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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. Qwen3.8 27BAlibabaRemove
  2. Gemini 4 ArgonGoogleRemove
  3. Gemini 3.1 Flash Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
qwen3.8-27b vs gemini-4-argon vs gemini-3.1-flash-image-vertex
AttributeQwen3.8 27Bqwen3.8-27bGemini 4 Argongemini-4-argonGemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertex
Pricing
Input$0.45 / 1M$2.00 / 1M—
Output$3.20 / 1M$10.00 / 1M—
Cache Write (5m)$0.45 / 1M$2.00 / 1MNot applicable
Cache Write (1h)$0.45 / 1M$2.00 / 1MNot applicable
Cache Read$0.45 / 1M$2.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M—
Request——$0.067 / request
Billing——Pay Per Request
Context
Max context262K1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderAlibabaGoogleGoogle
Categorychatchatimage
Charge typePay As You GoPay As You GoPay Per Request
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.Gemini 3.1 Flash Image served from Google Vertex AI. Billed per image at US$0.067. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 2K. A request for a larger size, such as 4K or 4096x4096, returns a 2K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size, for example 4096x4096->2048x2048.