GPT-6.1 Sol
OpenAI's latest October 2026 refined solar flagship model, bringing 92.0% SWE-bench resolution, 97.4% function-calling accuracy on BFCL v3, and lower pricing ($3.50/$14) across 1M context.
1,000k
~750k words input
$3.5 / $14
Prompt / Completion per 1M
92 % 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: 810 ms
Across 4,600 monitored requests
Architectural Strengths vs. Operational Considerations
An objective technical balance sheet analyzing deployment advantages and production constraints.
Key Architectural Strengths
- Latest production model from OpenAI with industry-leading 97.4% function calling precision.
- 92.0% SWE-bench Verified score across thousands of real GitHub issues.
- Reduced $3.50 / $14 token economics with 1M context.
Operational Considerations
- Prompt caching recommended for large 1M context repository ingestions.
Hardware & Execution Parameters
Genealogical Provenance
Current active solar model iteration with updated RL verifiers and function calling precision.
openai gpt 6 sol
GPT-6.1 Sol
Architecture Engineering & Capability Deep-Dive
Topology & Attention Mechanics
High-density hybrid reasoning model with refined tool synthesis layers and zero-delay thinking switches.
Evaluation Profile & Reasoning Capabilities
Exhibits superhuman autonomous engineering, zero-shot system migration, and multi-tool orchestration.
Inference Economics & Cost Optimization
$3.50 input and $14.00 output with $0.35 cache reads.
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-6.1 Sol vs Claude Sonnet 5.5
Compare GPT-6.1 Sol against Claude Sonnet 5.5's verified benchmarks, context window, and pricing.
GPT-6.1 Sol vs GPT-6 Astra
Compare GPT-6.1 Sol against GPT-6 Astra's verified benchmarks, context window, and pricing.
GPT-6.1 Sol vs GPT-6 Sol
Compare GPT-6.1 Sol against GPT-6 Sol's verified benchmarks, context window, and pricing.
GPT-6.1 Sol vs OpenAI Decisions
Compare GPT-6.1 Sol against OpenAI Decisions's verified benchmarks, context window, and pricing.
Commercial Token Rates & Cost Estimator
$3.50 / 1M
Standard prompt context ingestion
$14.00 / 1M
Generated completion & thinking tokens
$0.35 / 1M
Re-used prompt prefix context
Monthly Production Cost Simulator
$756.00
Includes prompt caching
-$189.00
Saved via prefix context caching
Comparable Foundation Architectures
Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.
Claude Sonnet 5.5
Enterprise software development benchmark with native 1-million-token context, dynamic sub-agent spawning, and 90.5% SWE-bench Verified precision.
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.
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-6.1-sol',
messages: [{ role: 'user', content: 'Orchestrate an end-to-end multi-agent pull request pipeline.' }],
});
console.log(completion.choices[0].message.content);Frequently Asked Questions about GPT-6.1 Sol
Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.
Yes, GPT-6.1 Sol is the active solar flagship release from OpenAI, offering 92.0% on SWE-bench Verified and 97.4% tool accuracy on BFCL v3.