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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. DeepSeek V4.1 FlashDeepSeekRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. GPT-6 LunaOpenAIRemove
  4. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

deepseek-v4.1-flash vs perceptron-mk1.5 vs gpt-6-luna vs gemini-3.5-transcribe
AttributeDeepSeek V4.1 Flashdeepseek-v4.1-flashPerceptron Mk1.5perceptron-mk1.5GPT-6 Lunagpt-6-lunaGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.30 / 1M$0.15 / 1M$0.10 / 1M$0 / 1M
Output$1.20 / 1M$1.50 / 1M$0.50 / 1M$0 / 1M
Cache Write (5m)$0.30 / 1M$0.15 / 1M$0.10 / 1MNot applicable
Cache Write (1h)$0.30 / 1M$0.15 / 1M$0.10 / 1MNot applicable
Cache Read$0.30 / 1M$0.15 / 1M$0.10 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9K1.1M98.3K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesNo
StreamingYesYesYesNo
Catalogue
ProviderDeepSeekPerceptronOpenAIGoogle
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25—2026-09-25
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.