All Models
OpenAIGeneralProprietary Commercial APIReleased: 2026-07-16

GPT-5.6 Terra

Balanced enterprise workhorse tier of the 5.6 family, combining 1M context with competitive $2/$8 token rates and 84% SWE-bench resolution.

Foundation DNA93/100
HYBRID-REASONING ArchProprietary params
At a Glance Specifications
Context Window

1,000k

~750k words input

Token Pricing

$2 / $8

Prompt / Completion per 1M

Top Benchmark

84 % 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:93/100
ReasoningCodingSpeedEconomicsContextFlexibility
Context: 100/100 (Window Horizon)
ReasoningGPQA / Logic / Math
94/100
CodingSWE-bench / LCB
95/100
SpeedTokens / Second
88/100
EconomicsCost Efficiency
92/100
ContextWindow Horizon
100/100
FlexibilityTool Use & Open
95/100
Performance Evaluations

Verified LLM Benchmarks

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

SWE-bench Verified Headline
84% resolved
swebench.harness
CodingOpenAI GPT-5.6 Release
GPQA Diamond Headline
87.2% pass@1
Inspect
Academic ReasoningOpenAI GPT-5.6 Release
Chatbot Arena Elo Headline
1495Elo
LMSYS Blind Pairwise Battles
Human Preferencehttps://chat.lmsys.org/
Real-Time Provider Telemetry

Inference Latency & Generation Throughput

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

Peak Generation Speed
92tokens/sec

Measured under concurrent production load

Lowest Time to First Token
300ms

p95 latency: 820 ms

Telemetry Verification
99.96%uptime

Across 4,100 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

  • Unbeatable enterprise value ($2 / $8 per 1M tokens) with 1M context.
  • 84.0% resolution on SWE-bench Verified.
  • Fast 92 tps token generation.
Production Constraints

Operational Considerations

  • Top-tier autonomous research is best left to GPT-5.6 Sol or GPT-6 Astra.
Technical Specifications

Hardware & Execution Parameters

Architecture Typehybrid-reasoning
Total ParametersProprietary
Attention MechanismSliding-Window
Context Window1,000,000 tokens
Max Output Tokens96,000 tokens
Supported Modalities
textimageaudio
License Typeproprietary
Commercial Use Allowed
Model DistillationProhibited
Zero Data RetentionAvailable
Knowledge Cutoff2026-05
Model Heritage & Evolutionary Lineage

Genealogical Provenance

Enterprise workhorse model in the 5.6 generation.

Base Precursor

openai gpt 5 5

Current Architecture

GPT-5.6 Terra

openai gpt 5 6 solopenai gpt 5 6 luna
Engineering Deep-Dive

Architecture Engineering & Capability Deep-Dive

Topology & Attention Mechanics

Balanced dense model trained for enterprise software refactoring and API synthesis.

Evaluation Profile & Reasoning Capabilities

Reliable structured data output, tool calling, and codebase search.

Inference Economics & Cost Optimization

$2 / $8 per 1M tokens.

Primary Production Workloads & Suitability

Enterprise software development teams
Large-scale document analysis
Continuous automated regression tests
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

$2.00 / 1M

Standard prompt context ingestion

Base Output Tokens

$8.00 / 1M

Generated completion & thinking tokens

Prompt Cache ReadUp to 80% Off

$0.20 / 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

$432.00

Includes prompt caching

Monthly Cache Savings

-$108.00

Saved via prefix context caching

Frontier Alternatives

Comparable Foundation Architectures

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

OpenAIReasoning

GPT-5.6 Sol

July 2026 solar flagship model representing OpenAI's primary frontier intelligence tier, featuring 1M context, 89.8% on SWE-bench Verified, and enhanced agent synthesis.

Context:1,000k ctx
Parameters:Proprietary
Input Rate:$5/1M
Compare Architecture
OpenAISmall / On-Device

GPT-5.6 Luna

Ultra-fast low-latency lunar tier of the 5.6 family, achieving 73% on SWE-bench Verified at sub-120ms latency and $0.25/$1.00 economics across 500k context.

Context:500k ctx
Parameters:Proprietary
Input Rate:$0.25/1M
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-5.6-terra',
  messages: [{ role: 'user', content: 'Migrate this database schema to PostgreSQL 17.' }],
});
console.log(completion.choices[0].message.content);
Knowledge Base

Frequently Asked Questions about GPT-5.6 Terra

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

Terra represents the balanced enterprise workhorse tier, optimizing speed, cost, and high intelligence.

Verified Engineering FAQ
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