Model Comparison
Command R+ vs Hy3Which is better in 2026?
Comparing Command R+ and Hy3 across benchmarks, pricing, and capabilities.
Verdict: Command R+ vs Hy3 — which is better?
Command R+ (by Cohere) and Hy3 (by Tencent) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Choose Command R+ if…
- you want predictable pricing at $0.25/M input and $1.00/M output
Choose Hy3 if…
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
Command R+ and Hy3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Hy3 has 191.0B more parameters than Command R+, making it 183.7% larger.
Context Window
Maximum input and output token capacity
Only Command R+ specifies input context (128,000 tokens). Only Command R+ specifies output context (128,000 tokens).
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while Hy3 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
CC BY-NC
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while Hy3 was released on 2026-07-06.
Hy3 is 23 months newer than Command R+.
Aug 30, 2024
1.9 years ago
Jul 6, 2026
1 weeks ago
1.8yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Command R+
View detailsCohere
Hy3
View detailsTencent
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Command R+ and Hy3 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Command R+ vs Hy3.