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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. Hy4 previewTencentRemove
  2. Muse Spark OpenMetaRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

hy4-preview vs muse-spark-open vs perceptron-mk1.5 vs glm-5.3
AttributeHy4 previewhy4-previewMuse Spark Openmuse-spark-openPerceptron Mk1.5perceptron-mk1.5GLM 5.3glm-5.3
Pricing
Input$0.834 / 1M$1.25 / 1M$0.15 / 1M$1.40 / 1M
Output$2.50 / 1M$4.25 / 1M$1.50 / 1M$4.40 / 1M
Cache Write (5m)$0.834 / 1M$1.25 / 1M$0.15 / 1M$1.40 / 1M
Cache Write (1h)$0.834 / 1M$1.25 / 1M$0.15 / 1M$1.40 / 1M
Cache Read$0.834 / 1M$1.25 / 1M$0.15 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M36.9K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesYesYes
Catalogue
ProviderTencentMetaPerceptronZ.AI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-09-25—
Description
SummaryTencent 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 Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.