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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. Transcribe 1 ProFish AudioRemove
  2. Muse Spark OpenMetaRemove
  3. DeepSeek V4 Pro 0813DeepSeekRemove
transcribe-1-pro vs muse-spark-open vs deepseek-v4-pro-0813
AttributeTranscribe 1 Protranscribe-1-proMuse Spark Openmuse-spark-openDeepSeek V4 Pro 0813deepseek-v4-pro-0813
Pricing
Input— Not priced per input token$1.25 / 1M$0.435 / 1M
Output— Not priced per output token$4.25 / 1M$0.87 / 1M
Cache Write (5m)Not applicable$1.25 / 1M$0.435 / 1M
Cache Write (1h)Not applicable$1.25 / 1M$0.435 / 1M
Cache ReadNot applicable$1.25 / 1M$0.435 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderFish AudioMetaDeepSeek
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-24——
Description
SummaryFish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.DeepSeek V4 Pro 0813 is DeepSeek's large-scale Mixture-of-Experts (MoE) model and the general availability (GA) release of DeepSeek V4 Pro. It is designed for high-capability workloads requiring advanced reasoning, coding, and agentic task execution. As the production-ready V4 Pro release, it is well suited for complex software engineering, long-horizon agent workflows, and demanding reasoning tasks where reliability and model capability are critical.