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Command R+ vs Yi-Lightning

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Command R+ and Yi-Lightning.

Cohere

Command R+

Cohere's enterprise-optimized model built for advanced Retrieval-Augmented Generation (RAG) and multi-step tool use. Highly effective for multilingual business processes.

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01.AI

Yi-Lightning

Yi-Lightning is 01.AI's (離一万物) fastest and most cost-efficient model, purpose-built for high-throughput production workloads. It delivers competitive performance against GPT-4o-mini and Claude Haiku at a fraction of the cost, with exceptional bilingual Chinese-English capabilities. Yi-Lightning excels at classification, entity extraction, summarization, and high-frequency API tasks where latency and cost-per-call are critical constraints.

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Technical Specifications

SpecificationCommand R+Yi-Lightning
ProviderCohere01.AI
Context Window128,000 tokens131,072 tokens
Agent Suitability86/10082/100
Time to First Token (TTFT)350 ms120 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-04-042025-10-01

API Pricing Comparison

Input Price per Million Tokens

Command R+

$2.50

Yi-Lightning

$0.15

Output Price per Million Tokens

Command R+

$10.00

Yi-Lightning

$0.30

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7570.0%vsN/A
Command R+
Yi-Lightning
HumanEvalPython coding & logic synthesis
7800.0%vsN/A
Command R+
Yi-Lightning
MATHComplex mathematical problem solving
6200.0%vsN/A
Command R+
Yi-Lightning
GPQAGraduate-level expert reasoning
4200.0%vsN/A
Command R+
Yi-Lightning
HellaSwagCommonsense reasoning and inference
8250.0%vsN/A
Command R+
Yi-Lightning
MT-BenchMulti-turn conversation flow quality
800.0%vsN/A
Command R+
Yi-Lightning

Command R+ Quirks & Gotchas

  • β–ΈOptimized for RAG workflows β€” best enterprise document search model
  • β–ΈTool calling requires explicit step definitions in Cohere's tool-use format

Yi-Lightning Quirks & Gotchas

  • β–ΈBest cost-efficiency for high-volume bilingual applications
  • β–ΈSelf-hostable via Ollama β€” excellent open-weight option for Asian-language pipelines