OpenAI’s launch materials and API documentation list GPT-5.5 pricing, context limits, and benchmark results, while a third-party Axis Intelligence article frames the model against Claude Opus 4.8. The Claude-side figures should be treated cautiously unless verified against Anthropic sources.
OpenAI has published launch and API documentation for GPT-5.5, giving developers concrete figures on pricing, context length, output limits, and selected benchmark results.
In its “Introducing GPT‑5.5” post, OpenAI says GPT‑5.5 reached 82.7% on Terminal-Bench 2.0 and 58.6% on SWE-Bench Pro. The same OpenAI launch post lists API pricing at $5 per 1 million input tokens and $30 per 1 million output tokens.
OpenAI’s API model documentation describes GPT-5.5 as a frontier model intended for “complex professional work.” The model catalog lists a 1,050,000-token context window and 128,000 maximum output tokens, alongside the same $5 input / $30 output per 1 million tokens pricing.
Those figures are the strongest corroborated details available from the cited materials because they come directly from OpenAI’s own launch and developer documentation.
Axis Intelligence published a June 4 article titled “GPT-5.5 vs Claude Opus 4.8 (2026): Benchmarks, Pricing & Verdict Complete Guide.” According to the article excerpt, the comparison directly contrasts GPT-5.5 and Claude Opus 4.8 across context window, API input and output pricing, SWE-bench, Terminal-Bench, OSWorld-Verified, and Artificial Analysis scores.
However, the provided source materials include OpenAI documentation but do not include Anthropic documentation or a primary Anthropic source for Claude Opus 4.8. That matters because model comparisons are only as reliable as the underlying benchmark methodology, date of testing, model versions, and pricing references.
The OpenAI numbers are specific and attributable: the GPT‑5.5 context window, output cap, benchmark scores, and API prices are all listed by OpenAI in either its launch post or API model catalog.
By contrast, Claude Opus 4.8 figures mentioned in the Axis Intelligence comparison should be verified against Anthropic’s own materials before being treated as definitive. Without a primary Anthropic reference, it is not possible to independently confirm the Claude-side benchmark, pricing, or context-window claims from the supplied sources alone.
That does not make the Axis Intelligence comparison unusable, but it does limit what can responsibly be concluded. The article can serve as a pointer to the kinds of metrics buyers and developers may want to compare: token pricing, context length, output limits, coding benchmarks, terminal-task performance, and broader agentic-computer-use evaluations.
For GPT‑5.5, OpenAI’s own materials provide clear published figures: 1,050,000 tokens of context, 128,000 maximum output tokens, $5 per 1 million input tokens, $30 per 1 million output tokens, 82.7% on Terminal-Bench 2.0, and 58.6% on SWE-Bench Pro.
For the broader “GPT‑5.5 vs Claude Opus 4.8” verdict, readers should look for primary Anthropic documentation and benchmark disclosures before relying on any head-to-head ranking. The most defensible conclusion from the cited sources is that OpenAI has disclosed detailed GPT‑5.5 specifications and benchmark claims, while the comparative Claude-side claims require additional verification.
OpenAI has published launch and API documentation for GPT 5.5, giving developers concrete figures on pricing, context length, output limits, and selected benchmark results.
What OpenAI says about GPT 5.5 In its “Introducing GPT‑5.5” post, OpenAI says GPT‑5.5 reached 82.7% on Terminal Bench 2.0 and 58.6% on SWE Bench Pro .
The same OpenAI launch post lists API pricing at $5 per 1 million input tokens and $30 per 1 million output tokens .
Continue reading
