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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 Mini TranscribeOpenAIRemove
  2. DeepSeek V4.1 FlashDeepSeekRemove
  3. Gemini 3.7 FlashGoogleRemove
gpt-4o-mini-transcribe vs deepseek-v4.1-flash vs gemini-3.7-flash
AttributeGPT-4o Mini Transcribegpt-4o-mini-transcribeDeepSeek V4.1 Flashdeepseek-v4.1-flashGemini 3.7 Flashgemini-3.7-flash
Pricing
Input$0.625 / 1M$0.30 / 1M$0.375 / 1M
Output$0.625 / 1M$1.20 / 1M$1.88 / 1M
Cache Write (5m)Not applicable$0.30 / 1M$0.375 / 1M
Cache Write (1h)Not applicable$0.30 / 1M$0.375 / 1M
Cache ReadNot applicable$0.30 / 1M$0.375 / 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 Mini Transcribe is a smaller, cost-efficient speech-to-text model built on GPT-4o Mini's audio capabilities. It is designed for high-volume transcription workloads, delivering reliable performance with lower cost and latency. Priced per token (input and output), it provides transparent, fine-grained billing, making it well suited for scalable transcription pipelines, real-time applications, and cost-sensitive deployments.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 3.7 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.