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Model comparison

Claude Sonnet 5.5 vs GPT-6.1 Sol: pricing, context and features compared

Claude Sonnet 5.5 costs $2 per million input tokens and $10 per million output tokens; GPT-6.1 Sol costs $2 and $10. Here is how they compare on specs, on what real workloads cost, and on which to pick for what, from prices updated daily.

Sonnet and Sol are the mid-priced general-purpose models from Anthropic and OpenAI, and a common shortlist for coding assistants, agents and document work. Their list prices are close, so the details (caching, long-prompt surcharges, tokenizers) decide the bill.

Input / 1M
$2
Output / 1M
$10
Context
1,000,000
Max output
128,000
Full Claude Sonnet 5.5 pricing and specs
Input / 1M
$2
Output / 1M
$10
Context
1,050,000
Max output
128,000
Full GPT-6.1 Sol pricing and specs

Verdict

Claude Sonnet 5.5 or GPT-6.1 Sol: which to pick

Claude Sonnet 5.5 and GPT-6.1 Sol have about the same list prices per token. On our data, Claude Sonnet 5.5 has the edge for very long prompts, and GPT-6.1 Sol has no measurable edge; its case rests on answer quality, so choose it only if it does clearly better in your own tests. For scale, a support chatbot handling 1,000 requests a day costs about $169.57 a month on Claude Sonnet 5.5 and $169.57 on GPT-6.1 Sol.

Lowest bill for typical workloadsEither
Both cost about the same on all 4 workloads below.
Very long prompts (whole codebases, long documents)Pick Claude Sonnet 5.5
Both read about 1,000,000 tokens per request. One 800,000-token prompt with a 2,000-token reply costs $1.62 on Claude Sonnet 5.5 and $3.23 on GPT-6.1 Sol. GPT-6.1 Sol charges $4 / $15 per 1M once a prompt passes 272,000 tokens.
Long replies (reports, large code files)Either
Both cap a single reply at about 128,000 tokens.
Images, audio, video or files in the promptEither
Both accept images and files as well as text.
Repeated long prompts (prompt caching)Either
Both bill cached input at about $0.10 per 1M tokens.
Overnight batch jobsEither
Both offer batch prices and cost about the same on the document summariser workload.
Self-hosting or choosing your own hostEither
Neither has downloadable weights: both are only available through their provider’s API and cloud partners.

Criteria use only list prices, published limits and the features each provider declares. We don’t rank answer quality; test both models on your own prompts before you commit.

Specs

Claude Sonnet 5.5 vs GPT-6.1 Sol side by side

Specs of Claude Sonnet 5.5 and GPT-6.1 Sol; the better value on each row is marked
SpecClaude Sonnet 5.5GPT-6.1 Sol
ProviderAnthropicOpenAI
Input / 1M tokens$2$2
Output / 1M tokens$10$10
Cached input / 1M$0.10$0.10
Cache write / 1M$2.50$2.50
Batch in / out$1 / $5$1 / $5
Long-prompt priceNone$4 / $15 over 272,000
Context window1,000,0001,050,000 (better)
Max output128,000128,000
Acceptstext, images, filestext, images, files
Image inputYesYes
Tool callingYesYes
Reasoning modeYesYes
Prompt cachingYesYes
Structured outputYesYes
Open weightsNoNo
Knowledge cutoffNot publishedNot published
First listed2026-09-282026-09-29

Prices in US dollars per million tokens. Highlighted: the lower price or larger limit where the difference is over 5%. Features are as declared by each provider’s API; “First listed” is when our data source first listed the model. Long-prompt prices apply to the whole request once the prompt passes the threshold.

Costs

What Claude Sonnet 5.5 and GPT-6.1 Sol cost for real workloads

WorkloadTokens in / outRequests/dayClaude Sonnet 5.5 / monthGPT-6.1 Sol / monthCheaper
Support chatbotCalculator: Claude Sonnet 5.5 · GPT-6.1 Sol1,500 / 4001,000$169.5750% cached$169.5750% cachedAbout the same
RAG appCalculator: Claude Sonnet 5.5 · GPT-6.1 Sol6,000 / 500500$223.8720% cached$223.8720% cachedAbout the same
Coding agentCalculator: Claude Sonnet 5.5 · GPT-6.1 Sol40,000 / 2,000200$238.4780% cached$238.4780% cachedAbout the same
Document summariserCalculator: Claude Sonnet 5.5 · GPT-6.1 Sol8,000 / 600300$100.38batch$100.38batchAbout the same

Each row uses the same token counts for both models and list prices, with caching and batch discounts only where the provider publishes them. A month is 365 ÷ 12 days. The support chatbot reads 50% of its prompt from the cache. The RAG app reads 20% of its prompt from the cache. The coding agent reads 80% of its prompt from the cache. The document summariser runs as a batch job where a batch price exists. Open either model in the LLM cost calculator to change any number.

