr newerDec 6, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Llama 3.3 70B Instruct'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 3.3 70B Instruct's cutoff date.
Apr 2026
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Provider Availability
GPT-6 Astra is available from OpenAI. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.
GPT-6 Astra
Llama 3.3 70B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs Llama 3.3 70B Instruct.