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DeepSeek R1 vs Gemini 3 Flash: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for DeepSeek R1 (DeepSeek) 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

DeepSeekDeepSeek R1GoogleGemini 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: DeepSeek R1 at $4.90/month.

Cheapest: DeepSeek R1 at $4.90/mo — save 75.5% vs Gemini 3 Flash
Alert
BestDeepSeek R1
DeepSeek$4.90$0.000490$2.80$2.1075.5%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 TypeDeepSeek R1Gemini 3 FlashCheaper
Input (standard)$0.28/M$0.50/MDeepSeek R1
Output$0.42/M$3.00/MDeepSeek R1
Cached input$0.03/M$0.05/MDeepSeek R1
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.

VolumeDeepSeek R1MonthlyGemini 3 FlashMonthlyDeepSeek R1Per requestGemini 3 FlashPer request
1K requests/mo$0.49$2.00$0.000490$0.002000
10K requests/mo$4.90$20.00$0.000490$0.002000
100K requests/mo$49.00$200.00$0.000490$0.002000
1M requests/mo$490.00$2,000.00$0.000490$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 DeepSeek R1

by DeepSeek

  • Code generation
  • Document summarization

Input / 1M tokens

$0.28/M

Output / 1M tokens

$0.42/M

Context window

128,000

Tier

reasoning

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.

CapabilityDeepSeek R1Gemini 3 Flash
Context window128,000 tokens1,048,576 tokens
Max output tokens64,000 tokens65,536 tokens
Performance tierReasoningMid
Vision / image inputNoYes
Function callingNoYes
JSON modeYesYes
Prompt cachingYesYes
Batch API (50% discount)NoYes
Extended reasoningYesYes
Fine-tuningNoNo
Rate limit (req/min)Not published4,000

DeepSeek R1 notes

V3.2 unified pricing. Open-source weights available. Off-peak discounts available.

Gemini 3 Flash notes

Preview model. Thinking tokens available.

Frequently Asked Questions

Is DeepSeek R1 cheaper than Gemini 3 Flash?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), DeepSeek R1 costs $49.00/month versus $200.00/month for Gemini 3 Flash — a 76% 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, DeepSeek R1 or Gemini 3 Flash?

Gemini 3 Flash has a larger context window at 1,048,576 tokens, compared to 128,000 tokens for DeepSeek R1. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do DeepSeek R1 and Gemini 3 Flash support the Batch API?

Gemini 3 Flash supports the Batch API (50% discount for async processing), while DeepSeek R1 does not. If your workload tolerates up to 24-hour latency, routing to Gemini 3 Flash with batch pricing could significantly cut costs versus DeepSeek R1's standard rate.

Which model offers better prompt caching?

Both DeepSeek R1 and Gemini 3 Flash support prompt caching. DeepSeek R1 caches repeated input at $0.03/M (vs $0.28/M standard), while Gemini 3 Flash caches at $0.05/M (vs $0.50/M standard). For workloads with large, repeated system prompts or document context, caching can reduce effective input costs by 60–90%.

What are the best use cases for DeepSeek R1 vs Gemini 3 Flash?

Both models are well-suited for Code generation. DeepSeek R1 is particularly strong for Document summarization. Gemini 3 Flash is favored for General chatbot, Customer support. 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 DeepSeek R1 vs Gemini 3 Flash?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — DeepSeek R1 costs $0.000490 per request and Gemini 3 Flash costs $0.002000 per request. At 100,000 requests/month, that translates to $49.00 and $200.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

DeepSeek R1 vs Gemini 3 Flash: Summary

When comparing DeepSeek R1 and Gemini 3 Flash for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. DeepSeek R1 offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $49.00/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. DeepSeek R1 charges $0.28/M for input tokens and $0.42/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 both models. 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 DeepSeek R1. 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 DeepSeek R1 or Gemini 3 Flash is recommended.