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Model infoModelsSnapshot: 15 Oct 2026

OpenAI / GPT-6

GPT-6 Astra

OpenAI text generation, reasoning, coding model with developer-documented API access and version information.

availableClosed weightsText generationReasoningCodingAgentsVision
Official documentation (opens in a new tab)Reviewed 12 Oct 2026
16 of 20 specification fields collected
Input token limit922K922,000 tokens
Maximum output128K128,000 tokens
Input / 1M tokens$10.00OpenAI API
Output / 1M tokens$50.00USD · observed 12 Oct 2026

Specifications

Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.

Context / input limit
1,050,000 tokensSource for Context / input limit (opens in a new tab)
Release date
Not collected
Parameters
Not collected
Architecture
Not collected
Languages
Not collected
Supported API routes
v1/chat/completions, v1/responses, v1/batchSource for Supported API routes (opens in a new tab)
Snapshots and aliases
gpt-6-astraSource for Snapshots and aliases (opens in a new tab)

Aliases and pinned IDs listed by the developer. A snapshot date is not automatically the public release date.

Supported tools
web_search, file_search, image_generation, code_interpreter, hosted_shell, apply_patch, skills, computer_use, mcp, tool_searchSource for Supported tools (opens in a new tab)
Context caching
SupportedSource for Context caching (opens in a new tab)

Documented on at least one recorded endpoint. See Caching for host, lifecycle and billing restrictions.

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

API model ID
gpt-6-astra
Access
API account required. Model-specific permissions and rate limits apply.
Regions
Not collected
INPUT / 1M TOKENS$10.00
OUTPUT / 1M TOKENS$50.00

Standard text-token rates. Other modalities, tool usage and processing modes are billed separately. Long-context pricing applies to the full request; cached-rate treatment is shown only where explicit. Cached input price: $1.00 / 1M tokens (base tier).

Pricing by prompt length, USD / 1M tokens
Input lengthInputOutputCached input
Up to 272K input tokens$10.00$50.00$1.00
Above 272K input tokens$20.00$75.00$2.00
USD · observed 12 Oct 2026 · Pricing evidence (opens in a new tab)
Published billing units · original currency · observed 12 Oct 2026
CategoryUsageRateUnit
Text tokensInput1$10.001M tokens
Text tokensCached input1$1.001M tokens
Text tokensCache writes1$12.501M tokens
Text tokensOutput1$50.001M tokens

Rate conditions

  1. Base published rate. Check the model-card pricing conditions and the request modality.
Pricing source (opens in a new tab)

Data & enterprise terms

API data controls and retention depend on endpoint and account configuration; consult the linked provider policy.

Read the service policy (opens in a new tab)

Gladia Audio-to-LLM · via OpenRouter

Provider source (opens in a new tab)
API model ID
Not collected

The September 8 changelog names GPT-6 Astra but does not give its exact routing selector. Do not invent an OpenRouter slug.

Access
Enable audio_to_llm and provide prompts on a prerecorded Gladia job. Each prompt is run on the resulting transcript text. Raw audio and other response fields are not supplied to the LLM. Availability and access depend on the account.
Regions
External OpenRouter/provider routing; ASR cluster residency does not establish LLM residency
Input modalities
TextSource for Input modalities (opens in a new tab)

The Gladia workflow starts from audio, but this model receives only transcript text.

Billing basis
Public OpenRouter model rate plus an additional Gladia platform feeSource for Billing basis (opens in a new tab)

Fee amount and full endpoint-specific invoice rates are unverified. Direct-provider rates are not copied onto this managed route.

API request fields
audio_to_llm=true; audio_to_llm_config.prompts; optional model; one result per promptSource for API request fields (opens in a new tab)

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

Paid defaults: audio and transcripts 3 weeks, API metadata 1 year, logs an unspecified limited period. Free defaults retain all four data types for 1 year. Enterprise custom retention value 0 means deletion within 24 hours; separate ZDR means ephemeral processing and no later retrieval. ZDR disables file upload and polling: supply an external audio URL and receive callbacks. The compliance hub says no training without explicit agreement; a pricing blog says Starter training may be enabled by default, so confirm the applicable account agreement. External LLM/OpenRouter routing may use additional subprocessors and regions; Gladia ASR residency must not be treated as an end-to-end guarantee for this route.

