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

  1. GLM 5.3Z.AIRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. Muse Spark 1.3MetaRemove
glm-5.3 vs gemini-3.5-transcribe vs muse-spark-1.3
AttributeGLM 5.3glm-5.3Gemini 3.5 Transcribegemini-3.5-transcribeMuse Spark 1.3muse-spark-1.3
Pricing
Input$1.40 / 1M— Not priced per input token$1.25 / 1M
Output$4.40 / 1M— Not priced per output token$4.25 / 1M
Cache Write (5m)$1.40 / 1MNot applicable$1.25 / 1M
Cache Write (1h)$1.40 / 1MNot applicable$1.25 / 1M
Cache Read$1.40 / 1MNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M98.3K1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingYesYesYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderZ.AIGoogleMeta
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-25—
Description
SummaryGLM-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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.