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Command R vs Gemini 3.1 Pro Preview

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 Gemini 3.1 Pro Preview.

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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Google

Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

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Technical Specifications

SpecificationCommand RGemini 3.1 Pro Preview
ProviderCohereGoogle
Context Window128,000 tokens1,048,576 tokens
Agent Suitability78/100N/A
Time to First Token (TTFT)200 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-03-112026-02-19

API Pricing Comparison

Input Price per Million Tokens

Command R

$0.15

Gemini 3.1 Pro Preview

$2.00

Output Price per Million Tokens

Command R

$0.60

Gemini 3.1 Pro Preview

$12.00

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
7100.0%vsN/A
Command R
Gemini 3.1 Pro Preview
HumanEvalPython coding & logic synthesis
7300.0%vsN/A
Command R
Gemini 3.1 Pro Preview
MATHComplex mathematical problem solving
5400.0%vsN/A
Command R
Gemini 3.1 Pro Preview
GPQAGraduate-level expert reasoning
3500.0%vsN/A
Command R
Gemini 3.1 Pro Preview
HellaSwagCommonsense reasoning and inference
7800.0%vsN/A
Command R
Gemini 3.1 Pro Preview
MT-BenchMulti-turn conversation flow quality
750.0%vsN/A
Command R
Gemini 3.1 Pro Preview

Command R Quirks & Gotchas

  • Cost-effective RAG model — strong multilingual search performance
  • Limited agentic capability — use Command R+ for complex multi-step tool use

Gemini 3.1 Pro Preview Quirks & Gotchas

No developer gotchas reported.