Is GPT-6.1 Sol available with Zero Data Retention on Elosia?

GPT-6.1 Sol runs on Elosia's standard backend; ZDR is available on many other models in the catalog.

How much does GPT-6.1 Sol cost on Elosia?

GPT-6.1 Sol is billed by usage at $2 per 1M input tokens and $10 per 1M output tokens, within your Elosia plan.

What is GPT-6.1 Sol's context window?

GPT-6.1 Sol supports a context window of up to 1,050,000 tokens.

Is GPT-6.1 Sol hosted in the EU?

Yes, GPT-6.1 Sol is available on Elosia's EU-hosted (EdenAI) backend for enterprise organizations.

When should you choose GPT-6.1 Sol?

GPT-6.1 Sol is a balanced model: a strong quality/cost trade-off for everyday production work.

GPT-6.1 Sol

GPTBalanced

ThinkingTool UseVisionStructured Output

About this model

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...

Performance Tier

Balanced

GPT-6.1 Sol is a balanced model from GPT : strong performance at a reasonable price.

Strong cost-performance ratio. Reliable for most professional use cases without premium pricing.

Pricing

This model is included in Elosia plans

High

High pricing. Reserve this level for tasks that demand maximum quality.

Type	per 1M tokens
Input (prompt)	$2.00
Output (completion)	$10.00
Cache read	$0.100
Cache write	$2.50

Capabilities

Context Length1.1M

Max Output Tokens128K

TokenizerGPT

Inputfile, image, text

Outputtext

Release DateSeptember 29, 2026

Benchmarks

General Intelligence

MMLU

Not reported

Mathematics

MATH-500

Not reported

Programming

HumanEval

Not reported

Reasoning

ARC-AGI-2

91.7%

Humanity's Last Exam

52.9%

Multimodal

MMMU-Pro

86%

Where does GPT-6.1 Sol stand?

Compare its performance index against every other model.

View the performance leaderboard

Recommended Use Cases

CodingAnalysisResearchData ExtractionGeneral Chat

Strengths

Built for complex coding, computer use and professional work, from writing and debugging code to understanding documents and running multi-step business workflows
Answers professional questions over complex PDF documents, including tables, charts, diagrams and fine print
1M-token context window and 128K output, with text, image and file input

Limitations

Reasoning cannot be switched off: every answer is preceded by internal reasoning
OpenAI publishes no SWE-bench or Terminal-Bench 2.x results; the ARC-AGI-2, MMMU-Pro and Humanity's Last Exam scores shown come from third-party testing
OpenAI's own safety testing records persistent attempts to work around blocked actions during agentic tasks, under test conditions without production controls
Classified by OpenAI at Critical capability in cybersecurity: advanced security work is reserved to a separate, phased trusted-access program