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GPT-6 vs GPT-5.5: What Changed in Specs, Pricing and Migration

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By NHI Mgmt Group, edited by Lalit Choda Updated 15 November 2026 18 min read
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GPT-6 is OpenAI's model generation that began with GPT-6 Astra on 3 September 2026, five months after GPT-5.5 and GPT-5.5 Pro were released on 24 April 2026, and it changes prices, reasoning settings, prompt caching parameters and safety classifications for anyone moving off GPT-5.5. GPT-6 is not one model: OpenAI's API documentation lists GPT-6 Astra, GPT-6 Sol, GPT-6.1 Sol, GPT-6 Luna and GPT-6.1 Terra. This page sets GPT-5.5 and GPT-5.5 Pro beside each GPT-6 model with identical fields: API IDs, release dates, context, knowledge cutoff, prices, reasoning effort levels, tools, availability, system card classifications and lifecycle status. It is written for developers planning a migration, buyers estimating cost and architects who need to know which IDs are current. Models are listed by release date, newest first, an objective order that implies no ranking.

Last checked: 2026-11-15.

This is an independent reference page from NHI Mgmt Group based on public provider documentation; it is not sponsored or endorsed by any provider. It uses OpenAI's public API documentation as of November 2026. Model details change, so confirm against OpenAI's current documentation.

Key takeaways

  • GPT-6 is a family of five API models. Astra, GPT-6 Sol, GPT-6.1 Sol, Luna and GPT-6.1 Terra were released between 3 September and 26 October 2026; GPT-5.5 and GPT-5.5 Pro date from 24 April 2026.
  • Context stayed at about 1.05M tokens. GPT-5.5 and every GPT-6 model list a 1,050,000-token context window and 128,000-token maximum output; knowledge cutoffs moved from 1 December 2025 to between 20 April and 1 June 2026.
  • Prices now span a 100x range. GPT-5.5 lists $5 input and $30 output per million tokens; GPT-6 ranges from Luna at $0.10/$0.50 to Astra at $10/$50, with GPT-6.1 Sol at $2/$10.
  • Some GPT-5.5 settings break on GPT-6. Astra and GPT-6.1 Sol reject reasoning effort none, and OpenAI's migration guide replaces prompt_cache_retention with prompt_cache_options.ttl when moving from GPT-5.5 or earlier.
  • Cyber classification rose to Critical. OpenAI's system cards treat GPT-5.5 as High in cybersecurity but below Critical, and treat Astra, GPT-6.1 Sol and GPT-6.1 Terra as Critical.

What is GPT-6 compared with GPT-5.5?

GPT-5.5 is OpenAI's April 2026 flagship, described on its model page as "a new class of intelligence for coding and professional work", with a Pro variant that OpenAI describes as producing "smarter and more precise responses". OpenAI's changelog shows it recommended GPT-5.5 for production API use in chat-latest updates on 5 May, 28 May and 24 June 2026. The GPT-5.6 family (Sol, Terra and Luna, 9 July 2026) sits between the two generations and is covered in the OpenAI Models hub.

GPT-6 splits the line into named tiers. OpenAI's migration guide describes gpt-6-astra for "most demanding work", gpt-6.1-sol for complex work at lower cost, gpt-6.1-terra for visual reasoning and writing, and gpt-6-luna for focused, high-volume tasks. On 7 October 2026 the chat-latest update recommended "the GPT-6 model family". All models here are proprietary: OpenAI publishes no weights and states no parameter count. For a tier-by-tier view inside GPT-6, see GPT-6 Astra vs Sol vs Luna vs Terra.

Every model at a glance

As of 2026-11-15. Source: OpenAI model pages and API changelog.

ModelAPI IDReleasedStatus on OpenAI pages
GPT-6.1 Terragpt-6.1-terra2026-10-26Current; no deprecation entry
GPT-6.1 Solgpt-6.1-sol2026-09-29Current; no deprecation entry
GPT-6 Lunagpt-6-luna2026-09-22Current; no deprecation entry
GPT-6 Solgpt-6-sol2026-09-22Model page points to GPT-6.1 Sol as the newer Sol model; no deprecation entry
GPT-6 Astragpt-6-astra2026-09-03Current; no deprecation entry
GPT-5.5 Progpt-5.5-pro (snapshot gpt-5.5-pro-2026-04-23)2026-04-24No deprecation entry
GPT-5.5gpt-5.5 (snapshot gpt-5.5-2026-04-23)2026-04-24No deprecation entry

Every model takes text and image input and returns text; none supports audio or video input on its model page. Open weights: none. Licence: proprietary. Parameters: not stated by OpenAI. GPT-5.5 and GPT-5.5 Pro use dated snapshots; each GPT-6 model page lists a single undated snapshot.

