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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. Gemini 3.5 TranscribeGoogleRemove
  2. Qwen3.8 27BAlibabaRemove
  3. Gemini 3.8 FlashGoogleRemove
  4. Muse Spark OpenMetaRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs qwen3.8-27b vs gemini-3.8-flash vs muse-spark-open
AttributeGemini 3.5 Transcribegemini-3.5-transcribeQwen3.8 27Bqwen3.8-27bGemini 3.8 Flashgemini-3.8-flashMuse Spark Openmuse-spark-open
Pricing
Input— Not priced per input token$0.45 / 1M$0.75 / 1M$1.25 / 1M
Output— Not priced per output token$3.20 / 1M$3.75 / 1M$4.25 / 1M
Cache Write (5m)Not applicable$0.45 / 1M$0.75 / 1M$1.25 / 1M
Cache Write (1h)Not applicable$0.45 / 1M$0.75 / 1M$1.25 / 1M
Cache ReadNot applicable$0.45 / 1M$0.75 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K262K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderGoogleAlibabaGoogleMeta
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25———
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.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.