MAI-Code-1.1-Flash vs Parse
Comparing MAI-Code-1.1-Flash and Parse across benchmarks, pricing, and capabilities.
Microsoft · Cohere · Updated for 2026
Which is better?
MAI-Code-1.1-Flash and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
MAI-Code-1.1-Flash also accepts a larger context window (256,000 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 MAI-Code-1.1-Flash
- you process long inputs — it offers a 256,000 token context window
Choose Parse
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
2 reported for MAI-Code-1.1-Flash · 1 for Parse
MAI-Code-1.1-Flash 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
MAI-Code-1.1-Flash has 135.7B more parameters than Parse, making it 5900.0% larger.
Context Window
Maximum input and output token capacity
MAI-Code-1.1-Flash accepts 256,000 input tokens compared to Parse's 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both MAI-Code-1.1-Flash and Parse support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MAI-Code-1.1-Flash
Parse
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
MAI-Code-1.1-Flash was released on 2026-08-11, while Parse was released on 2026-08-27.
Parse is 1 month newer than MAI-Code-1.1-Flash.
Aug 11, 2026
3 weeks ago
Aug 27, 2026
1 weeks ago
2w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
MAI-Code-1.1-Flash is available from GitHub Copilot. Parse is available from Azure, Cohere.
MAI-Code-1.1-Flash
Parse
Outputs Comparison
Judge for yourself.
Run your own prompts against MAI-Code-1.1-Flash and Parse side-by-side, then vote on the output you prefer.
FAQ
Common questions about MAI-Code-1.1-Flash vs Parse.