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Claude 3.5 Sonnet v2 (Bedrock) vs GPT-5.3: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Claude 3.5 Sonnet v2 (Bedrock) (AWS Bedrock) and GPT-5.3 (OpenAI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Mar 11, 2026

Interactive Cost Calculator

AWS BedrockClaude 3.5 Sonnet v2 (Bedrock)OpenAIGPT-5.3

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Tokens in each prompt sent to the model

Tokens generated in each response

Total API calls per month

Showing costs for 2 models. Cheapest: GPT-5.3 at $87.50/month.

Cheapest: GPT-5.3 at $87.50/mo — save 16.7% vs Claude 3.5 Sonnet v2 (Bedrock)
Alert
BestGPT-5.3
OpenAI$87.50$0.008750$17.50$70.0016.7%Alerts coming soon
Claude 3.5 Sonnet v2 (Bedrock)
AWS Bedrock$105.00$0.010500$30.00$75.00Alerts 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 3.5 Sonnet v2 (Bedrock)GPT-5.3Cheaper
Input (standard)$3.00/M$1.75/MGPT-5.3
Output$15.00/M$14.00/MGPT-5.3
Cached inputN/A$0.18/M

Prices last verified: 2026-03-06 – 2026-03-11

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 3.5 Sonnet v2 (Bedrock)MonthlyGPT-5.3MonthlyClaude 3.5 Sonnet v2 (Bedrock)Per requestGPT-5.3Per request
1K requests/mo$10.50$8.75$0.010500$0.008750
10K requests/mo$105.00$87.50$0.010500$0.008750
100K requests/mo$1,050.00$875.00$0.010500$0.008750
1M requests/mo$10,500.00$8,750.00$0.010500$0.008750

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 3.5 Sonnet v2 (Bedrock)

by AWS Bedrock

  • Code generation
  • Data extraction
  • Content Creation

Input / 1M tokens

$3.00/M

Output / 1M tokens

$15.00/M

Context window

200,000

Tier

premium

When to Choose GPT-5.3

by OpenAI

  • Code generation
  • Document summarization
  • RAG / Semantic search

Input / 1M tokens

$1.75/M

Output / 1M tokens

$14.00/M

Context window

128,000

Tier

premium

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 3.5 Sonnet v2 (Bedrock)GPT-5.3
Context window200,000 tokens128,000 tokens
Max output tokens8,192 tokens16,384 tokens
Performance tierPremiumPremium
Vision / image inputYesYes
Function callingYesYes
JSON modeYesYes
Prompt cachingNoYes
Batch API (50% discount)YesNo
Extended reasoningNoNo
Fine-tuningNoNo
Rate limit (req/min)Not published10,000

Claude 3.5 Sonnet v2 (Bedrock) notes

Claude 3.5 Sonnet v2 via AWS Bedrock. Supports computer use. AWS IAM auth with full CloudTrail audit logging.

GPT-5.3 notes

Also available as gpt-5.3-codex for code-optimized tasks. Same pricing.

Frequently Asked Questions

Is Claude 3.5 Sonnet v2 (Bedrock) cheaper than GPT-5.3?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), GPT-5.3 costs $875.00/month versus $1,050.00/month for Claude 3.5 Sonnet v2 (Bedrock) — a 17% 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 3.5 Sonnet v2 (Bedrock) or GPT-5.3?

Claude 3.5 Sonnet v2 (Bedrock) has a larger context window at 200,000 tokens, compared to 128,000 tokens for GPT-5.3. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Claude 3.5 Sonnet v2 (Bedrock) and GPT-5.3 support the Batch API?

Claude 3.5 Sonnet v2 (Bedrock) supports the Batch API (50% discount for async processing), while GPT-5.3 does not. If your workload tolerates up to 24-hour latency, routing to Claude 3.5 Sonnet v2 (Bedrock) with batch pricing could significantly cut costs versus GPT-5.3's standard rate.

Which model offers better prompt caching?

GPT-5.3 supports prompt caching at $0.18/M for cached input, while Claude 3.5 Sonnet v2 (Bedrock) does not offer prompt caching. For RAG applications or chatbots with large, repeated context, GPT-5.3's caching capability can substantially reduce effective costs.

What are the best use cases for Claude 3.5 Sonnet v2 (Bedrock) vs GPT-5.3?

Both models are well-suited for Code generation. Claude 3.5 Sonnet v2 (Bedrock) is particularly strong for Data extraction, Content Creation. GPT-5.3 is favored for Document summarization, RAG / Semantic search. 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 3.5 Sonnet v2 (Bedrock) vs GPT-5.3?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Claude 3.5 Sonnet v2 (Bedrock) costs $0.010500 per request and GPT-5.3 costs $0.008750 per request. At 100,000 requests/month, that translates to $1,050.00 and $875.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Claude 3.5 Sonnet v2 (Bedrock) vs GPT-5.3: Summary

When comparing Claude 3.5 Sonnet v2 (Bedrock) and GPT-5.3 for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. GPT-5.3 offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $875.00/month, compared to $1,050.00/month for Claude 3.5 Sonnet v2 (Bedrock).

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Claude 3.5 Sonnet v2 (Bedrock) charges $3.00/M for input tokens and $15.00/M for output tokens. GPT-5.3 charges $1.75/M input and $14.00/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 GPT-5.3 but not Claude 3.5 Sonnet v2 (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: Claude 3.5 Sonnet v2 (Bedrock) supports up to 200,000 tokens in a single request, versus 128,000 tokens for GPT-5.3. 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 3.5 Sonnet v2 (Bedrock) or GPT-5.3 is recommended.