Claude 3.5 Sonnet v2 (Bedrock) vs o3: 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 o3 (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
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Showing costs for 2 models. Cheapest: o3 at $60.00/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
Besto3 | OpenAI | $60.00 | $0.006000 | $20.00 | $40.00 | 42.9% | Alerts coming soon |
Claude 3.5 Sonnet v2 (Bedrock) | AWS Bedrock | $105.00 | $0.010500 | $30.00 | $75.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Claude 3.5 Sonnet v2 (Bedrock) | o3 | Cheaper |
|---|---|---|---|
| Input (standard) | $3.00/M | $2.00/M | o3 |
| Output | $15.00/M | $8.00/M | o3 |
| Cached input | N/A | $0.50/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.
| Volume | Claude 3.5 Sonnet v2 (Bedrock)Monthly | o3Monthly | Claude 3.5 Sonnet v2 (Bedrock)Per request | o3Per request |
|---|---|---|---|---|
| 1K requests/mo | $10.50 | $6.00 | $0.010500 | $0.006000 |
| 10K requests/mo | $105.00 | $60.00 | $0.010500 | $0.006000 |
| 100K requests/mo | $1,050.00 | $600.00 | $0.010500 | $0.006000 |
| 1M requests/mo | $10,500.00 | $6,000.00 | $0.010500 | $0.006000 |
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 tokensWhen 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 o3
by OpenAI
- Code generation
- Document summarization
Input / 1M tokens
$2.00/M
Output / 1M tokens
$8.00/M
Context window
200,000
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.
| Capability | Claude 3.5 Sonnet v2 (Bedrock) | o3 |
|---|---|---|
| Context window | 200,000 tokens | 200,000 tokens |
| Max output tokens | 8,192 tokens | 100,000 tokens |
| Performance tier | Premium | Reasoning |
| Vision / image input | Yes | Yes |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | Yes |
| Batch API (50% discount) | Yes | No |
| Extended reasoning | No | Yes |
| Fine-tuning | No | No |
| Rate limit (req/min) | Not published | 1,000 |
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.
o3 notes
State-of-the-art reasoning performance. Costs reflect internal thinking tokens. Price reduced significantly from launch.
Frequently Asked Questions
Is Claude 3.5 Sonnet v2 (Bedrock) cheaper than o3?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), o3 costs $600.00/month versus $1,050.00/month for Claude 3.5 Sonnet v2 (Bedrock) — a 43% 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 o3?
Both Claude 3.5 Sonnet v2 (Bedrock) and o3 have the same context window: 200,000 tokens.
Do Claude 3.5 Sonnet v2 (Bedrock) and o3 support the Batch API?
Claude 3.5 Sonnet v2 (Bedrock) supports the Batch API (50% discount for async processing), while o3 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 o3's standard rate.
Which model offers better prompt caching?
o3 supports prompt caching at $0.50/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, o3's caching capability can substantially reduce effective costs.
What are the best use cases for Claude 3.5 Sonnet v2 (Bedrock) vs o3?
Both models are well-suited for Code generation. Claude 3.5 Sonnet v2 (Bedrock) is particularly strong for Data extraction, Content Creation. o3 is favored for Document summarization. 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 o3?
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 o3 costs $0.006000 per request. At 100,000 requests/month, that translates to $1,050.00 and $600.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Claude 3.5 Sonnet v2 (Bedrock) vs o3: Summary
When comparing Claude 3.5 Sonnet v2 (Bedrock) and o3 for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. o3 offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $600.00/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. o3 charges $2.00/M input and $8.00/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 o3 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: Both models support 200,000 tokens per request. 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.
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Relevant Use Cases
See cost recommendations for workloads where Claude 3.5 Sonnet v2 (Bedrock) or o3 is recommended.