Skip to content

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 CodexOpenAIRemove
  2. Gemini 3.7 FlashGoogleRemove
  3. Muse Spark 1.3MetaRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

gpt-5-codex vs gemini-3.7-flash vs muse-spark-1.3 vs hy4-preview
AttributeGPT-5 Codexgpt-5-codexGemini 3.7 Flashgemini-3.7-flashMuse Spark 1.3muse-spark-1.3Hy4 previewhy4-preview
Pricing
Input$0.625 / 1M$0.375 / 1M$1.25 / 1M$0.834 / 1M
Output$5.00 / 1M$1.88 / 1M$4.25 / 1M$2.50 / 1M
Cache Write (5m)$0.625 / 1M$0.375 / 1M$1.25 / 1M$0.834 / 1M
Cache Write (1h)$0.625 / 1M$0.375 / 1M$1.25 / 1M$0.834 / 1M
Cache Read$0.625 / 1M$0.375 / 1M$1.25 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context400K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderOpenAIGoogleMetaTencent
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-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.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.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.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.