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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. GPT-4o TranscribeOpenAIRemove
  2. DeepSeek V4.1 FlashDeepSeekRemove
  3. Gemini 3.8 FlashGoogleRemove
gpt-4o-transcribe vs deepseek-v4.1-flash vs gemini-3.8-flash
AttributeGPT-4o Transcribegpt-4o-transcribeDeepSeek V4.1 Flashdeepseek-v4.1-flashGemini 3.8 Flashgemini-3.8-flash
Pricing
Input$1.25 / 1M$0.30 / 1M$0.75 / 1M
Output$0 / 1M$1.20 / 1M$3.75 / 1M
Cache Write (5m)Not applicable$0.30 / 1M$0.75 / 1M
Cache Write (1h)Not applicable$0.30 / 1M$0.75 / 1M
Cache ReadNot applicable$0.30 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context128K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeYesYesYes
StreamingNoYesYes
Catalogue
ProviderOpenAIDeepSeekGoogle
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-4o Transcribe is OpenAI's high-quality speech-to-text model built on GPT-4o's audio capabilities. It delivers accurate transcription with strong language understanding, making it suitable for a wide range of audio processing tasks. Priced per token (input and output), it offers transparent, fine-grained billing, making it well suited for workflows that require scalable transcription, integration with LLM pipelines, and cost-aware processing.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.Gemini 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.