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Claude Opus 4.6 vs DeepSeek R1: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Claude Opus 4.6 (Anthropic) and DeepSeek R1 (DeepSeek). 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

AnthropicClaude Opus 4.6DeepSeekDeepSeek R1

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 97.2% vs Claude Opus 4.6
Alert
BestDeepSeek R1
DeepSeek$4.90$0.000490$2.80$2.1097.2%Alerts coming soon
Claude Opus 4.6
Anthropic$175.00$0.017500$50.00$125.00Alerts 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 TypeClaude Opus 4.6DeepSeek R1Cheaper
Input (standard)$5.00/M$0.28/MDeepSeek R1
Output$25.00/M$0.42/MDeepSeek R1
Cached input$0.50/M$0.03/MDeepSeek R1
Batch input$2.50/MN/A
Batch output$12.50/MN/A

Prices last verified: 2026-03-06 – 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.

VolumeClaude Opus 4.6MonthlyDeepSeek R1MonthlyClaude Opus 4.6Per requestDeepSeek R1Per request
1K requests/mo$17.50$0.49$0.017500$0.000490
10K requests/mo$175.00$4.90$0.017500$0.000490
100K requests/mo$1,750.00$49.00$0.017500$0.000490
1M requests/mo$17,500.00$490.00$0.017500$0.000490

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 Claude Opus 4.6

by Anthropic

  • Code generation
  • Document summarization
  • RAG / Semantic search

Input / 1M tokens

$5.00/M

Output / 1M tokens

$25.00/M

Context window

200,000

Tier

premium

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

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.

CapabilityClaude Opus 4.6DeepSeek R1
Context window200,000 tokens128,000 tokens
Max output tokens128,000 tokens64,000 tokens
Performance tierPremiumReasoning
Vision / image inputYesNo
Function callingYesNo
JSON modeYesYes
Prompt cachingYesYes
Batch API (50% discount)YesNo
Extended reasoningYesYes
Fine-tuningNoNo
Rate limit (req/min)4,000Not published

Claude Opus 4.6 notes

Latest Anthropic flagship. Extended thinking available. Prompt caching reduces cost by up to 90%.

DeepSeek R1 notes

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

Frequently Asked Questions

Is Claude Opus 4.6 cheaper than DeepSeek R1?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), DeepSeek R1 costs $49.00/month versus $1,750.00/month for Claude Opus 4.6 — a 97% 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, Claude Opus 4.6 or DeepSeek R1?

Claude Opus 4.6 has a larger context window at 200,000 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 Claude Opus 4.6 and DeepSeek R1 support the Batch API?

Claude Opus 4.6 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 Claude Opus 4.6 with batch pricing could significantly cut costs versus DeepSeek R1's standard rate.

Which model offers better prompt caching?

Both Claude Opus 4.6 and DeepSeek R1 support prompt caching. Claude Opus 4.6 caches repeated input at $0.50/M (vs $5.00/M standard), while DeepSeek R1 caches at $0.03/M (vs $0.28/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 Claude Opus 4.6 vs DeepSeek R1?

Both models are well-suited for Code generation, Document summarization. Claude Opus 4.6 is particularly strong for RAG / Semantic search. DeepSeek R1 is favored for similar workflows. 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 Claude Opus 4.6 vs DeepSeek R1?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Claude Opus 4.6 costs $0.017500 per request and DeepSeek R1 costs $0.000490 per request. At 100,000 requests/month, that translates to $1,750.00 and $49.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Claude Opus 4.6 vs DeepSeek R1: Summary

When comparing Claude Opus 4.6 and DeepSeek R1 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 $1,750.00/month for Claude Opus 4.6.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Claude Opus 4.6 charges $5.00/M for input tokens and $25.00/M for output tokens. DeepSeek R1 charges $0.28/M input and $0.42/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: Claude Opus 4.6 supports up to 200,000 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 Claude Opus 4.6 or DeepSeek R1 is recommended.