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DeepSeek V3.2 (Bedrock) vs Gemini 2.5 Flash: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for DeepSeek V3.2 (Bedrock) (AWS Bedrock) and Gemini 2.5 Flash (Google). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Mar 24, 2026

Interactive Cost Calculator

AWS BedrockDeepSeek V3.2 (Bedrock)GoogleGemini 2.5 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 V3.2 (Bedrock) at $15.45/month.

Cheapest: DeepSeek V3.2 (Bedrock) at $15.45/mo — save 0.3% vs Gemini 2.5 Flash
Alert
BestDeepSeek V3.2 (Bedrock)
AWS Bedrock$15.45$0.001545$6.20$9.250.3%Alerts coming soon
Gemini 2.5 Flash
Google$15.50$0.001550$3.00$12.50Alerts 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 V3.2 (Bedrock)Gemini 2.5 FlashCheaper
Input (standard)$0.62/M$0.30/MGemini 2.5 Flash
Output$1.85/M$2.50/MDeepSeek V3.2 (Bedrock)
Cached inputN/A$0.03/M
Batch inputN/A$0.15/M
Batch outputN/A$1.25/M

Prices last verified: 2026-03-11 – 2026-03-24

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 V3.2 (Bedrock)MonthlyGemini 2.5 FlashMonthlyDeepSeek V3.2 (Bedrock)Per requestGemini 2.5 FlashPer request
1K requests/mo$1.54$1.55$0.001545$0.001550
10K requests/mo$15.45$15.50$0.001545$0.001550
100K requests/mo$154.50$155.00$0.001545$0.001550
1M requests/mo$1,545.00$1,550.00$0.001545$0.001550

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 V3.2 (Bedrock)

by AWS Bedrock

  • Code generation
  • Summarization
  • General chatbot

Input / 1M tokens

$0.62/M

Output / 1M tokens

$1.85/M

Context window

128,000

Tier

mid

When to Choose Gemini 2.5 Flash

by Google

  • Customer support
  • Data extraction
  • General chatbot

Input / 1M tokens

$0.30/M

Output / 1M tokens

$2.50/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 V3.2 (Bedrock)Gemini 2.5 Flash
Context window128,000 tokens1,048,576 tokens
Max output tokens8,192 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

DeepSeek V3.2 (Bedrock) notes

DeepSeek V3.2 via AWS Bedrock. Excellent cost/performance ratio for coding and reasoning tasks, with AWS compliance and security guarantees.

Gemini 2.5 Flash notes

Thinking tokens billed separately. Base non-thinking pricing shown.

Frequently Asked Questions

Is DeepSeek V3.2 (Bedrock) cheaper than Gemini 2.5 Flash?

DeepSeek V3.2 (Bedrock) and Gemini 2.5 Flash cost the same at standard usage (1,000 input + 500 output tokens, 100K requests/month): $154.50/month each. For different token ratios, use the calculator above.

Which model has a larger context window, DeepSeek V3.2 (Bedrock) or Gemini 2.5 Flash?

Gemini 2.5 Flash has a larger context window at 1,048,576 tokens, compared to 128,000 tokens for DeepSeek V3.2 (Bedrock). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do DeepSeek V3.2 (Bedrock) and Gemini 2.5 Flash support the Batch API?

Gemini 2.5 Flash supports the Batch API (50% discount for async processing), while DeepSeek V3.2 (Bedrock) does not. If your workload tolerates up to 24-hour latency, routing to Gemini 2.5 Flash with batch pricing could significantly cut costs versus DeepSeek V3.2 (Bedrock)'s standard rate.

Which model offers better prompt caching?

Gemini 2.5 Flash supports prompt caching at $0.03/M for cached input, while DeepSeek V3.2 (Bedrock) does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Gemini 2.5 Flash's caching capability can substantially reduce effective costs.

What are the best use cases for DeepSeek V3.2 (Bedrock) vs Gemini 2.5 Flash?

Both models are well-suited for General chatbot. DeepSeek V3.2 (Bedrock) is particularly strong for Code generation, Summarization. Gemini 2.5 Flash is favored for Customer support, Data extraction. 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 V3.2 (Bedrock) vs Gemini 2.5 Flash?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — DeepSeek V3.2 (Bedrock) costs $0.001545 per request and Gemini 2.5 Flash costs $0.001550 per request. At 100,000 requests/month, that translates to $154.50 and $155.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

DeepSeek V3.2 (Bedrock) vs Gemini 2.5 Flash: Summary

When comparing DeepSeek V3.2 (Bedrock) and Gemini 2.5 Flash for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. DeepSeek V3.2 (Bedrock) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $154.50/month, compared to $155.00/month for Gemini 2.5 Flash.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. DeepSeek V3.2 (Bedrock) charges $0.62/M for input tokens and $1.85/M for output tokens. Gemini 2.5 Flash charges $0.30/M input and $2.50/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 2.5 Flash but not DeepSeek V3.2 (Bedrock). 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 2.5 Flash supports up to 1,048,576 tokens in a single request, versus 128,000 tokens for DeepSeek V3.2 (Bedrock). 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 V3.2 (Bedrock) or Gemini 2.5 Flash is recommended.