Skip to content

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-6.1 SolOpenAIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. GPT-5.6 TerraOpenAIRemove
gpt-6.1-sol vs perceptron-mk1.5 vs gpt-5.6-terra
AttributeGPT-6.1 Solgpt-6.1-solPerceptron Mk1.5perceptron-mk1.5GPT-5.6 Terragpt-5.6-terra
Pricing
Input$2.00 / 1M$0.15 / 1M$2.00 / 1M
Output$10.00 / 1M$1.50 / 1M$12.00 / 1M
Cache Write (5m)$2.00 / 1M$0.15 / 1M$2.00 / 1M
Cache Write (1h)$2.00 / 1M$0.15 / 1M$2.00 / 1M
Cache Read$2.00 / 1M$0.15 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesYesYes
Catalogue
ProviderOpenAIPerceptronOpenAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-25—
Description
SummaryGPT-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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-5.6 Terra is the balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is designed for everyday coding, reasoning, and agentic workflows, delivering strong performance while balancing capability and cost. Offering near-flagship quality at approximately half the cost of Sol, GPT-5.6 Terra is well suited for production applications that require reliable reasoning, software development, and scalable agent execution.