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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. S1Fish AudioRemove
  2. DeepSeek V4.1 FlashDeepSeekRemove
  3. Grok STT 1.0xAIRemove
  4. GPT-6 Luna ProOpenAIRemove

4 is the maximum. Remove one to add another.

s1 vs deepseek-v4.1-flash vs grok-stt-1.0 vs gpt-6-luna-pro
AttributeS1s1DeepSeek V4.1 Flashdeepseek-v4.1-flashGrok STT 1.0grok-stt-1.0GPT-6 Luna Progpt-6-luna-pro
Pricing
Input$0 / 1M$0.30 / 1M$0 / 1M$0.10 / 1M
Output$0 / 1M$1.20 / 1M$0 / 1M$0.50 / 1M
Cache Write (5m)Not applicable$0.30 / 1MNot applicable$0.10 / 1M
Cache Write (1h)Not applicable$0.30 / 1MNot applicable$0.10 / 1M
Cache ReadNot applicable$0.30 / 1MNot applicable$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1MN/A1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoYes
Function CallingNoYesNoYes
JSON ModeNoYesNoYes
StreamingNoYesNoYes
Catalogue
ProviderFish AudioDeepSeekxAIOpenAI
Categoryvoicechatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-29—2026-07-23—
Description
SummaryFish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.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.xAI Grok STT 1.0 speech-to-text. Billed per second of audio.GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.