Skip to content

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 4 ArgonGoogleRemove
  2. Qwen3.8 27BAlibabaRemove
  3. Claude Fable 5.1AnthropicRemove
gemini-4-argon vs qwen3.8-27b vs claude-fable-5.1
AttributeGemini 4 Argongemini-4-argonQwen3.8 27Bqwen3.8-27bClaude Fable 5.1claude-fable-5.1
Pricing
Input$2.00 / 1M$0.45 / 1M$10.00 / 1M
Output$10.00 / 1M$3.20 / 1M$50.00 / 1M
Cache Write (5m)$2.00 / 1M$0.45 / 1M$12.50 / 1M
Cache Write (1h)$2.00 / 1M$0.45 / 1M$20.00 / 1M
Cache Read$2.00 / 1M$0.45 / 1M$0.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M262K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderGoogleAlibabaAnthropic
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryGemini 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.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.Claude Fable 5.1 is an upgraded version of Fable 5, delivering broad improvements with particularly strong gains in agentic coding, long-running workflows, and professional knowledge work. It excels at large code refactors, front-end and visual code generation, financial analysis, and complex analytical tasks. Compared with Fable 5, it also produces more concise plans and summaries while maintaining strong performance across extended tasks, making it a natural upgrade for existing Fable workflows and a strong option alongside Opus 5 for reasoning-intensive applications.