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-6.1 Sol
Compare Claude’s Sonnet 5.5 with GPT-6.1 Sol for document, image and text workflows. Start with context, cache pricing and the features your integration uses.
GPT-6.1 Sol
- Input / 1M tokens
- $2.00
- Output / 1M tokens
- $10.00
The short answer
Both accept text, images and files. Their supported controls and cache rates deserve attention even when a short-request cost example looks similar. A matching input format does not make the two APIs interchangeable.
Compare the details
Compare context, supported inputs and usage costs. Highlighted rows show a difference.
| Feature | Claude Sonnet 5.5 | GPT-6.1 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 | $0.10 |
| 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-6.1-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-6.1 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-6.1 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
Tool calls and structured responses
Both support tools and structured output in the current catalog. An application still has to supply its tool definitions and handle returned arguments. When moving between vendors, compare the fields your workflow actually uses rather than assuming an accepted JSON response will match every downstream expectation.
Repeated reference material
Sending the same instructions or background documents repeatedly makes cache behavior worth examining. A cached-input price applies to eligible reads; it does not mean every repeated prompt is charged that way. Cache writing and longer prompt tiers belong in the budget as separate conditions.
The cost of switching
Model changes can affect formatting, answer length and tool choices. Keep the old model identifier available in configuration while reviewing the replacement’s outputs. The table establishes published capacity and charges; it does not measure which model produces the most useful answer for your codebase or documents.
Common questions
Are these monthly subscription prices?
No. The table compares token charges for using these models in an application. Consumer subscriptions have their own prices and usage rules.
Do the cost examples include everything?
They include input and output token charges under the stated assumptions. Media, tools, additional reasoning and cache operations can add different charges.