Model Comparison
Grok-4 Fast Non-Reasoning vs Llama 3.3 70B InstructWhich is better in 2026?
Comparing Grok-4 Fast Non-Reasoning and Llama 3.3 70B Instruct across benchmarks, pricing, and capabilities.
Verdict: Grok-4 Fast Non-Reasoning vs Llama 3.3 70B Instruct — which is better?
Grok-4 Fast Non-Reasoning (by xAI) and Llama 3.3 70B Instruct (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, Llama 3.3 70B Instruct is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok-4 Fast Non-Reasoning also accepts a larger context window (2,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Grok-4 Fast Non-Reasoning if…
- you process long inputs — it offers a 2,000,000 token context window
- you want the most recent training data — it shipped Aug 2025
Choose Llama 3.3 70B Instruct if…
- cost matters — it's about 1.4x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Grok-4 Fast Non-Reasoning and Llama 3.3 70B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Grok-4 Fast Non-Reasoning ($0.20/1M tokens) costs the same as Llama 3.3 70B Instruct ($0.20/1M tokens).
For output processing, Grok-4 Fast Non-Reasoning ($0.50/1M tokens) is 2.5x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).
In conclusion, Grok-4 Fast Non-Reasoning 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
Grok-4 Fast Non-Reasoning accepts 2,000,000 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 128,000 tokens, while Grok-4 Fast Non-Reasoning is limited to 30,000 tokens.
Input Capabilities
Supported data types and modalities
Grok-4 Fast Non-Reasoning supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.
Grok-4 Fast Non-Reasoning can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok-4 Fast Non-Reasoning
Llama 3.3 70B Instruct
License
Usage and distribution terms
Grok-4 Fast Non-Reasoning 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
Grok-4 Fast Non-Reasoning was released on 2025-08-28, while Llama 3.3 70B Instruct was released on 2024-12-06.
Grok-4 Fast Non-Reasoning is 9 months newer than Llama 3.3 70B Instruct.
Aug 28, 2025
11 months ago
8mo newerDec 6, 2024
1.6 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Grok-4 Fast Non-Reasoning is available from xAI. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.
Grok-4 Fast Non-Reasoning
Llama 3.3 70B Instruct
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Grok-4 Fast Non-Reasoning and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.
| Feature | | |
|---|
FAQ
Common questions about Grok-4 Fast Non-Reasoning vs Llama 3.3 70B Instruct.