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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. Gemini 3.8 FlashGoogleRemove
  2. Qwen3.8 27BAlibabaRemove
  3. Perceptron Mk1.5PerceptronRemove
gemini-3.8-flash vs qwen3.8-27b vs perceptron-mk1.5
AttributeGemini 3.8 Flashgemini-3.8-flashQwen3.8 27Bqwen3.8-27bPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.75 / 1M$0.45 / 1M$0.15 / 1M
Output$3.75 / 1M$3.20 / 1M$1.50 / 1M
Cache Write (5m)$0.75 / 1M$0.45 / 1M$0.15 / 1M
Cache Write (1h)$0.75 / 1M$0.45 / 1M$0.15 / 1M
Cache Read$0.75 / 1M$0.45 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M262K36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderGoogleAlibabaPerceptron
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.