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. Whisper 1OpenAIRemove
  2. Gemini 3.7 FlashGoogleRemove
  3. GPT-6 Astra ProOpenAIRemove
whisper-1 vs gemini-3.7-flash vs gpt-6-astra-pro
AttributeWhisper 1whisper-1Gemini 3.7 Flashgemini-3.7-flashGPT-6 Astra Progpt-6-astra-pro
Pricing
Input$75.00 / 1M$0.375 / 1M$10.00 / 1M
Output$75.00 / 1M$1.88 / 1M$50.00 / 1M
Cache Write (5m)Not applicable$0.375 / 1M$10.00 / 1M
Cache Write (1h)Not applicable$0.375 / 1M$10.00 / 1M
Cache ReadNot applicable$0.375 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeYesYesYes
StreamingNoYesYes
Catalogue
ProviderOpenAIGoogleOpenAI
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryWhisper (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.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.GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.