Analysis Summary
GPT-5.5 is a full OpenAI configuration with text, image, and file input, vision, tool use, and function calling. Its 1.05M-token context window supports large codebases, document collections, research projects, and complex multi-stage briefs. The supplied output price is the highest in this batch, making economical routing essential.
It is designed for high-value coding assistance, long-context analysis, multimodal work, and supervised agents that need broad API capabilities. However, this batch variant has no separate benchmark record in the supplied data, so its actual reliability cannot be confirmed from the listing alone. Adopt it only after direct evaluation on client tasks, reserving the premium configuration for work where deeper responses justify the token cost.
Assessed August 9, 2026
Editorial notes
GPT-5.5 combines a 1.05M-token context with vision, file input, tool use, and function calling for demanding client workflows. This batch variant has no separate benchmark record, while its premium pricing favours high-value use.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.5 combines a 1.05M-token context with vision, file input, tool use, and function calling for demanding client workflows. This batch variant has no separate benchmark record, while its premium pricing favours high-value use.
How OpenAI: GPT-5.5 (batch) compares
OpenAI: GPT-5.5 (batch) ranks #11 of 420 AI models we track for overall intelligence, #7 of 193 for coding, #24 of 175 for agentic tasks. Its 1.1M-token context window is larger than 98% of the models we list. At $2.50 per million input tokens it is cheaper than 14% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on intelligence. The pulled-in content corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.50 | $0.002500 |
| Output | $15.00 | $0.015000 |
What would OpenAI: GPT-5.5 (batch) cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-5.5 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5.5 (batch)
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token..
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Frequently asked questions about OpenAI: GPT-5.5 (batch)
How much does OpenAI: GPT-5.5 (batch) cost?
OpenAI: GPT-5.5 (batch) costs $2.50 per million input tokens and $15.00 per million output tokens.
What is the context window of OpenAI: GPT-5.5 (batch)?
OpenAI: GPT-5.5 (batch) has a context window of 1,050,000 tokens (1.1M).
Is OpenAI: GPT-5.5 (batch) good for coding?
On our coding benchmark index, OpenAI: GPT-5.5 (batch) ranks #7 of 193 models, placing it in the top quartile of the field for code generation and debugging.
What can OpenAI: GPT-5.5 (batch) do?
OpenAI: GPT-5.5 (batch) supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.5 (batch)?
OpenAI: GPT-5.5 (batch) is developed by OpenAI and was released on April 24, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 10, 2026 8:38 pm