Sulat.com
AI models
Ofox logo

Model details

GPT-5.6 Sol

GPT-5.6 Sol is presented by a third-party model index as a general-purpose entry in the gpt-sol family, but the supplied evidence does not establish its creator, architecture, training lineage, or intended specialization. The available material therefore supports comparison rather than a firm account of how the model was built or what distinguishes it technically from related variants.

Its practical signal is comparatively strong but limited in scope: llm-stats.com places GPT-5.6 Sol at an LLM Stats Score of 56.3, alongside a blended price of $6.19 per million tokens. That result indicates a competitive position in the index’s composite assessment, while the absence of detailed, source-supported benchmark methodology or task-specific results makes it best treated as one comparative signal rather than proof of universal superiority.

Ofoxopenai/gpt-5.6-solgpt-sol

Quick Info

Powered by
Provider
Ofox
Model key
openai/gpt-5.6-sol
Release date
Jul 9, 2026
Last updated
Jul 9, 2026
Knowledge cutoff
2026-02-16
AI SDK package
@ai-sdk/openai
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$2.50
Output token cost
$15.00

Limits

Input tokens
922,000 tokens
Output tokens
128,000 tokens
Context window
1,050,000 tokens

Transparent token rates

Compare GPT-5.6 Sol pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

Browse this family

Latest news about GPT-5.6 Sol

Kilo Gateway

CoverageBenchmark

CodeRabbit's engineering blog (July 9, 2026) directly benchmarks OpenAI's GPT-5.6 Sol variant, describing it as the flagship model in the GPT-5.6 family and emphasizing its strength on long-horizon coding tasks that span multiple files, tests, and follow-up fixes. The piece frames Sol around practical agent follow-thro The article also details how Sol performs in CodeRabbit's review harness, noting it surfaces more candidate issues than older OpenAI models while arguing that downstream filtering has to earn user trust on top of that higher recall. It contrasts Sol with Fable 5 (which the authors find stronger for architectural judgme

Videos about GPT-5.6 Sol

More models around GPT-5.6 Sol