OPENAI UPGRADE PATH / VERIFIED 2026-10-04

GPT-5.6 Sol
vs GPT-6 Sol

Compare successive Sol generations on verified context, knowledge cutoff, reasoning controls and Standard API economics.

PROVIDERSOpenAI · OpenAI
CONTEXT1,050,000 · 1,050,000
PRICING$4.00/$20.00 · $2.00/$10.00

LIVE VERIFIED FACTS

Current facts from the SXF model database.

Catalog 2026-10-03 · History 2026-09-27
OpenAIVerified 2026-09-27

GPT-5.6 Sol

Context
1,050,000
Max output
128,000
Input / MTok
$4.00
Cached / MTok
$0.40
Output / MTok
$20.00
Input types
text + image
OpenAIVerified 2026-09-27

GPT-6 Sol

Context
1,050,000
Max output
128,000
Input / MTok
$2.00
Cached / MTok
$0.20
Output / MTok
$10.00
Input types
text + image
Facts are generated from the canonical model catalog, not copied into this comparison.Current data ↗Change ledger ↗

DECISION FACTORS

What materially changes the choice.

No synthetic winner score
01

Context capacity

Both publish a 1,050,000-token context window.

02

Input modalities

Both list image, text as input types.

03

Direct token cost

For 100K uncached input + 10K output tokens, GPT-6 Sol is lower at $0.3 vs $0.6 (2.0× difference).

HOW TO DECIDE

Specifications narrow the field. Your workload decides.

Context, modalities and direct token economics are comparable from official sources. Coding quality, latency, reliability and agent success should be measured on your own acceptance tests before production routing.

01

Replay real tasks

Use representative prompts, files, tools and expected outputs from the workload you plan to ship.

02

Measure task cost

Include retries, cached tokens, long-context rules and tool charges—not only headline input price.

03

Track failures

Record hallucinations, tool errors, timeout behavior and human corrections alongside pass rate.

04

Route by task

A portfolio can outperform a one-model policy when different task classes have different cost and capability needs.

INDEPENDENT EVALUATIONS

No directly comparable independent result yet.

Evaluation registry ↗

SXF does not infer quality from specifications or compare benchmark scores across different evaluator versions/configurations.

WHAT CHANGED

Changes affecting this comparison.

No post-baseline factual changes recorded for GPT-5.6 Sol, GPT-6 Sol since 2026-09-27.

VERIFIED BASELINE2026-09-27Current facts remain aligned with the SXF ledger.

QUICK ANSWERS

Which has the larger context window: GPT-5.6 Sol or GPT-6 Sol?

Both publish a 1,050,000-token context window.

Which is cheaper: GPT-5.6 Sol or GPT-6 Sol?

For 100K uncached input + 10K output tokens, GPT-6 Sol is lower at $0.3 vs $0.6 (2.0× difference).

Does SXF declare an overall winner?

No. This page compares source-backed specifications and economics. Quality, latency and task success require workload-specific evaluation evidence.