When was each model released?

As of 2026-11-15. Dates as shown in OpenAI's API changelog.

DateEventAPI ID
2026-04-24GPT-5.5 and GPT-5.5 Pro released; 1M context, default medium effort, caching only with extended prompt cachinggpt-5.5, gpt-5.5-pro
2026-06-01GPT-5.4 and GPT-5.5 available in Amazon Bedrock through an OpenAI-compatible Responses API endpointgpt-5.5
2026-06-24chat-latest update recommends GPT-5.5 for production API usegpt-5.5
2026-07-30Fast mode replaces Priority ProcessingAll
2026-09-03GPT-6 Astra released, with async tool calling, mid-turn steering and mid-conversation effort changes in the Responses APIgpt-6-astra
2026-09-22GPT-6 Sol and GPT-6 Luna releasedgpt-6-sol, gpt-6-luna
2026-09-25Image encoding bug that degraded image understanding in GPT-6 Sol and Luna fixedgpt-6-sol, gpt-6-luna
2026-09-29GPT-6.1 Sol released with Multi-agent beta; Ultrafast mode added for Astra (US data residency only)gpt-6.1-sol, gpt-6-astra
2026-10-07chat-latest update recommends the GPT-6 model familychat-latest
2026-10-08Ultrafast mode added for GPT-6.1 Solgpt-6.1-sol
2026-10-26GPT-6.1 Terra releasedgpt-6.1-terra

How much does each model cost?

As of 2026-11-15. USD per million text tokens, Standard processing, from each model page; 12-hour cache write and Batch figures from OpenAI's pricing page.

ModelInputCached inputCache write (30m / 12h)OutputBatch (input / output)Notes stated by provider
GPT-6.1 Terra$1.00$0.05$1.25 / $2.50$5.00$0.50 / $2.50Fast 2x
GPT-6.1 Sol$2.00$0.10$2.50 / $5.00$10.00$1.00 / $5.00Fast 2x, Ultrafast 6x
GPT-6 Luna$0.10$0.01$0.125 / $0.25$0.50$0.05 / $0.25Fast 2x
GPT-6 Sol$2.00$0.20$2.50 / not stated$10.0050% of Standard (model page)Fast 2x; not on the pricing page
GPT-6 Astra$10.00$1.00$12.50 / $25.00$50.00$5.00 / $25.00Fast 2x; Ultrafast $60 / $300
GPT-5.5 Pro$30.00No cached discountNot stated by OpenAI on the pages checked (2026-11-15)$180.00Not stated by OpenAI on the pages checked (2026-11-15)Responses API only
GPT-5.5$5.00$0.50Not stated by OpenAI on the pages checked (2026-11-15)$30.00Not stated by OpenAI on the pages checked (2026-11-15)Not on the pricing page

Long context: every model page here applies the same rule: prompts over 272K input tokens are billed at 2x input (and cache) rates and 1.5x output for the full request. GPT-6.1 Sol's page adds that subscription usage in Codex and ChatGPT Work carries no long-context surcharge.

Tier labels: OpenAI's pricing page shows tabs named Standard, Flex/Batch, Fast and Ultrafast, but the later tables are headed only "All models"; the Batch column above follows the model pages' statement that Batch and Flex cost 50% of Standard. Regional processing (data residency) endpoints carry a 10% uplift for models released on or after 5 March 2026, which covers every model on this page. See the LLM Batch and Prompt Caching Discounts Compared page.

Worked cost example

At Standard list prices, 10,000 requests a day with a 20K-token prompt and a 1K-token response use 200 million input and 10 million output tokens a day. GPT-5.5 costs $1,000 input plus $300 output, $1,300 a day. GPT-6.1 Sol costs $400 plus $100, $500 a day. GPT-6 Astra costs $2,000 plus $500, $2,500 a day. GPT-6.1 Terra costs $250 a day and GPT-6 Luna $25 a day. Caching changes the result: GPT-6.1 Sol's cached input is 5% of its input rate, against 10% for GPT-5.5. Re-run the arithmetic with token counts measured on your own data.

What changed between models?

Only changes OpenAI documents on its model pages, changelog and migration guide are listed.

