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Command R vs Grok 4.20

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 Grok 4.20.

Cohere

Command R

Command R is Cohere's lightweight, cost-efficient model engineered for high-speed enterprise integrations, productivity automation, and retrieval-augmented generation (RAG) pipelines. Optimized for low-latency API tool use and structured JSON output, it is particularly effective in enterprise search and question-answering systems where fast, reliable responses are critical. With a 128,000-token context window and a price of $0.15/MTok for input, Command R provides strong RAG performance and multilingual support at a fraction of the cost of Command R+, making it the preferred choice for teams scaling intelligent document retrieval at high request volumes.

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xAI

Grok 4.20

Grok 4.20 is xAI's most advanced reasoning model, combining powerful analytical capabilities with unique real-time integration to the X (formerly Twitter) platform data stream. This live data access allows Grok 4.20 to answer queries with up-to-the-minute context, making it invaluable for financial analysis, current events research, and real-time market monitoring. Exceptionally strong in physics, advanced mathematics, and code synthesis, it operates with a 2-million-token context window and is priced at $1.25/MTok for input โ€” delivering frontier-tier reasoning at a highly competitive cost for developers building intelligent agents and analytical tools.

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Technical Specifications

SpecificationCommand RGrok 4.20
ProviderCoherexAI
Context Window128,000 tokens2,000,000 tokens
Agent Suitability78/10090/100
Time to First Token (TTFT)200 ms350 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-03-112026-05-05

API Pricing Comparison

Input Price per Million Tokens

Command R

$0.15

Grok 4.20

$1.25

Output Price per Million Tokens

Command R

$0.60

Grok 4.20

$2.50

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
7100.0%vs9470.0%
Command R
Grok 4.20
HumanEvalPython coding & logic synthesis
7300.0%vs9700.0%
Command R
Grok 4.20
MATHComplex mathematical problem solving
5400.0%vs9380.0%
Command R
Grok 4.20
GPQAGraduate-level expert reasoning
3500.0%vs8490.0%
Command R
Grok 4.20
HellaSwagCommonsense reasoning and inference
7800.0%vs9880.0%
Command R
Grok 4.20
MT-BenchMulti-turn conversation flow quality
750.0%vs970.0%
Command R
Grok 4.20

Command R Quirks & Gotchas

  • โ–ธCost-effective RAG model โ€” strong multilingual search performance
  • โ–ธLimited agentic capability โ€” use Command R+ for complex multi-step tool use

Grok 4.20 Quirks & Gotchas

  • โ–ธReal-time X data access โ€” unparalleled for current events / financial analysis
  • โ–ธTool calling API is still maturing โ€” test thoroughly for production agentic use