Claude Sonnet 5.5
- Input / 1M tokens
- $2.00
- Output / 1M tokens
- $10.00
API models · Side by side
Claude Sonnet 5.5 vs GPT-6 Sol
Sonnet 5.5 and GPT-6 Sol start at the same token prices. The more useful differences are long-document costs, prompt caching and the controls available when you build with them.
GPT-6 Sol
- Input / 1M tokens
- $2.00
- Output / 1M tokens
- $10.00
The short answer
For short, uncached requests, neither model has a price advantage. Sol accepts 50,000 more context tokens. Sonnet has a lower cached-input rate in this comparison, while Sol applies higher rates to prompts at its long-context threshold.
Compare the details
Compare context, supported inputs and usage costs. Highlighted rows show a difference.
| Feature | Claude Sonnet 5.5 | GPT-6 Sol |
|---|---|---|
| Input formats | file, image, text | file, image, text |
| Output formats | text | text |
| Context / position limit | 1,000,000 | 1,050,000 |
| Maximum output tokens | 128,000 | 128,000 |
| Developer features | Reasoning output, Completion limit, Output limit, Reasoning controls, Thinking effort, Response format, Stop sequences, Structured output, Tool selection, Tool calling, Response length | Reasoning output, Completion limit, Output limit, Reasoning controls, Thinking effort, Response format, Seed, Structured output, Tool selection, Tool calling, Response length |
| Cached input / 1M tokens | $0.10 | $0.20 |
| Cache write / 1M tokens | $2.50 | $2.50 |
| USD input / 1M tokens | $2.00 | $2.00 |
| USD output / 1M tokens | $10.00 | $10.00 |
| Model identifier | anthropic/claude-sonnet-5.5 | openai/gpt-6-sol |
API pricing
Prices are in USD per million tokens. Input is what you send; output is what the model generates. Claude and ChatGPT subscriptions are billed separately.
GPT-6 Sol: long-prompt rates
- Long-prompt threshold: 272,000 prompt tokens. Input: $4.00 / 1M. Output: $15.00 / 1M.
Tools, images and additional reasoning can add charges. The examples below cover input and output tokens only.
Compare local modelsWhat those prices mean in practice
Each example uses the same token budget for both models. These are calculations, not measured workloads. Cache discounts, media, tools and extra reasoning are excluded.
| Workload | Claude Sonnet 5.5 | GPT-6 Sol |
|---|---|---|
| 1,000 short requestsPer request: 2,000 input + 500 output tokens | $9.00 | $9.00 |
| 100 document summariesPer request: 20,000 input + 1,000 output tokens | $5.00 | $5.00 |
| 10 long-document requestsPer request: 300,000 input + 2,000 output tokens | $6.20 | $12.30 |
Estimate = requests × (input tokens × input price + output tokens × output price) ÷ 1,000,000. Long-prompt rates are applied where the pricing data provides them. Real requests can use different amounts of output.
Beyond the price tag
Coding and automation
Both support tool calls and structured responses. That matters when your application needs to call a function, edit a file or return JSON that another service can read. Switching models still means checking your prompts, schemas and error handling; accepting the same input formats does not make two integrations interchangeable.
Working with long documents
Sonnet allows a context window of one million tokens; Sol allows 1.05 million. That extra room can matter near the limit, but most everyday requests are much smaller. The input includes conversation history and attached content, and the output also needs room. Split or trim documents when you do not need all of their contents in every request.
Repeated prompts and caching
If many requests begin with the same instructions or reference material, cached input can reduce the bill. The cached-input rates above apply to eligible cache reads, not to every token you send. Writing a cache and keeping it available can have separate charges. Check your integration before budgeting every repeated request at the cached rate.
Which should you choose?
If cost is your main concern, start with the examples above: ordinary requests tie at these base rates, while long prompts and cache reads can separate them. If you already have a working Claude or GPT integration, switching is worthwhile only when a concrete requirement improves—such as a needed control, sufficient context or a lower bill for your actual requests. The published specifications alone do not establish which writes better code or prose.
Common questions
Does the same price mean the same result?
No. The models can produce different answers and use different amounts of output. Equal rates only mean the same number of billable input and output tokens has the same base cost.
Can either model run on my own computer?
These are hosted models. This comparison does not include downloadable weights for either. For a local setup, compare downloadable models such as Qwen and Llama and use the computer-fit tool.
Is this the monthly price of Claude or ChatGPT?
No. These are token charges for application usage. Consumer subscriptions have separate prices, features and usage limits.