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. DeepSeek V4.1 FlashDeepSeekRemove
  2. Qwen3 ASR 0.6BQwenRemove
  3. S2 ProFish AudioRemove
  4. GPT-6 LunaOpenAIRemove

4 is the maximum. Remove one to add another.

deepseek-v4.1-flash vs qwen3-asr-0.6b vs s2-pro vs gpt-6-luna
AttributeDeepSeek V4.1 Flashdeepseek-v4.1-flashQwen3 ASR 0.6Bqwen3-asr-0.6bS2 Pros2-proGPT-6 Lunagpt-6-luna
Pricing
Input$0.30 / 1M$0 / 1M$0 / 1M$0.10 / 1M
Output$1.20 / 1M$0 / 1M$0 / 1M$0.50 / 1M
Cache Write (5m)$0.30 / 1MNot applicableNot applicable$0.10 / 1M
Cache Write (1h)$0.30 / 1MNot applicableNot applicable$0.10 / 1M
Cache Read$0.30 / 1MNot applicableNot applicable$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/AN/A1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoYes
StreamingYesNoNoYes
Catalogue
ProviderDeepSeekQwenFish AudioOpenAI
Categorychatvoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-08-132026-07-29—
Description
SummaryDeepSeek 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.Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.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.