Grok-3 vs Llama 4 Maverick
Grok-3 leads the LLM Stats Score 30.7 to 14.8. Llama 4 Maverick is 21.6x cheaper per token.
xAI · Meta · Updated for 2026
Which is better?
Grok-3 leads the overall LLM Stats Score 30.7 to 14.8, ranking #110 overall.
In the 3 individual benchmarks reported for both models, Grok-3 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 4 Maverick is roughly 21.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Maverick also accepts a larger context window (1,000,000 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 Grok-3
- overall performance matters — it scores 30.7 and ranks #110 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
Choose Llama 4 Maverick
- cost matters — it's about 21.6x cheaper per token
- you process long inputs — it offers a 1,000,000 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for Grok-3 · 13 for Llama 4 Maverick
Grok-3 outperforms in 3 benchmarks (GPQA, LiveCodeBench, MMMU), while Llama 4 Maverick is better at 0 benchmarks.
Grok-3 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, Grok-3 ($3.00/1M tokens) is 17.6x more expensive than Llama 4 Maverick ($0.17/1M tokens).
For output processing, Grok-3 ($15.00/1M tokens) is 25.0x more expensive than Llama 4 Maverick ($0.60/1M tokens).
In conclusion, Grok-3 is more expensive than Llama 4 Maverick.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Llama 4 Maverick accepts 1,000,000 input tokens compared to Grok-3's 128,000 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while Grok-3 is limited to 8,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Grok-3 and Llama 4 Maverick support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok-3
Llama 4 Maverick
License
Usage and distribution terms
Grok-3 is licensed under a proprietary license, while Llama 4 Maverick 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-3 was released on 2025-02-17, while Llama 4 Maverick was released on 2025-04-05.
Llama 4 Maverick is 2 months newer than Grok-3.
Feb 17, 2025
1.5 years ago
Apr 5, 2025
1.4 years ago
1mo newerKnowledge Cutoff
When training data ends
Grok-3 has a documented knowledge cutoff of 2024-11-17, while Llama 4 Maverick's cutoff date is not specified.
We can confirm Grok-3's training data extends to 2024-11-17, but cannot make a direct comparison without Llama 4 Maverick's cutoff date.
Nov 2024
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Provider Availability
Grok-3 is available from xAI. Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.
Grok-3
Llama 4 Maverick
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok-3 and Llama 4 Maverick side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok-3 vs Llama 4 Maverick.