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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. GPT-6 Astra ProOpenAIRemove
  3. Perceptron Mk1.5PerceptronRemove
qwen3.8-27b vs gpt-6-astra-pro vs perceptron-mk1.5
AttributeQwen3.8 27Bqwen3.8-27bGPT-6 Astra Progpt-6-astra-proPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.45 / 1M$10.00 / 1M$0.15 / 1M
Output$3.20 / 1M$50.00 / 1M$1.50 / 1M
Cache Write (5m)$0.45 / 1M$10.00 / 1M$0.15 / 1M
Cache Write (1h)$0.45 / 1M$10.00 / 1M$0.15 / 1M
Cache Read$0.45 / 1M$10.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K1M36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderAlibabaOpenAIPerceptron
Categorychatchatchat
Charge typePay 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.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.