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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. Qwen3.8 27BAlibabaRemove
  2. Gemini 4 ArgonGoogleRemove
  3. Muse Spark 1.3MetaRemove
  4. Claude Sonnet 5.5AnthropicRemove

4 is the maximum. Remove one to add another.

qwen3.8-27b vs gemini-4-argon vs muse-spark-1.3 vs claude-sonnet-5.5
AttributeQwen3.8 27Bqwen3.8-27bGemini 4 Argongemini-4-argonMuse Spark 1.3muse-spark-1.3Claude Sonnet 5.5claude-sonnet-5.5
Pricing
Input$0.45 / 1M$2.00 / 1M$1.25 / 1M$2.00 / 1M
Output$3.20 / 1M$10.00 / 1M$4.25 / 1M$10.00 / 1M
Cache Write (5m)$0.45 / 1M$2.00 / 1M$1.25 / 1M$2.50 / 1M
Cache Write (1h)$0.45 / 1M$2.00 / 1M$1.25 / 1M$4.00 / 1M
Cache Read$0.45 / 1M$2.00 / 1M$1.25 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderAlibabaGoogleMetaAnthropic
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released————
Description
SummaryQwen3.8 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 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.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.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.