All Models
OpenAIReasoningProprietary Commercial APIReleased: 2026-09-17

GPT-6 Astra

OpenAI's interstellar autonomous research summit for the GPT-6 generation, achieving 92.8% on SWE-bench Verified, 96.2% on GPQA Diamond, and native omni-modal execution across 1M context.

Foundation DNA99/100
HYBRID-REASONING ArchProprietary params
At a Glance Specifications
Context Window

1,000k

~750k words input

Token Pricing

$12 / $48

Prompt / Completion per 1M

Top Benchmark

92.8 % resolved

SWE-bench Verified

Hardware Tier

Cloud Managed

Zero local VRAM

6-Axis Foundation Model DNA

Holistic Capability Distribution

Normalized 0-100 rating vectors balanced across intelligence, throughput, and economics.

Overall Index:99/100
ReasoningCodingSpeedEconomicsContextFlexibility
Context: 100/100 (Window Horizon)
ReasoningGPQA / Logic / Math
100/100
CodingSWE-bench / LCB
99/100
SpeedTokens / Second
80/100
EconomicsCost Efficiency
72/100
ContextWindow Horizon
100/100
FlexibilityTool Use & Open
99/100
Performance Evaluations

Verified LLM Benchmarks

Empirical evaluations across academic reasoning, software engineering, agentic execution, and human preference.

SWE-bench Verified Headline
92.8% resolved
swebench.harness
CodingOpenAI GPT-6 Technical Announcement
GPQA Diamond Headline
96.2% pass@1
Inspect
Academic ReasoningOpenAI GPT-6 Technical Announcement
Chatbot Arena Elo Headline
1585Elo
LMSYS Blind Pairwise Battles
Human Preferencehttps://chat.lmsys.org/
MATH-500 Headline
99.8% pass@1
lm-eval-harness
MathematicsOpenAI GPT-6 Technical Announcement
Real-Time Provider Telemetry

Inference Latency & Generation Throughput

Empirical telemetry benchmarking generation throughput (Tokens/Second) and Time to First Token (TTFT).

Peak Generation Speed
76tokens/sec

Measured under concurrent production load

Lowest Time to First Token
410ms

p95 latency: 1120 ms

Telemetry Verification
99.98%uptime

Across 3,100 monitored requests

Production Trade-Offs

Architectural Strengths vs. Operational Considerations

An objective technical balance sheet analyzing deployment advantages and production constraints.

Operational Advantages

Key Architectural Strengths

  • Unprecedented 92.8% on SWE-bench Verified and 96.2% on GPQA Diamond.
  • Full omni-modal audio, video, image, and text reasoning over 1,000,000 tokens.
  • Hierarchical multi-agent self-verification embedded in weights.
Production Constraints

Operational Considerations

  • Requires active prompt caching for long-horizon multi-turn agent runs.
Technical Specifications

Hardware & Execution Parameters

Architecture Typehybrid-reasoning
Total ParametersProprietary
Attention MechanismSliding-Window
Context Window1,000,000 tokens
Max Output Tokens128,000 tokens
Supported Modalities
textimageaudiovideo
License Typeproprietary
Commercial Use Allowed
Model DistillationProhibited
Zero Data RetentionAvailable
Knowledge Cutoff2026-07
Model Heritage & Evolutionary Lineage

Genealogical Provenance

Interstellar autonomous research pinnacle of the GPT-6 family.

Base Precursor

openai gpt 5 5 pro

Current Architecture

GPT-6 Astra

openai gpt 6 solopenai gpt 6 luna
Engineering Deep-Dive

Architecture Engineering & Capability Deep-Dive

Topology & Attention Mechanics

Next-generation sparse-dense hybrid reasoning architecture operating over multi-modal embedding spaces.

Evaluation Profile & Reasoning Capabilities

Autonomous multi-day software synthesis, novel theorem proof formulation, and robotic action planning.

Inference Economics & Cost Optimization

$12 / $48 per 1M tokens with prompt caching read discounts.

