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Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. GPT-6 Sol ProOpenAIRemove
  2. o4 Mini Deep ResearchOpenAIRemove
  3. GPT-6.1 SolOpenAIRemove
gpt-6-sol-pro vs o4-mini-deep-research vs gpt-6.1-sol
AttributeGPT-6 Sol Progpt-6-sol-proo4 Mini Deep Researcho4-mini-deep-researchGPT-6.1 Solgpt-6.1-sol
Pricing
Input$2.00 / 1M$2.00 / 1M$2.00 / 1M
Output$10.00 / 1M$8.00 / 1M$10.00 / 1M
Cache Write (5m)$2.00 / 1M$2.00 / 1M$2.00 / 1M
Cache Write (1h)$2.00 / 1M$2.00 / 1M$2.00 / 1M
Cache Read$2.00 / 1M$2.00 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M200K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderOpenAIOpenAIOpenAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryGPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.o4-mini-deep-research is a faster, lower-cost version of OpenAI's deep-research model, designed for complex, multi-step investigations. It automatically relies on web_search for information gathering, which always adds extra usage cost.GPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.