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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. GLM 5.3Z.AIRemove
  2. DeepSeek V4.1 FlashDeepSeekRemove
  3. Gemini 3.5 TranscribeGoogleRemove
  4. Muse Spark OpenMetaRemove

4 is the maximum. Remove one to add another.

glm-5.3 vs deepseek-v4.1-flash vs gemini-3.5-transcribe vs muse-spark-open
AttributeGLM 5.3glm-5.3DeepSeek V4.1 Flashdeepseek-v4.1-flashGemini 3.5 Transcribegemini-3.5-transcribeMuse Spark Openmuse-spark-open
Pricing
Input$1.40 / 1M$0.30 / 1M— Not priced per input token$1.25 / 1M
Output$4.40 / 1M$1.20 / 1M— Not priced per output token$4.25 / 1M
Cache Write (5m)$1.40 / 1M$0.30 / 1MNot applicable$1.25 / 1M
Cache Write (1h)$1.40 / 1M$0.30 / 1MNot applicable$1.25 / 1M
Cache Read$1.40 / 1M$0.30 / 1MNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M98.3K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderZ.AIDeepSeekGoogleMeta
Categorychatchatvoicechat
Charge typePay As You GoPay 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.DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.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.