Llama 4 Maverick vs Parse
Comparing Llama 4 Maverick and Parse across benchmarks, pricing, and capabilities.
Meta · Cohere · Updated for 2026
Which is better?
Llama 4 Maverick and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
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 Llama 4 Maverick
- you process long inputs — it offers a 1,000,000 token context window
- you need open weights you can self-host or fine-tune
Choose Parse
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
13 reported for Llama 4 Maverick · 1 for Parse
Llama 4 Maverick and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Llama 4 Maverick has 397.7B more parameters than Parse, making it 17291.3% larger.
Context Window
Maximum input and output token capacity
Llama 4 Maverick accepts 1,000,000 input tokens compared to Parse's 8,192 tokens. Only Llama 4 Maverick specifies output context (1,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Llama 4 Maverick and Parse support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Llama 4 Maverick
Parse
License
Usage and distribution terms
Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Parse uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 4 Community License Agreement
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Llama 4 Maverick was released on 2025-04-05, while Parse was released on 2026-08-27.
Parse is 17 months newer than Llama 4 Maverick.
Apr 5, 2025
1.4 years ago
Aug 27, 2026
3 days ago
1.4yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova. Parse is available from Azure, Cohere.
Llama 4 Maverick
Parse
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 4 Maverick and Parse side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 4 Maverick vs Parse.