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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. Qwen3 ASR 0.6BQwenRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. DeepSeek V4.1 FlashDeepSeekRemove

4 is the maximum. Remove one to add another.

qwen3-asr-0.6b vs gemini-3.5-transcribe vs perceptron-mk1.5 vs deepseek-v4.1-flash
AttributeQwen3 ASR 0.6Bqwen3-asr-0.6bGemini 3.5 Transcribegemini-3.5-transcribePerceptron Mk1.5perceptron-mk1.5DeepSeek V4.1 Flashdeepseek-v4.1-flash
Pricing
Input$0 / 1M$0 / 1M$0.15 / 1M$0.30 / 1M
Output$0 / 1M$0 / 1M$1.50 / 1M$1.20 / 1M
Cache Write (5m)Not applicableNot applicable$0.15 / 1M$0.30 / 1M
Cache Write (1h)Not applicableNot applicable$0.15 / 1M$0.30 / 1M
Cache ReadNot applicableNot applicable$0.15 / 1M$0.30 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A98.3K36.9K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoYes
Function CallingNoYesNoYes
JSON ModeNoNoNoYes
StreamingNoNoYesYes
Catalogue
ProviderQwenGooglePerceptronDeepSeek
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-08-132026-09-252026-09-25—
Description
SummaryQwen3-ASR 0.6B speech-to-text. Billed per second of audio.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.