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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 4.6 (Thinking)Z.AIRemove
  2. GLM 5.3Z.AIRemove
  3. Gemini 3.7 FlashGoogleRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

glm-4.6-thinking vs glm-5.3 vs gemini-3.7-flash vs muse-spark-1.3
AttributeGLM 4.6 (Thinking)glm-4.6-thinkingGLM 5.3glm-5.3Gemini 3.7 Flashgemini-3.7-flashMuse Spark 1.3muse-spark-1.3
Pricing
Input$0.40 / 1M$1.40 / 1M$0.375 / 1M$1.25 / 1M
Output$1.50 / 1M$4.40 / 1M$1.88 / 1M$4.25 / 1M
Cache Write (5m)$0.40 / 1M$1.40 / 1M$0.375 / 1M$1.25 / 1M
Cache Write (1h)$0.40 / 1M$1.40 / 1M$0.375 / 1M$1.25 / 1M
Cache Read$0.40 / 1M$1.40 / 1M$0.375 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context202.8K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AIZ.AIGoogleMeta
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-4.6 improves on GLM-4.5 with a larger 200K context window, stronger coding performance (including better real-world agent tools like Claude Code and Cline), and clearer gains in reasoning with built-in tool use. It delivers more capable agent behavior, integrates better into agent frameworks, and produces more natural, readable writing — especially in role-playing scenarios.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.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.