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Command R+ vs GPT-5 Nano

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 GPT-5 Nano.

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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OpenAI

GPT-5 Nano

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

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Technical Specifications

SpecificationCommand R+GPT-5 Nano
ProviderCohereOpenAI
Context Window128,000 tokens400,000 tokens
Agent Suitability86/100N/A
Time to First Token (TTFT)350 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-04-042025-08-07

API Pricing Comparison

Input Price per Million Tokens

Command R+

$2.50

GPT-5 Nano

$0.05

Output Price per Million Tokens

Command R+

$10.00

GPT-5 Nano

$0.40

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

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+
GPT-5 Nano
HumanEvalPython coding & logic synthesis
7800.0%vsN/A
Command R+
GPT-5 Nano
MATHComplex mathematical problem solving
6200.0%vsN/A
Command R+
GPT-5 Nano
GPQAGraduate-level expert reasoning
4200.0%vsN/A
Command R+
GPT-5 Nano
HellaSwagCommonsense reasoning and inference
8250.0%vsN/A
Command R+
GPT-5 Nano
MT-BenchMulti-turn conversation flow quality
800.0%vsN/A
Command R+
GPT-5 Nano

Command R+ Quirks & Gotchas

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

GPT-5 Nano Quirks & Gotchas

No developer gotchas reported.