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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. Hy3TencentRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. GPT-6 LunaOpenAIRemove

4 is the maximum. Remove one to add another.

gpt-6-sol-pro vs hy3 vs perceptron-mk1.5 vs gpt-6-luna
AttributeGPT-6 Sol Progpt-6-sol-proHy3hy3Perceptron Mk1.5perceptron-mk1.5GPT-6 Lunagpt-6-luna
Pricing
Input$2.00 / 1M$0.14 / 1M$0.15 / 1M$0.10 / 1M
Output$10.00 / 1M$0.58 / 1M$1.50 / 1M$0.50 / 1M
Cache Write (5m)$2.00 / 1M$0.14 / 1M$0.15 / 1M$0.10 / 1M
Cache Write (1h)$2.00 / 1M$0.14 / 1M$0.15 / 1M$0.10 / 1M
Cache Read$2.00 / 1M$0.14 / 1M$0.15 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M262K36.9K1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesYesYes
Catalogue
ProviderOpenAITencentPerceptronOpenAI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-09-25—
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.Hy3 is Tencent's 295B-parameter Mixture-of-Experts (MoE) model, activating 21B parameters per token across 192 experts, and designed for reasoning, agentic workflows, and production-scale applications. It supports a 256K-token context window and configurable reasoning modes, including no-think, low, and high reasoning effort to balance speed and problem-solving depth. Optimized for long-horizon tasks, coding, and tool-driven execution, Hy3 delivers strong performance in multi-turn reasoning, constraint tracking, and stable tool calling. With an emphasis on grounded responses and reduced hallucinations, it is well suited for software development, document processing, financial analysis, game development, and enterprise agent workflows.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.