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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. Gemini 3.5 TranscribeGoogleRemove
qwen3-asr-1.7b vs deepseek-v4.1-flash vs gemini-3.5-transcribe
AttributeQwen3 ASR 1.7Bqwen3-asr-1.7bDeepSeek V4.1 Flashdeepseek-v4.1-flashGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0 / 1M$0.30 / 1M$0 / 1M
Output$0 / 1M$1.20 / 1M$0 / 1M
Cache Write (5m)Not applicable$0.30 / 1MNot applicable
Cache Write (1h)Not applicable$0.30 / 1MNot applicable
Cache ReadNot applicable$0.30 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesNo
StreamingNoYesNo
Catalogue
ProviderQwenDeepSeekGoogle
Categoryvoicechatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released2026-08-13—2026-09-25
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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.