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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. GPT-6 Astra ProOpenAIRemove
  2. Muse Spark 1.3MetaRemove
  3. S1Fish AudioRemove
  4. Qwen3 ASR 1.7BQwenRemove

4 is the maximum. Remove one to add another.

gpt-6-astra-pro vs muse-spark-1.3 vs s1 vs qwen3-asr-1.7b
AttributeGPT-6 Astra Progpt-6-astra-proMuse Spark 1.3muse-spark-1.3S1s1Qwen3 ASR 1.7Bqwen3-asr-1.7b
Pricing
Input$10.00 / 1M$1.25 / 1M$0 / 1M$0 / 1M
Output$50.00 / 1M$4.25 / 1M$0 / 1M$0 / 1M
Cache Write (5m)$10.00 / 1M$1.25 / 1MNot applicableNot applicable
Cache Write (1h)$10.00 / 1M$1.25 / 1MNot applicableNot applicable
Cache Read$10.00 / 1M$1.25 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1MN/AN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoNo
JSON ModeYesYesNoNo
StreamingYesYesNoNo
Catalogue
ProviderOpenAIMetaFish AudioQwen
Categorychatchatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-07-292026-08-13
Description
SummaryGPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.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.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.