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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. Muse Spark 1.3MetaRemove
  2. GPT-5 CodexOpenAIRemove
muse-spark-1.3 vs gpt-5-codex
AttributeMuse Spark 1.3muse-spark-1.3GPT-5 Codexgpt-5-codex
Pricing
Input$1.25 / 1M$0.625 / 1M
Output$4.25 / 1M$5.00 / 1M
Cache Write (5m)$1.25 / 1M$0.625 / 1M
Cache Write (1h)$1.25 / 1M$0.625 / 1M
Cache Read$1.25 / 1M$0.625 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M400K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderMetaOpenAI
Categorychatchat
Charge typePay As You GoPay As You Go
Released
Description
SummaryMuse 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.GPT-5 Codex is a coding-focused version of GPT-5 built for both interactive development and long autonomous engineering tasks. It can create projects, add features, debug, refactor, and review code, producing cleaner and more controllable outputs than GPT-5. It integrates with developer tools (CLI, IDEs, GitHub, cloud), supports adjustable reasoning effort, handles multimodal inputs, and uses tools for search and environment setup — making it purpose-built for agentic coding workflows.