Primary Production Workloads & Suitability

Autonomous enterprise research systems
Novel pharmaceutical and biochemical discovery
Full-scale corporate IT infrastructure refactoring
Compute & Deployment Architecture

Cloud Deployment Architecture & Hardware Sizing

Cloud Deployment Architecture

Distributed enterprise serving infrastructure, autoscaling semantics, and runtime execution profile.

Cloud APIZero Local VRAM Required

Proprietary commercial model hosted on managed multi-region clusters with automatic autoscaling, high availability, and prompt prefix caching.

SLA: 99.9% Cloud Availability
Rate Limit: Scaled via Provider Quota
Cache: Automatic Prefix Compression
Serving Model

Multi-Tenant Cloud API

Continuous autoscaling with regional failover

Hardware Overhead

0 GB Local VRAM

Inference executed on hyperscaler accelerator clusters

Context Capacity

1,000k tokens

Supported with automated KV cache prefix compression

SDK Installation

$npm install openai
$pip install openai
Inference Economics & Total Cost of Ownership

Commercial Token Rates & Cost Estimator

Base Input Tokens

$12.00 / 1M

Standard prompt context ingestion

Base Output Tokens

$48.00 / 1M

Generated completion & thinking tokens

Prompt Cache ReadUp to 80% Off

$1.20 / 1M

Re-used prompt prefix context

Monthly Production Cost Simulator

Daily Prompt Ingestion5M tokens/day (~150M/mo)
Daily Completion Generation1M tokens/day (~30M/mo)
Prompt Prefix Cache Hit Rate40%
Estimated Monthly Spend

$2,592.00

Includes prompt caching

Monthly Cache Savings

-$648.00

Saved via prefix context caching

Frontier Alternatives

Comparable Foundation Architectures

Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.

AnthropicReasoning

Claude Opus 5.5

The frontier reasoning summit from Anthropic featuring a native 1-million-token context window, 92%+ SWE-bench Verified resolution, and hierarchical multi-agent verification.

Context:1,000k ctx
Parameters:Proprietary
Input Rate:$10/1M
Compare Architecture
OpenAIReasoning

GPT-6 Sol

Primary solar flagship model of the GPT-6 generation, delivering 91.0% SWE-bench resolution, 1M context, and $4/$16 pricing for frontier developer automation.

Context:1,000k ctx
Parameters:Proprietary
Input Rate:$4/1M
Compare Architecture
OpenAIDecision

OpenAI Decisions

OpenAI Decisions is OpenAI's dedicated high-throughput decision-making API powered by GPT-6 Luna, accessed via the POST /v1/decisions endpoint. Designed for agent routing, automated content moderation, and classification, it processes typed questions (predicates, categorical choices, and rubric scores) roughly 10x faster than standard generation, billed at $0.10 per million input tokens with zero output-token fees.

Context:128k ctx
Parameters:Proprietary (GPT-6 Luna Decision Engine)
Input Rate:$0.1/1M
Compare Architecture
OpenAIGeneral

GPT-3.5 Turbo

OpenAI's foundational conversational model that launched the ChatGPT era, optimized for fast dialogue, summary generation, and lightweight JSON tasks.

Context:16.385k ctx
Parameters:Proprietary
Input Rate:$0.5/1M
Compare Architecture
Developer Quickstart

SDK Installation & API Integration

$npm install openai
$pip install openai
import OpenAI from 'openai';

const client = new OpenAI();
const completion = await client.chat.completions.create({
  model: 'gpt-6-astra',
  messages: [{ role: 'user', content: 'Synthesize a formal unified proof of non-abelian gauge anomalies.' }],
});
console.log(completion.choices[0].message.content);
Knowledge Base

Frequently Asked Questions about GPT-6 Astra

Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.

GPT-6 Astra is OpenAI's top-tier autonomous reasoning foundation model, achieving a landmark 92.8% on SWE-bench Verified.

Verified Engineering FAQ
Machinoai Logo
Machinoai

Your edge in the AI era. Deep dives into machine learning concepts, paper explainers, verified industry jobs, and developer tools.

© 2026 Machinoai. All rights reserved.