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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 1.7BQwenRemove
  2. DeepSeek V4.1 FlashDeepSeekRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. Grok STT 1.0xAIRemove

4 is the maximum. Remove one to add another.

qwen3-asr-1.7b vs deepseek-v4.1-flash vs perceptron-mk1.5 vs grok-stt-1.0
AttributeQwen3 ASR 1.7Bqwen3-asr-1.7bDeepSeek V4.1 Flashdeepseek-v4.1-flashPerceptron Mk1.5perceptron-mk1.5Grok STT 1.0grok-stt-1.0
Pricing
Input$0 / 1M$0.30 / 1M$0.15 / 1M$0 / 1M
Output$0 / 1M$1.20 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)Not applicable$0.30 / 1M$0.15 / 1MNot applicable
Cache Write (1h)Not applicable$0.30 / 1M$0.15 / 1MNot applicable
Cache ReadNot applicable$0.30 / 1M$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M36.9KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoNo
Function CallingNoYesNoNo
JSON ModeNoYesNoNo
StreamingNoYesYesNo
Catalogue
ProviderQwenDeepSeekPerceptronxAI
Categoryvoicechatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-08-13—2026-09-252026-07-23
Description
SummaryQwen3-ASR 1.7B speech-to-text. Billed per second of audio.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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.xAI Grok STT 1.0 speech-to-text. Billed per second of audio.