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.
1,000k
~750k words input
$5 / $20
Prompt / Completion per 1M
89.8 % resolved
SWE-bench Verified
Cloud Managed
Zero local VRAM
Holistic Capability Distribution
Normalized 0-100 rating vectors balanced across intelligence, throughput, and economics.
Verified LLM Benchmarks
Empirical evaluations across academic reasoning, software engineering, agentic execution, and human preference.
Inference Latency & Generation Throughput
Empirical telemetry benchmarking generation throughput (Tokens/Second) and Time to First Token (TTFT).
Measured under concurrent production load
p95 latency: 960 ms
Across 3,500 monitored requests
Architectural Strengths vs. Operational Considerations
An objective technical balance sheet analyzing deployment advantages and production constraints.
Key Architectural Strengths
- Solar flagship tier combining peak intelligence with high throughput.
- 89.8% SWE-bench Verified accuracy.
- Full 1,000,000-token context window with 128k output capacity.
Operational Considerations
- For cost-sensitive high-volume tasks, GPT-5.6 Terra is more economical.
Hardware & Execution Parameters
Genealogical Provenance
Solar flagship model of the 5.6 astronomical architecture generation.
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GPT-5.6 Sol
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
High-density hybrid reasoning model with accelerated test-time pathing.
Evaluation Profile & Reasoning Capabilities
Autonomous multi-day agent orchestration, formal logic, and multi-file code diffs.
Inference Economics & Cost Optimization
$5 / $20 per 1M tokens.
Primary Production Workloads & Suitability
Cloud Deployment Architecture & Hardware Sizing
Cloud Deployment Architecture
Distributed enterprise serving infrastructure, autoscaling semantics, and runtime execution profile.
Proprietary commercial model hosted on managed multi-region clusters with automatic autoscaling, high availability, and prompt prefix caching.
Multi-Tenant Cloud API
Continuous autoscaling with regional failover
0 GB Local VRAM
Inference executed on hyperscaler accelerator clusters
1,000k tokens
Supported with automated KV cache prefix compression
SDK Installation
Official Repositories & Papers
Compare Showdowns
GPT-5.6 Sol vs GPT-5.6 Terra
Compare GPT-5.6 Sol against GPT-5.6 Terra's verified benchmarks, context window, and pricing.
GPT-5.6 Sol vs GPT-5.6 Luna
Compare GPT-5.6 Sol against GPT-5.6 Luna's verified benchmarks, context window, and pricing.
GPT-5.6 Sol vs GPT-6 Sol
Compare GPT-5.6 Sol against GPT-6 Sol's verified benchmarks, context window, and pricing.
GPT-5.6 Sol vs OpenAI Decisions
Compare GPT-5.6 Sol against OpenAI Decisions's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$5.00 / 1M
Standard prompt context ingestion
$20.00 / 1M
Generated completion & thinking tokens
$0.50 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$1,080.00
Includes prompt caching
-$270.00
Saved via prefix context caching
Comparable Foundation Architectures
Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.
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.
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.
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.
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.
SDK Installation & API Integration
import OpenAI from 'openai';
const client = new OpenAI();
const completion = await client.chat.completions.create({
model: 'gpt-5.6-sol',
messages: [{ role: 'user', content: 'Generate complete unit tests for this distributed raft engine.' }],
});
console.log(completion.choices[0].message.content);Frequently Asked Questions about GPT-5.6 Sol
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
In OpenAI's 5.6 and 6.0 naming, 'Sol' designates the flagship intelligence tier designed for complex reasoning.