Claude Opus 4.6 vs GPT-5.1: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Claude Opus 4.6 (Anthropic) and GPT-5.1 (OpenAI). 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
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Showing costs for 2 models. Cheapest: GPT-5.1 at $62.50/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestGPT-5.1 | OpenAI | $62.50 | $0.006250 | $12.50 | $50.00 | 64.3% | Alerts coming soon |
Claude Opus 4.6 | Anthropic | $175.00 | $0.017500 | $50.00 | $125.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Claude Opus 4.6 | GPT-5.1 | Cheaper |
|---|---|---|---|
| Input (standard) | $5.00/M | $1.25/M | GPT-5.1 |
| Output | $25.00/M | $10.00/M | GPT-5.1 |
| Cached input | $0.50/M | $0.13/M | GPT-5.1 |
| Batch input | $2.50/M | N/A | — |
| Batch output | $12.50/M | N/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.
| Volume | Claude Opus 4.6Monthly | GPT-5.1Monthly | Claude Opus 4.6Per request | GPT-5.1Per request |
|---|---|---|---|---|
| 1K requests/mo | $17.50 | $6.25 | $0.017500 | $0.006250 |
| 10K requests/mo | $175.00 | $62.50 | $0.017500 | $0.006250 |
| 100K requests/mo | $1,750.00 | $625.00 | $0.017500 | $0.006250 |
| 1M requests/mo | $17,500.00 | $6,250.00 | $0.017500 | $0.006250 |
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 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 GPT-5.1
by OpenAI
- Code generation
- Content & copywriting
- RAG / Semantic search
Input / 1M tokens
$1.25/M
Output / 1M tokens
$10.00/M
Context window
400,000
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.
| Capability | Claude Opus 4.6 | GPT-5.1 |
|---|---|---|
| Context window | 200,000 tokens | 400,000 tokens |
| Max output tokens | 128,000 tokens | 128,000 tokens |
| Performance tier | Premium | Premium |
| Vision / image input | Yes | Yes |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | Yes | Yes |
| Batch API (50% discount) | Yes | No |
| Extended reasoning | Yes | No |
| Fine-tuning | No | No |
| Rate limit (req/min) | 4,000 | 10,000 |
Claude Opus 4.6 notes
Latest Anthropic flagship. Extended thinking available. Prompt caching reduces cost by up to 90%.
GPT-5.1 notes
1M context window. Strong all-around performance between GPT-5.2 and GPT-5.
Frequently Asked Questions
Is Claude Opus 4.6 cheaper than GPT-5.1?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), GPT-5.1 costs $625.00/month versus $1,750.00/month for Claude Opus 4.6 — a 64% 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 GPT-5.1?
GPT-5.1 has a larger context window at 400,000 tokens, compared to 200,000 tokens for Claude Opus 4.6. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Claude Opus 4.6 and GPT-5.1 support the Batch API?
Claude Opus 4.6 supports the Batch API (50% discount for async processing), while GPT-5.1 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 GPT-5.1's standard rate.
Which model offers better prompt caching?
Both Claude Opus 4.6 and GPT-5.1 support prompt caching. Claude Opus 4.6 caches repeated input at $0.50/M (vs $5.00/M standard), while GPT-5.1 caches at $0.13/M (vs $1.25/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 GPT-5.1?
Both models are well-suited for Code generation, RAG / Semantic search. Claude Opus 4.6 is particularly strong for Document summarization. GPT-5.1 is favored for Content & copywriting. 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 GPT-5.1?
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 GPT-5.1 costs $0.006250 per request. At 100,000 requests/month, that translates to $1,750.00 and $625.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Claude Opus 4.6 vs GPT-5.1: Summary
When comparing Claude Opus 4.6 and GPT-5.1 for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. GPT-5.1 offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $625.00/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. GPT-5.1 charges $1.25/M input and $10.00/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: GPT-5.1 supports up to 400,000 tokens in a single request, versus 200,000 tokens for Claude Opus 4.6. 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 Opus 4.6 or GPT-5.1 is recommended.