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Command R vs Gemini 3.1 Flash

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 Flash.

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 Flash

Gemini 3.1 Flash is Google's high-speed, cost-efficient multimodal model in the 3.1 generation, purpose-built for high-volume content synthesis, classification, and intelligent routing at scale. Featuring a 1-million-token context window, it can process large batches of documents, customer data, or multimedia content in a single inference pass, dramatically reducing pipeline complexity. At just $0.25/MTok for input, it is one of the most affordable routes to Google-caliber multimodal AI, making it an ideal backbone for production pipelines, data enrichment workflows, and high-frequency API integrations.

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Technical Specifications

SpecificationCommand RGemini 3.1 Flash
ProviderCohereGoogle
Context Window128,000 tokens1,000,000 tokens
Agent Suitability78/10086/100
Time to First Token (TTFT)200 ms150 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-03-112026-04-20

API Pricing Comparison

Input Price per Million Tokens

Command R

$0.15

Gemini 3.1 Flash

$0.25

Output Price per Million Tokens

Command R

$0.60

Gemini 3.1 Flash

$1.50

Want to test both models live?

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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%vs8680.0%
Command R
Gemini 3.1 Flash
HumanEvalPython coding & logic synthesis
7300.0%vs8850.0%
Command R
Gemini 3.1 Flash
MATHComplex mathematical problem solving
5400.0%vs7820.0%
Command R
Gemini 3.1 Flash
GPQAGraduate-level expert reasoning
3500.0%vs6050.0%
Command R
Gemini 3.1 Flash
HellaSwagCommonsense reasoning and inference
7800.0%vs9520.0%
Command R
Gemini 3.1 Flash
MT-BenchMulti-turn conversation flow quality
750.0%vs900.0%
Command R
Gemini 3.1 Flash

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

Gemini 3.1 Flash Quirks & Gotchas

  • โ–ธMost cost-effective Google model โ€” ideal for high-volume pipelines
  • โ–ธContext caching available via Vertex AI for repeated document processing