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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 3.8 FlashGoogleRemove
  2. Qwen3.8 27BAlibabaRemove
  3. OlympicCoder 32BOpen R1Remove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

gemini-3.8-flash vs qwen3.8-27b vs olympiccoder-32b vs glm-5.3
AttributeGemini 3.8 Flashgemini-3.8-flashQwen3.8 27Bqwen3.8-27bOlympicCoder 32Bolympiccoder-32bGLM 5.3glm-5.3
Pricing
Input$0.75 / 1M$0.45 / 1M$0 / 1M$1.40 / 1M
Output$3.75 / 1M$3.20 / 1M$0 / 1M$4.40 / 1M
Cache Write (5m)$0.75 / 1M$0.45 / 1M$0.00 / 1M$1.40 / 1M
Cache Write (1h)$0.75 / 1M$0.45 / 1M$0.00 / 1M$1.40 / 1M
Cache Read$0.75 / 1M$0.45 / 1M$0.00 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M262K32.8K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoNo
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderGoogleAlibabaOpen R1Z.AI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
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.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.