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Command R vs Gemini 3 Flash: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Command R (Cohere) and Gemini 3 Flash (Google). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Mar 8, 2026

Interactive Cost Calculator

CohereCommand RGoogleGemini 3 Flash

Fills in typical token counts for a workload type

Tokens in each prompt sent to the model

Tokens generated in each response

Total API calls per month

Showing costs for 2 models. Cheapest: Command R at $12.50/month.

Cheapest: Command R at $12.50/mo — save 37.5% vs Gemini 3 Flash
Alert
BestCommand R
Cohere$12.50$0.001250$5.00$7.5037.5%Alerts coming soon
Gemini 3 Flash
Google$20.00$0.002000$5.00$15.00Alerts coming soon

Monthly Cost Comparison

Price Comparison at a Glance

All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.

Pricing TypeCommand RGemini 3 FlashCheaper
Input (standard)$0.50/M$0.50/M
Output$1.50/M$3.00/MCommand R
Cached inputN/A$0.05/M
Batch inputN/A$0.25/M
Batch outputN/A$1.50/M

Prices last verified: 2026-03-06 – 2026-03-08

Cost Breakdown by Usage Volume

Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.

VolumeCommand RMonthlyGemini 3 FlashMonthlyCommand RPer requestGemini 3 FlashPer request
1K requests/mo$1.25$2.00$0.001250$0.002000
10K requests/mo$12.50$20.00$0.001250$0.002000
100K requests/mo$125.00$200.00$0.001250$0.002000
1M requests/mo$1,250.00$2,000.00$0.001250$0.002000

Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.

Price History

Input price per 1M tokens

When to Choose Command R

by Cohere

  • RAG / Semantic search
  • General chatbot
  • Customer support

Input / 1M tokens

$0.50/M

Output / 1M tokens

$1.50/M

Context window

128,000

Tier

mid

When to Choose Gemini 3 Flash

by Google

  • General chatbot
  • Customer support
  • Code generation

Input / 1M tokens

$0.50/M

Output / 1M tokens

$3.00/M

Context window

1,048,576

Tier

mid

Key Differences Beyond Price

Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.

CapabilityCommand RGemini 3 Flash
Context window128,000 tokens1,048,576 tokens
Max output tokens4,096 tokens65,536 tokens
Performance tierMidMid
Vision / image inputNoYes
Function callingYesYes
JSON modeYesYes
Prompt cachingNoYes
Batch API (50% discount)NoYes
Extended reasoningNoYes
Fine-tuningNoNo
Rate limit (req/min)Not published4,000

Command R notes

Good price/performance for RAG. Native tool use and multi-hop reasoning.

Gemini 3 Flash notes

Preview model. Thinking tokens available.

Frequently Asked Questions

Is Command R cheaper than Gemini 3 Flash?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Command R costs $125.00/month versus $200.00/month for Gemini 3 Flash — a 38% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.

Which model has a larger context window, Command R or Gemini 3 Flash?

Gemini 3 Flash has a larger context window at 1,048,576 tokens, compared to 128,000 tokens for Command R. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Command R and Gemini 3 Flash support the Batch API?

Gemini 3 Flash supports the Batch API (50% discount for async processing), while Command R does not. If your workload tolerates up to 24-hour latency, routing to Gemini 3 Flash with batch pricing could significantly cut costs versus Command R's standard rate.

Which model offers better prompt caching?

Gemini 3 Flash supports prompt caching at $0.05/M for cached input, while Command R does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Gemini 3 Flash's caching capability can substantially reduce effective costs.

What are the best use cases for Command R vs Gemini 3 Flash?

Both models are well-suited for General chatbot, Customer support. Command R is particularly strong for RAG / Semantic search. Gemini 3 Flash is favored for Code generation. At the same quality level, the lower-cost model is usually preferable; use this page's calculator to compare total monthly spend at your volume.

What is the cost per request for Command R vs Gemini 3 Flash?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Command R costs $0.001250 per request and Gemini 3 Flash costs $0.002000 per request. At 100,000 requests/month, that translates to $125.00 and $200.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Command R vs Gemini 3 Flash: Summary

When comparing Command R and Gemini 3 Flash for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Command R offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $125.00/month, compared to $200.00/month for Gemini 3 Flash.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Command R charges $0.50/M for input tokens and $1.50/M for output tokens. Gemini 3 Flash charges $0.50/M input and $3.00/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.

Prompt caching is supported by Gemini 3 Flash but not Command R. For workloads with large, repeated system prompts or document context — such as RAG pipelines or multi-turn conversations with a fixed knowledge base — prompt caching can reduce effective input costs by 60–90%, which may change the cost ranking between these two models at your specific usage pattern.

Context window capacity differs between the two: Gemini 3 Flash supports up to 1,048,576 tokens in a single request, versus 128,000 tokens for Command R. A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.

Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.

Explore other model comparisons from the same providers or performance tiers.

Related Provider Pages

View complete pricing tables and model lineups for the providers behind these models.

Relevant Use Cases

See cost recommendations for workloads where Command R or Gemini 3 Flash is recommended.