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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. Voxtral Mini 3B 2507Mistral AIRemove
  3. S1Fish AudioRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

qwen3-asr-0.6b vs voxtral-mini-3b-2507 vs s1 vs muse-spark-1.3
AttributeQwen3 ASR 0.6Bqwen3-asr-0.6bVoxtral Mini 3B 2507voxtral-mini-3b-2507S1s1Muse Spark 1.3muse-spark-1.3
Pricing
Input$0 / 1M$0 / 1M$0 / 1M$1.25 / 1M
Output$0 / 1M$0 / 1M$0 / 1M$4.25 / 1M
Cache Write (5m)Not applicableNot applicableNot applicable$1.25 / 1M
Cache Write (1h)Not applicableNot applicableNot applicable$1.25 / 1M
Cache ReadNot applicableNot applicableNot applicable$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/AN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoNoYes
Function CallingNoNoNoYes
JSON ModeNoNoNoYes
StreamingNoNoNoYes
Catalogue
ProviderQwenMistral AIFish AudioMeta
Categoryvoicevoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-08-132026-08-132026-07-29—
Description
SummaryQwen3-ASR 0.6B speech-to-text. Billed per second of audio.Mistral AI Voxtral Mini (3B) speech-to-text. Billed per second of audio.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.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.