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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. GPT-6 Astra ProOpenAIRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

qwen3.8-27b vs gemini-4-argon vs gpt-6-astra-pro vs perceptron-mk1.5
AttributeQwen3.8 27Bqwen3.8-27bGemini 4 Argongemini-4-argonGPT-6 Astra Progpt-6-astra-proPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.45 / 1M$2.00 / 1M$10.00 / 1M$0.15 / 1M
Output$3.20 / 1M$10.00 / 1M$50.00 / 1M$1.50 / 1M
Cache Write (5m)$0.45 / 1M$2.00 / 1M$10.00 / 1M$0.15 / 1M
Cache Write (1h)$0.45 / 1M$2.00 / 1M$10.00 / 1M$0.15 / 1M
Cache Read$0.45 / 1M$2.00 / 1M$10.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K1M1M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesYes
Catalogue
ProviderAlibabaGoogleOpenAIPerceptron
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released———2026-09-25
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.GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.