  • Reasoning effort: GPT-5.5 lists none, low, medium (default), high and xhigh; GPT-5.5 Pro lists medium, high (default) and xhigh. Every GPT-6 model adds max. Astra and GPT-6.1 Sol do not accept none; the migration guide says to use low instead, and to start with low where a request used minimal.
  • Sampling parameters: for the GPT-6 models, the migration guide says to remove temperature, top_p and top_logprobs when reasoning effort is not none, and logprobs in Chat Completions.
  • Prompt caching: when migrating from GPT-5.5 or earlier, replace prompt_cache_retention with prompt_cache_options.ttl set to "30m", and review cache-write billing. GPT-6 pricing introduces separate 30-minute and 12-hour cache write prices.
  • Tool calling: Astra, GPT-6.1 Sol and GPT-6.1 Terra accept Chat Completions requests but need the Responses API for tool calling; GPT-6 Sol and Luna support function calling in Chat Completions only with reasoning effort none.
  • New agent controls: async tool calling (async: true, results returned later by call_id), mid-turn steering over a WebSocket connection, and a configuration_update input item that changes reasoning effort mid-conversation. GPT-6.1 Sol adds the Responses Multi-agent beta and reasoning.context set to all_turns.
  • Pro tier: GPT-6 has no model named Pro on the pages checked. OpenAI's deprecations page names gpt-6.1-sol with reasoning.mode: pro in the Responses API as the replacement for gpt-5-pro and o3-pro.

For background on effort settings, see Reasoning Models Explained.

What workloads does OpenAI position each model for?

This section records the provider's own positioning wording; it is not an assessment.

ModelPositioning stated by providerRelated notes stated by provider
GPT-6.1 Terra"A fast, efficient model for visual reasoning, precise computer use, and clear, natural writing"Examples: matching product photos to catalogue entries, interpreting technical drawings, acting on application screens
GPT-6.1 Sol"Near-Astra performance for complex work at a lower cost"Complex coding, computer use and professional work; 500K default context in Codex and ChatGPT Work
GPT-6 Luna"Our most efficient model for focused, high-volume tasks"Price rated low on the model page
GPT-6 Sol"Built to power complex coding and agentic workflows"Page points to GPT-6.1 Sol as the newer Sol model
GPT-6 Astra"Our most capable model for the most demanding work"Complex reasoning, coding, computer use, research and document creation
GPT-5.5 Pro"Version of GPT-5.5 that produces smarter and more precise responses"Speed rated Slowest; background mode suggested because requests can take several minutes
GPT-5.5"A new class of intelligence for coding and professional work"Recommended for production API use in chat-latest updates, May to June 2026

What is the context window of each model?

As of 2026-11-15. From each OpenAI model page.

ModelContext windowMax outputKnowledge cutoffInputOutputReasoning controls
GPT-6.1 Terra1,050,000 tokens128,000 tokens2026-06-01Text, imageTextnone to max, default medium
GPT-6.1 Sol1,050,000 tokens128,000 tokens2026-04-30Text, imageTextlow to max, default medium
GPT-6 Luna1,050,000 tokens128,000 tokens2026-05-18Text, imageTextnone to max, default medium
GPT-6 Sol1,050,000 tokens128,000 tokens2026-04-20Text, imageTextnone to max, default medium
GPT-6 Astra1,050,000 tokens128,000 tokens2026-04-30Text, imageTextlow to max; default not stated on the model page
GPT-5.5 Pro1,050,000 tokens128,000 tokens2025-12-01Text, imageTextmedium, high (default), xhigh
GPT-5.51,050,000 tokens128,000 tokens2025-12-01Text, imageTextnone to xhigh, default medium

The window did not grow between generations; the 272K-token long-context price threshold also applies to all of them. The knowledge cutoff moved forward by between four and six months.

Capabilities and tools compared

As of 2026-11-15. From each model page's features, tools and cloud sections.

ModelFunction calling and structured outputsComputer use toolFine-tuningCloud IDs stated by provider
GPT-6.1 TerraBoth supported; tool calling via the Responses APISupportedNot supportedAmazon Bedrock openai.gpt-6.1-terra; Google Cloud gpt-6.1-terra (private preview)
GPT-6.1 SolBoth supported; tool calling via the Responses APISupportedNot supportedAmazon Bedrock openai.gpt-6.1-sol; Google Cloud gpt-6.1-sol (private preview)
GPT-6 LunaBoth supported; Chat Completions function calling only with effort noneSupportedNot supportedAmazon Bedrock openai.gpt-6-luna; Google Cloud gpt-6-luna (private preview)
GPT-6 SolBoth supported; Chat Completions function calling only with effort noneSupportedNot supportedAmazon Bedrock openai.gpt-6-sol
GPT-6 AstraBoth supported; tool calling via the Responses APISupportedNot supportedAmazon Bedrock openai.gpt-6-astra; Google Cloud gpt-6-astra (private preview)
GPT-5.5 ProBoth supported; streaming not supportedNot in the model page's supported tools listNot supportedNot stated by OpenAI on the pages checked (2026-11-15)
GPT-5.5Both supportedSupportedNot supportedAmazon Bedrock openai.gpt-5.5

