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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. Qwen3 ASR 1.7BQwenRemove
  3. Muse Spark 1.3MetaRemove
  4. Aura-2DeepgramRemove

4 is the maximum. Remove one to add another.

qwen3-asr-0.6b vs qwen3-asr-1.7b vs muse-spark-1.3 vs aura-2
AttributeQwen3 ASR 0.6Bqwen3-asr-0.6bQwen3 ASR 1.7Bqwen3-asr-1.7bMuse Spark 1.3muse-spark-1.3Aura-2aura-2
Pricing
Input$0 / 1M$0 / 1M$1.25 / 1M$0 / 1M
Output$0 / 1M$0 / 1M$4.25 / 1M$0 / 1M
Cache Write (5m)Not applicableNot applicable$1.25 / 1MNot applicable
Cache Write (1h)Not applicableNot applicable$1.25 / 1MNot applicable
Cache ReadNot applicableNot applicable$1.25 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesNo
Function CallingNoNoYesNo
JSON ModeNoNoYesNo
StreamingNoNoYesNo
Catalogue
ProviderQwenQwenMetaDeepgram
Categoryvoicevoicechatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-08-132026-08-13—2026-07-16
Description
SummaryQwen3-ASR 0.6B speech-to-text. Billed per second of audio.Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.