Read the service policy (opens in a new tab)

Caching

Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.

01 / INITIAL INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

OpenAI API

gpt-6-astra
Documented
Support evidence (opens in a new tab)
How it works
Automatic prefix reuse + explicit breakpointsSource for How it works (opens in a new tab)
Minimum reusable input
1,024 visible input tokensSource for Minimum reusable input (opens in a new tab)
Lifetime & refresh
Minimum 30 minutes since the latest write or reuse; longer retention is possible.Source for Lifetime & refresh (opens in a new tab)
How to enable it
Use prompt_cache_options.mode and prompt_cache_breakpoint for explicit control. ttl defaults to 30m. Up to four writes per request; implicit mode consumes one slot.Source for How to enable it (opens in a new tab)
Usage fields
Inspect cached_tokens and cache_write_tokens in API usage.Source for Usage fields (opens in a new tab)
Billing rules
Cache writes use 1.25× the uncached input rate instead of the normal input rate. Reads use the published model-specific cached rate. Output is still billed.Source for Billing rules (opens in a new tab)
Limits & data boundaries
Exact rendered-prefix matching. No sharing across organizations or processing regions. Routing and load can prevent hits. Check account retention policy before selecting persistent caching.Source for Limits & data boundaries (opens in a new tab)
Cache reads, writes & storage
ChargeApplies toRate / unit
Cache read1Text tokens · Up to 272K input tokens$1.00 / 1M tokensPricing evidence (opens in a new tab)
Cache read1Text tokens · Above 272K input tokens$2.00 / 1M tokensPricing evidence (opens in a new tab)
Cache writes2Text tokens$12.50 / 1M tokensPricing evidence (opens in a new tab)

Rate conditions

  1. Standard text-token rates. Other modalities, tool usage and processing modes are billed separately. Long-context pricing applies to the full request; cached-rate treatment is shown only where explicit.
  2. Base published rate. Check the model-card pricing conditions and the request modality.

Observed 12 Oct 2026. Write rates and storage fees are different charges; use the billing rules above.

Caching reviewed 12 Oct 2026

Gladia Audio-to-LLM · via OpenRouter

Not verified

No model-specific discounted prompt-cache contract verified. Streaming buffers, stored transcripts and saved custom vocabulary are not token caching.

How it works
Not collected

No model-specific discounted prompt-cache contract verified. Streaming buffers, stored transcripts and saved custom vocabulary are not token caching.

Minimum reusable input
Not collected

No model-specific discounted prompt-cache contract verified. Streaming buffers, stored transcripts and saved custom vocabulary are not token caching.

Lifetime & refresh
Not collected

No model-specific discounted prompt-cache contract verified. Streaming buffers, stored transcripts and saved custom vocabulary are not token caching.

How to enable it
Not collected

No model-specific discounted prompt-cache contract verified. Streaming buffers, stored transcripts and saved custom vocabulary are not token caching.

Usage fields
Not collected

No model-specific discounted prompt-cache contract verified. Streaming buffers, stored transcripts and saved custom vocabulary are not token caching.

Billing rules
Not collected

No model-specific discounted prompt-cache contract verified. Streaming buffers, stored transcripts and saved custom vocabulary are not token caching.

Limits & data boundaries
Not collected

No model-specific discounted prompt-cache contract verified. Streaming buffers, stored transcripts and saved custom vocabulary are not token caching.

No verified cache rate for this endpoint. An empty rate is not a zero charge.

What the measurements say

No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.

Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.

The record behind the model

Why it is included

Proprietary OpenAI release in the official hosted-model catalog. Explicit open-weight releases and unresolved routing aliases are excluded.

Classification evidence (opens in a new tab)

Sources reviewed