GPT-5.5 and every GPT-6 model list the same ten Responses API tools: web search, file search, image generation, code interpreter, hosted shell, apply patch, skills, computer use, MCP and tool search. GPT-5.5 Pro lists six of them (web search, file search, image generation, code interpreter, hosted shell and MCP). For agent risks from these tools, see Computer-Use and Browser Agents and Securing OpenAI Agents SDK and Responses API Guide.

Where is each model available?

ModelAvailability stated by provider
GPT-6.1 TerraOpenAI API (Free tier not supported); Amazon Bedrock; Google Cloud private preview
GPT-6.1 SolOpenAI API (Free tier not supported); 500K default context in Codex and ChatGPT Work; Amazon Bedrock; Google Cloud private preview
GPT-6 LunaOpenAI API (Free tier not supported); October version replaces GPT-5.6 Luna in ChatGPT (system card); Amazon Bedrock; Google Cloud private preview
GPT-6 SolOpenAI API (Free tier not supported); October version replaces GPT-5.6 Sol in ChatGPT, September version stays in Codex and ChatGPT Work (system card); Amazon Bedrock
GPT-6 AstraOpenAI API (Free tier not supported); Amazon Bedrock; Google Cloud private preview
GPT-5.5 ProOpenAI Responses API, including Batch (Free tier not supported)
GPT-5.5OpenAI API (Free tier not supported); Amazon Bedrock from 2026-06-01

Rate limits at the Build tier are 5,000 requests per minute for GPT-5.5 and every GPT-6 model and 500 for GPT-5.5 Pro; GPT-6 Luna lists 2,000,000 tokens per minute at Build against 1,000,000 for the others. Partner clouds publish their own catalogues and dates, so confirm there.

Model cards and system cards

As of 2026-11-15. Classifications are those stated in each OpenAI system card under its Preparedness Framework.

ModelSystem card (published)CybersecurityBiological and chemicalAI self-improvement
GPT-6.1 TerraGPT-6.1 Terra (2026-10-26)CriticalHighBelow High
GPT-6.1 SolGPT-6.1 Sol (2026-09-29)CriticalHighBelow High
GPT-6 Luna (October)GPT-6 October (2026-10-07)High, below CriticalHighBelow High
GPT-6 Sol (October)GPT-6 October (2026-10-07)High, below CriticalHighBelow High
GPT-6 AstraGPT-6 Astra (2026-09-03)Critical (OpenAI's first model at this level)HighBelow High
GPT-5.5 and GPT-5.5 ProGPT-5.5 (2026-04-23)High, below CriticalHighBelow High

The GPT-6.1 Terra card quotes OpenAI's definition of Critical cyber capability as a model that can "identify and develop functional zero-day exploits of all severity levels in many hardened real-world critical systems without human intervention". See the Frontier AI Model Risk Frameworks Guide for how these frameworks work.

Benchmarks

As of 2026-11-15. HealthBench is the one evaluation reported, length-adjusted, in every system card above. Figures are provider-reported; card dates and evaluation configurations differ, so treat cross-row comparisons with care. Independent leaderboards (LMArena, Artificial Analysis, Epoch AI) were not checked for this page.

ModelHealthBench ProfessionalHealthBenchHealthBench HardSource and date
GPT-6.1 Terra62.755.131.4GPT-6.1 Terra system card, 2026-10-26
GPT-6.1 Sol64.258.536.2GPT-6.1 Sol system card, 2026-09-29
GPT-6 Luna (October)48.250.427.2GPT-6 October system card, 2026-10-07
GPT-6 Sol (October)55.252.127.8GPT-6 October system card, 2026-10-07
GPT-6 Astra64.758.336.6GPT-6 Astra system card, 2026-09-03 (values revised 2026-09-22)
GPT-5.551.856.531.5GPT-5.5 system card, 2026-04-23
GPT-5.5 ProNot stated by OpenAI on the pages checked (2026-11-15)Not stated by OpenAI on the pages checked (2026-11-15)Not stated by OpenAI on the pages checked (2026-11-15)Not stated

Deprecations and retirements

As of 2026-11-15. Source: OpenAI deprecations page. None of the models on this page has a deprecation entry; the table shows the dated entries that name a GPT-6 model as the replacement, which is where most migrations onto GPT-6 come from.

