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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. Gemini 3.7 FlashGoogleRemove
  2. GLM 5.3 FlashZ.AIRemove
  3. Whisper 1OpenAIRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

gemini-3.7-flash vs glm-5.3-flash vs whisper-1 vs muse-spark-1.3
AttributeGemini 3.7 Flashgemini-3.7-flashGLM 5.3 Flashglm-5.3-flashWhisper 1whisper-1Muse Spark 1.3muse-spark-1.3
Pricing
Input$0.375 / 1M$0.075 / 1M$75.00 / 1M$1.25 / 1M
Output$1.88 / 1M$0.25 / 1M$75.00 / 1M$4.25 / 1M
Cache Write (5m)$0.375 / 1M$0.075 / 1MNot applicable$1.25 / 1M
Cache Write (1h)$0.375 / 1M$0.075 / 1MNot applicable$1.25 / 1M
Cache Read$0.375 / 1M$0.075 / 1MNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1MN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesYesYes
StreamingYesYesNoYes
Catalogue
ProviderGoogleZ.AIOpenAIMeta
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 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.GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.Whisper (whisper-1) is OpenAI's open-source automatic speech recognition (ASR) model, designed for audio transcription and translation. It supports 50+ languages and processes audio files up to 25 MB, accepting formats such as mp3, mp4, wav, and webm. Optimized for reliable speech-to-text conversion across diverse audio inputs, Whisper is priced per minute of audio, billed to the nearest second, making it well suited for transcription, localization, and voice-driven applications.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.