DeepSeek-R1-0528 vs Parse
Comparing DeepSeek-R1-0528 and Parse across benchmarks, pricing, and capabilities.
DeepSeek · Cohere · Updated for 2026
Which is better?
DeepSeek-R1-0528 and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
DeepSeek-R1-0528 also accepts a larger context window (163,840 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 DeepSeek-R1-0528
- you process long inputs — it offers a 163,840 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 DeepSeek-R1-0528 · 1 for Parse
DeepSeek-R1-0528 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
DeepSeek-R1-0528 has 668.7B more parameters than Parse, making it 29073.9% larger.
Context Window
Maximum input and output token capacity
DeepSeek-R1-0528 accepts 163,840 input tokens compared to Parse's 8,192 tokens. Only DeepSeek-R1-0528 specifies output context (163,840 tokens).
Input capabilities
Documented input modalities across available providers
Parse supports multimodal inputs, whereas DeepSeek-R1-0528 does not.
Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-R1-0528
Parse
License
Usage and distribution terms
DeepSeek-R1-0528 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
DeepSeek-R1-0528 was released on 2025-05-28, while Parse was released on 2026-08-27.
Parse is 15 months newer than DeepSeek-R1-0528.
May 28, 2025
1.3 years ago
Aug 27, 2026
3 weeks ago
1.2yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. Parse is available from Azure, Cohere.
DeepSeek-R1-0528
Parse
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-R1-0528 and Parse side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1-0528 vs Parse.