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Command R+ vs GPT-5.5

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-5.5.

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-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

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Technical Specifications

SpecificationCommand R+GPT-5.5
ProviderCohereOpenAI
Context Window128,000 tokens1,050,000 tokens
Agent Suitability86/10095/100
Time to First Token (TTFT)350 ms380 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-04-042026-04-24

API Pricing Comparison

Input Price per Million Tokens

Command R+

$2.50

GPT-5.5

$5.00

Output Price per Million Tokens

Command R+

$10.00

GPT-5.5

$30.00

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%vs9420.0%
Command R+
GPT-5.5
HumanEvalPython coding & logic synthesis
7800.0%vs9680.0%
Command R+
GPT-5.5
MATHComplex mathematical problem solving
6200.0%vs9350.0%
Command R+
GPT-5.5
GPQAGraduate-level expert reasoning
4200.0%vs8420.0%
Command R+
GPT-5.5
HellaSwagCommonsense reasoning and inference
8250.0%vs9900.0%
Command R+
GPT-5.5
MT-BenchMulti-turn conversation flow quality
800.0%vs970.0%
Command R+
GPT-5.5

Command R+ Quirks & Gotchas

  • Optimized for RAG workflows — best enterprise document search model
  • Tool calling requires explicit step definitions in Cohere's tool-use format

GPT-5.5 Quirks & Gotchas

  • Best for JSON schema adherence — strict mode available via response_format parameter
  • Requires explicit tool_choice for deterministic function calling