Model Comparison
Grok-2 vs Llama 4 ScoutWhich is better in 2026?
Llama 4 Scout has a slight edge in benchmark performance. Llama 4 Scout is 29.6x cheaper per token.
Verdict: Grok-2 vs Llama 4 Scout — which is better?
Grok-2 (by xAI) and Llama 4 Scout (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.
Grok-2 outperforms in 3 benchmarks (MATH, MMLU, MMLU-Pro), while Llama 4 Scout is better at 4 benchmarks (DocVQA, GPQA, MathVista, MMMU). Llama 4 Scout has a slight edge in benchmark performance.
On price, Llama 4 Scout is roughly 29.6x 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.
Choose Grok-2 if…
- you want predictable pricing at $2.00/M input and $10.00/M output
Choose Llama 4 Scout if…
- you want the strongest raw capability — it leads on 4 of 7 shared benchmarks
- cost matters — it's about 29.6x cheaper per token
- you process long inputs — it offers a 10,000,000 token context window
- you want the most recent training data — it shipped Apr 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Grok-2 outperforms in 3 benchmarks (MATH, MMLU, MMLU-Pro), while Llama 4 Scout is better at 4 benchmarks (DocVQA, GPQA, MathVista, MMMU).
Llama 4 Scout has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Grok-2 ($2.00/1M tokens) is 25.0x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, Grok-2 ($10.00/1M tokens) is 33.3x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, Grok-2 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 Grok-2's 128,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Grok-2 is limited to 8,000 tokens.
Input Capabilities
Supported data types and modalities
Both Grok-2 and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok-2
Llama 4 Scout
License
Usage and distribution terms
Grok-2 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
Grok-2 was released on 2024-08-13, while Llama 4 Scout was released on 2025-04-05.
Llama 4 Scout is 8 months newer than Grok-2.
Aug 13, 2024
1.9 years ago
Apr 5, 2025
1.3 years ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Grok-2 is available from xAI. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
Grok-2
Llama 4 Scout
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Grok-2 and Llama 4 Scout side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Grok-2 vs Llama 4 Scout.