Command R+ vs Ling 3.1 Flash
Ling 3.1 Flash leads the LLM Stats Score 51.1 to -0.5.
Cohere · InclusionAI · Updated for 2026
Which is better?
Ling 3.1 Flash leads the overall LLM Stats Score 51.1 to -0.5, ranking #14 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Command R+
- you need open weights you can self-host or fine-tune
Choose Ling 3.1 Flash
- overall performance matters — it scores 51.1 and ranks #14 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
6 reported for Command R+ · 11 for Ling 3.1 Flash
Command R+ and Ling 3.1 Flashdon'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
Ling 3.1 Flash has 456.0B more parameters than Command R+, making it 438.5% 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).
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while Ling 3.1 Flash was released on 2026-09-30.
Ling 3.1 Flash is 25 months newer than Command R+.
Aug 30, 2024
2.1 years ago
Sep 30, 2026
1 weeks ago
2.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and Ling 3.1 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs Ling 3.1 Flash.