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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. Muse Spark 1.3MetaRemove
  2. S1Fish AudioRemove
  3. Qwen3 ASR 0.6BQwenRemove
  4. Voxtral Mini 3B 2507Mistral AIRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs s1 vs qwen3-asr-0.6b vs voxtral-mini-3b-2507
AttributeMuse Spark 1.3muse-spark-1.3S1s1Qwen3 ASR 0.6Bqwen3-asr-0.6bVoxtral Mini 3B 2507voxtral-mini-3b-2507
Pricing
Input$1.25 / 1M$0 / 1M$0 / 1M$0 / 1M
Output$4.25 / 1M$0 / 1M$0 / 1M$0 / 1M
Cache Write (5m)$1.25 / 1MNot applicableNot applicableNot applicable
Cache Write (1h)$1.25 / 1MNot applicableNot applicableNot applicable
Cache Read$1.25 / 1MNot applicableNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/AN/AN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoNo
Function CallingYesNoNoNo
JSON ModeYesNoNoNo
StreamingYesNoNoNo
Catalogue
ProviderMetaFish AudioQwenMistral AI
Categorychatvoicevoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-292026-08-132026-08-13
Description
SummaryMuse 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.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.Mistral AI Voxtral Mini (3B) speech-to-text. Billed per second of audio.