ModelAPI IDNotice or deprecation dateRetirement or shutdown dateStated replacement
GPT-5gpt-52026-06-112026-12-11gpt-6.1-sol
GPT-5 Progpt-5-pro2026-06-112026-12-11gpt-6.1-sol with reasoning.mode: pro
GPT-5 minigpt-5-mini2026-06-112026-12-11gpt-6.1-terra
GPT-5 nanogpt-5-nano2026-06-112026-12-11gpt-6-luna
GPT-4o, GPT-4o mini, GPT-4.1, GPT-4.1 miniDated snapshots2026-10-142027-01-14gpt-6-luna
GPT-5.1 and GPT-5.3 Codexgpt-5.1, gpt-5.3-codex2026-10-012027-04-01gpt-6-sol
GPT-5.5 Cyber previewgpt-5.5-cyber-preview2026-11-052027-02-01"The most capable cyber model available to you"

gpt-5.5-cyber-preview is a separate, restricted ID; its deprecation does not apply to gpt-5.5. Track dates on the LLM Deprecation and Retirement Tracker and plan with the AI Model Retirement Guide.

Data handling and security

OpenAI's data controls page states that API data is not used to train its models unless the customer opts in, that abuse monitoring logs are kept for up to 30 days by default, and that Zero Data Retention and Modified Abuse Monitoring require OpenAI's approval. Responses API data is kept for at least 30 days by default or when store is true. The page also states OpenAI may make specific models ineligible for these arrangements for particular customers, with advance written notice, so confirm terms per model. OpenAI's changelog entry for Astra lists misalignment monitoring among its migration notes, and the migration guide notes Fast mode with EU data residency is supported for GPT-6.1 Sol, Terra and Luna but not for Astra or GPT-6 Sol.

Switching models does not change who holds the API key that calls them; key handling is the control that carries across every version. See the OpenAI API Keys Security Guide, How to audit OpenAI and Anthropic organisation API keys and the LLMjacking Guide.

How to choose a model: factual criteria

CriterionWhat the documentation shows
Code still sends reasoning effort noneAccepted by GPT-5.5, GPT-6 Sol, Luna and GPT-6.1 Terra; rejected by Astra and GPT-6.1 Sol
Code sets temperature or top_pRemove for GPT-6 models when effort is not none
Code uses prompt_cache_retentionReplace with prompt_cache_options.ttl when moving from GPT-5.5
Function calling through Chat CompletionsGPT-6 Sol and Luna only with effort none; others need the Responses API
List price per tokenFrom $0.10/$0.50 (Luna) to $10/$50 (Astra); GPT-5.5 $5/$30; GPT-5.5 Pro $30/$180
Knowledge cutoff2025-12-01 for GPT-5.5; 2026-04-20 to 2026-06-01 for GPT-6
Low-latency tiersUltrafast priced for Astra and GPT-6.1 Sol only
Deprecation replacement mappingOpenAI names gpt-6.1-sol, gpt-6.1-terra, gpt-6-luna or gpt-6-sol depending on the retiring model

Run your own evaluation on representative prompts at the same reasoning effort before switching; system card evaluations are not a substitute for workload testing.

Practitioner checklist

  • Inventory every service and agent calling gpt-5.5, gpt-5.5-pro or a model with a GPT-6 replacement and record the pinned ID in the AI register.
  • Search code for reasoning effort none, minimal, temperature, top_p, logprobs and prompt_cache_retention before switching to a GPT-6 model.
  • Move tool-calling workloads to the Responses API where the target is Astra, GPT-6.1 Sol or GPT-6.1 Terra.
  • Re-cost workloads with the 272K long-context multiplier, 30-minute and 12-hour cache writes and the 10% regional processing uplift.
  • Test on the target model at matched reasoning effort, and keep the GPT-5.5 path available for rollback until results are signed off.
  • Confirm data retention and data residency terms per model, including Fast and Ultrafast residency limits.
  • Store OpenAI keys in a secrets manager, scope them per project and set spend limits.

Standards and references

Related NHI Mgmt Group resources: OpenAI Models, GPT-6 Astra vs Sol vs Luna vs Terra, GPT-6 Astra, Frontier AI Models Compared, LLM Pricing Tracker.

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NHIMG Editorial Note
Researched and written by the NHI Mgmt Group editorial team using AI tools, under the editorial direction of Lalit Choda. Facts are drawn from the sources listed on this page and checked by our automated quality process. Last updated 15 November 2026. Spotted an error? Use our contact page.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM and Agentic AI security. nhimg.org