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Command R vs Grok 4.3

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 4.3.

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 4.3

Grok 4.3 is a reasoning model from xAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...

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Technical Specifications

SpecificationCommand RGrok 4.3
ProviderCoherexAI
Context Window128,000 tokens1,000,000 tokens
Agent Suitability78/10087/100
Time to First Token (TTFT)200 ms400 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-03-112026-04-30

API Pricing Comparison

Input Price per Million Tokens

Command R

$0.15

Grok 4.3

$1.25

Output Price per Million Tokens

Command R

$0.60

Grok 4.3

$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%vs9240.0%
Command R
Grok 4.3
HumanEvalPython coding & logic synthesis
7300.0%vs9450.0%
Command R
Grok 4.3
MATHComplex mathematical problem solving
5400.0%vs9100.0%
Command R
Grok 4.3
GPQAGraduate-level expert reasoning
3500.0%vs8100.0%
Command R
Grok 4.3
HellaSwagCommonsense reasoning and inference
7800.0%vs9750.0%
Command R
Grok 4.3
MT-BenchMulti-turn conversation flow quality
750.0%vs940.0%
Command R
Grok 4.3

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 4.3 Quirks & Gotchas

  • โ–ธStrong coding performance โ€” competitive with Claude Sonnet at similar price point
  • โ–ธUpgrade to Grok 4.20 for improved reasoning and tool calling