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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 3.8 FlashGoogleRemove
  2. Whisper Large V3OpenAIRemove
  3. Muse Spark 1.3MetaRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs whisper-large-v3 vs muse-spark-1.3 vs hy4-preview
AttributeGemini 3.8 Flashgemini-3.8-flashWhisper Large V3whisper-large-v3Muse Spark 1.3muse-spark-1.3Hy4 previewhy4-preview
Pricing
Input$0.75 / 1M$9.25 / 1M$1.25 / 1M$0.834 / 1M
Output$3.75 / 1M$0 / 1M$4.25 / 1M$2.50 / 1M
Cache Write (5m)$0.75 / 1MNot applicable$1.25 / 1M$0.834 / 1M
Cache Write (1h)$0.75 / 1MNot applicable$1.25 / 1M$0.834 / 1M
Cache Read$0.75 / 1MNot applicable$1.25 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesYesYesYes
StreamingYesNoYesYes
Catalogue
ProviderGoogleOpenAIMetaTencent
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.Whisper Large V3 is OpenAI's advanced open-source automatic speech recognition (ASR) model, supporting both audio transcription and translation across 99+ languages. It accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg, and delivers strong performance in noisy, real-world conditions. With 1.55B parameters and a low 10.3% word error rate, it provides accurate, multilingual transcription with support for word- and segment-level timestamps, making it well suited for high-quality, noise-robust speech processing 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.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.