Is GPT-5.6 Sol Pro available with Zero Data Retention on Elosia?

GPT-5.6 Sol Pro runs on Elosia's standard backend; ZDR is available on many other models in the catalog.

How much does GPT-5.6 Sol Pro cost on Elosia?

GPT-5.6 Sol Pro is billed by usage at $4 per 1M input tokens and $20 per 1M output tokens, within your Elosia plan.

What is GPT-5.6 Sol Pro's context window?

GPT-5.6 Sol Pro supports a context window of up to 1,050,000 tokens.

Is GPT-5.6 Sol Pro hosted in the EU?

GPT-5.6 Sol Pro is not available on Elosia's EU-hosted (EdenAI) backend; it runs on the default backend.

When should you choose GPT-5.6 Sol Pro?

GPT-5.6 Sol Pro is a balanced model: a strong quality/cost trade-off for everyday production work.

GPT-5.6 Sol Pro

GPTBalanced

This model is no longer available on Elosia. This page is kept for informational purposes.

ThinkingTool UseVisionStructured Output

About this model

GPT-5.6 Sol Pro is the same underlying model as GPT-5.6 Sol, served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

Performance Tier

Balanced

GPT-5.6 Sol Pro 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)	$4.00
Output (completion)	$20.00
Cache read	$0.400
Cache write	$5.00

Capabilities

Context Length1.1M

Max Output Tokens128K

TokenizerGPT

Inputfile, image, text

Outputtext

Release DateJuly 9, 2026

Benchmarks

General Intelligence

MMLU

Not reported

Mathematics

MATH-500

Not reported

Programming

HumanEval

Not reported

Reasoning

ARC-AGI-2

85.4%

Agentic

SWE-bench Pro

64.6%

Terminal-Bench 2.1

88.8%

Where does GPT-5.6 Sol Pro stand?

Compare its performance index against every other model.

View the performance leaderboard

Recommended Use Cases

CodingAnalysisResearchMathematicsData Extraction

Strengths

GPT-5.6 Sol served in pro reasoning mode, for maximum quality on complex tasks
Strong abstract reasoning: ARC-AGI-2 85.4 at high effort, reaching 90.0 (xhigh) and 92.5 (max) with more reasoning
Capable agentic coding: 88.8 on Terminal-Bench 2.1 and 64.6 on SWE-bench Pro (single-agent), strong on command-line and long-horizon work
1M-token context window with programmatic tool calling and multimodal (text, image, file) input

Limitations

Pro reasoning mode consumes more tokens per query than base Sol, so it uses up quota faster
Resolution of issues inside existing codebases (SWE-bench Pro) is weaker than its command-line results
OpenAI published no MMLU, GPQA or math benchmarks for GPT-5.6, so direct comparison with older flagships is harder