Tokenizers

Are their per-token prices comparable?

Not exactly. Each model splits text into tokens its own way, so the same prompt can be a different number of tokens on Claude Sonnet 5.5 and GPT-6.1 Sol, and the cheaper per-token price isn’t always the cheaper bill. Where a tokenizer isn’t public or measured we say so rather than guess.

ModelTokenizerTokens per 1,000 wordsOutput per 1M words
Claude Sonnet 5.5Claude (Opus 4.7 and later)Provider’s published figure1,802$18.02
GPT-6.1 SolOpenAI hasn’t published the tokenizer GPT-6.1 Sol uses, so its count for a given text isn’t known exactly.

English prose, measured on the Universal Declaration of Human Rights (2026-10-11) or taken from the provider’s published words-per-token figure. Code, JSON and other languages use more tokens per word. Count your own text in the token counter or convert with tokens to words.

FAQ

Claude Sonnet 5.5 vs GPT-6.1 Sol questions

Is Claude Sonnet 5.5 cheaper than GPT-6.1 Sol?

Claude Sonnet 5.5 costs $2 per million input tokens and $10 per million output tokens; GPT-6.1 Sol costs $2 and $10. For a support chatbot handling 1,000 requests a day, that is about $169.57 a month on Claude Sonnet 5.5 against $169.57 on GPT-6.1 Sol, so neither is meaningfully cheaper there. Try your own numbers in the LLM cost calculator.

Which has the bigger context window, Claude Sonnet 5.5 or GPT-6.1 Sol?

GPT-6.1 Sol has the slightly larger context window. Claude Sonnet 5.5 reads up to 1,000,000 tokens (roughly 750,000 English words) and writes up to 128,000 tokens per reply. GPT-6.1 Sol reads up to 1,050,000 tokens (roughly 787,500 English words) and writes up to 128,000 tokens per reply. The window is shared between your prompt and the reply. Word counts use a rough 0.75 words per token; real ratios depend on the tokenizer.

Is Claude Sonnet 5.5 or GPT-6.1 Sol better for coding?

We don’t publish benchmark scores, so this page can’t say which writes better code. What we can show is cost: a coding agent re-sending 40,000 tokens of context (80% cached) and writing 2,000 tokens, 200 times a day, costs about $238.47 a month on Claude Sonnet 5.5 and $238.47 on GPT-6.1 Sol. Both support tool calling. Test both on tasks from your own repository.

Can Claude Sonnet 5.5 and GPT-6.1 Sol read images?

Claude Sonnet 5.5 accepts images and files as well as text. GPT-6.1 Sol accepts images and files as well as text. So both can read screenshots, photos and scanned pages. This is what each provider declares for its API, not a measure of how well it works.

Are Claude Sonnet 5.5 and GPT-6.1 Sol open source?

No. Neither Claude Sonnet 5.5 nor GPT-6.1 Sol has published weights: you can only use them through Anthropic’s and OpenAI’s APIs and their cloud partners. If you need a model you can host yourself, compare open-weight options in the model comparison table.

Do Claude Sonnet 5.5 and GPT-6.1 Sol count tokens the same way?

Not necessarily. Each model splits text into tokens with its own tokenizer, so the same prompt can be a different number of tokens on each, and per-token prices aren’t directly comparable. Claude Sonnet 5.5 uses about 1,802 tokens per 1,000 English words (the provider’s published figure). OpenAI hasn’t published the tokenizer GPT-6.1 Sol uses, so its count for a given text isn’t known exactly. Count your own text with the token counter or convert with tokens to words.

Updated

Sources: OpenRouter models API and LiteLLM model prices and context windows, checked daily; open-weight prices are typical hosted prices. Tokenizer figures: our measurements and Anthropic’s published words-per-token figure (see tokens to words). Confirm critical numbers on each provider’s pricing page. See our methodology.