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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. S2 ProFish AudioRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
  4. GPT-6 SolOpenAIRemove

4 is the maximum. Remove one to add another.

s2-pro vs gemini-3.5-transcribe vs deepseek-v4.1-flash vs gpt-6-sol
AttributeS2 Pros2-proGemini 3.5 Transcribegemini-3.5-transcribeDeepSeek V4.1 Flashdeepseek-v4.1-flashGPT-6 Solgpt-6-sol
Pricing
Input$0 / 1M$0 / 1M$0.30 / 1M$2.00 / 1M
Output$0 / 1M$0 / 1M$1.20 / 1M$10.00 / 1M
Cache Write (5m)Not applicableNot applicable$0.30 / 1M$2.00 / 1M
Cache Write (1h)Not applicableNot applicable$0.30 / 1M$2.00 / 1M
Cache ReadNot applicableNot applicable$0.30 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A98.3K1M1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoNoYesYes
StreamingNoNoYesYes
Catalogue
ProviderFish AudioGoogleDeepSeekOpenAI
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-292026-09-25——
Description
SummaryFish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.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.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications