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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-5.6 Sol ProOpenAIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Hy4 previewTencentRemove
  4. Muse WonderMetaRemove

4 is the maximum. Remove one to add another.

gpt-5.6-sol-pro vs perceptron-mk1.5 vs hy4-preview vs muse-wonder
AttributeGPT-5.6 Sol Progpt-5.6-sol-proPerceptron Mk1.5perceptron-mk1.5Hy4 previewhy4-previewMuse Wondermuse-wonder
Pricing
Input$5.00 / 1M$0.15 / 1M$0.834 / 1M$4.00 / 1M
Output$30.00 / 1M$1.50 / 1M$2.50 / 1M$20.00 / 1M
Cache Write (5m)$5.00 / 1M$0.15 / 1M$0.834 / 1M$4.00 / 1M
Cache Write (1h)$5.00 / 1M$0.15 / 1M$0.834 / 1M$4.00 / 1M
Cache Read$5.00 / 1M$0.15 / 1M$0.834 / 1M$4.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesYesYesYes
Catalogue
ProviderOpenAIPerceptronTencentMeta
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25——
Description
SummaryGPT-5.6 Sol Pro uses the same underlying model as GPT-5.6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning and more reliable execution, it is particularly well suited for advanced coding, long-horizon problem solving, and agentic workflows where accuracy and solution quality take priority over speed and cost.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.Muse Wonder is Meta’s frontier multimodal reasoning model, designed for complex personal and professional agentic workflows. It supports text, image, video, audio, and PDF inputs with text output and features a 1M-token context window for sustained reasoning across long-running tasks. Optimized for autonomous execution and multi-agent orchestration, Muse Wonder can plan, delegate to subagents, coordinate parallel tool use, recover from errors, and operate browsers and applications across desktop and mobile environments. With cross-conversation context retrieval and its Active Focus training approach, it is well suited for complex software engineering, multi-file refactoring, computer use, and end-to-end workflows requiring persistence, adaptability, and minimal supervision.