MiniMax M2 vs Parse
Comparing MiniMax M2 and Parse across benchmarks, pricing, and capabilities.
MiniMax · Cohere · Updated for 2026
Which is better?
MiniMax M2 and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
MiniMax M2 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 MiniMax M2
- 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
16 reported for MiniMax M2 · 1 for Parse
MiniMax M2 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
MiniMax M2 has 227.7B more parameters than Parse, making it 9900.0% larger.
Context Window
Maximum input and output token capacity
MiniMax M2 accepts 1,000,000 input tokens compared to Parse's 8,192 tokens. Only MiniMax M2 specifies output context (1,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Parse supports multimodal inputs, whereas MiniMax M2 does not.
Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M2
Parse
License
Usage and distribution terms
MiniMax M2 is licensed under MIT, while Parse uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiniMax M2 was released on 2025-10-27, while Parse was released on 2026-08-27.
Parse is 10 months newer than MiniMax M2.
Oct 27, 2025
11 months ago
Aug 27, 2026
3 weeks ago
10mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MiniMax M2 is available from MiniMax, Novita. Parse is available from Azure, Cohere.
MiniMax M2
Parse
Outputs Comparison
Judge for yourself.
Run your own prompts against MiniMax M2 and Parse side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M2 vs Parse.