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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. Qwen3.8 27BAlibabaRemove
  2. GPT-6 Astra ProOpenAIRemove
  3. Codestral 2501Mistral AIRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

qwen3.8-27b vs gpt-6-astra-pro vs codestral-2501 vs hy4-preview
AttributeQwen3.8 27Bqwen3.8-27bGPT-6 Astra Progpt-6-astra-proCodestral 2501codestral-2501Hy4 previewhy4-preview
Pricing
Input$0.45 / 1M$10.00 / 1M$0.30 / 1M$0.834 / 1M
Output$3.20 / 1M$50.00 / 1M$0.90 / 1M$2.50 / 1M
Cache Write (5m)$0.45 / 1M$10.00 / 1M$0.30 / 1M$0.834 / 1M
Cache Write (1h)$0.45 / 1M$10.00 / 1M$0.30 / 1M$0.834 / 1M
Cache Read$0.45 / 1M$10.00 / 1M$0.30 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262K1M262.1K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderAlibabaOpenAIMistral AITencent
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
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.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.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.