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. Voxtral Mini 3B 2507Mistral AIRemove
  2. S1Fish AudioRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
  4. GPT-6 LunaOpenAIRemove

4 is the maximum. Remove one to add another.

voxtral-mini-3b-2507 vs s1 vs deepseek-v4.1-flash vs gpt-6-luna
AttributeVoxtral Mini 3B 2507voxtral-mini-3b-2507S1s1DeepSeek V4.1 Flashdeepseek-v4.1-flashGPT-6 Lunagpt-6-luna
Pricing
Input$0 / 1M$0 / 1M$0.30 / 1M$0.10 / 1M
Output$0 / 1M$0 / 1M$1.20 / 1M$0.50 / 1M
Cache Write (5m)Not applicableNot applicable$0.30 / 1M$0.10 / 1M
Cache Write (1h)Not applicableNot applicable$0.30 / 1M$0.10 / 1M
Cache ReadNot applicableNot applicable$0.30 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A1M1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoYesYes
StreamingNoNoYesYes
Catalogue
ProviderMistral AIFish AudioDeepSeekOpenAI
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-08-132026-07-29——
Description
SummaryMistral AI Voxtral Mini (3B) speech-to-text. Billed per second of audio.Fish 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.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.