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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. Qwen3 ASR 0.6BQwenRemove
  4. MAI-Transcribe 2MicrosoftRemove

4 is the maximum. Remove one to add another.

deepseek-v4.1-flash vs perceptron-mk1.5 vs qwen3-asr-0.6b vs mai-transcribe-2
AttributeDeepSeek V4.1 Flashdeepseek-v4.1-flashPerceptron Mk1.5perceptron-mk1.5Qwen3 ASR 0.6Bqwen3-asr-0.6bMAI-Transcribe 2mai-transcribe-2
Pricing
Input$0.30 / 1M$0.15 / 1M$0 / 1M$0 / 1M
Output$1.20 / 1M$1.50 / 1M$0 / 1M$0 / 1M
Cache Write (5m)$0.30 / 1M$0.15 / 1MNot applicableNot applicable
Cache Write (1h)$0.30 / 1M$0.15 / 1MNot applicableNot applicable
Cache Read$0.30 / 1M$0.15 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9KN/AN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoNo
Function CallingYesNoNoNo
JSON ModeYesNoNoNo
StreamingYesYesNoNo
Catalogue
ProviderDeepSeekPerceptronQwenMicrosoft
Categorychatchatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-252026-08-132026-09-03
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.Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.Microsoft MAI-Transcribe-2 speech-to-text. Billed per second of audio.