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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. GPT-6 Astra ProOpenAIRemove
  2. Llama 3.1 Nemotron 70B InstructNVIDIARemove
  3. Hy4 previewTencentRemove
gpt-6-astra-pro vs llama-3.1-nemotron-70b-instruct vs hy4-preview
AttributeGPT-6 Astra Progpt-6-astra-proLlama 3.1 Nemotron 70B Instructllama-3.1-nemotron-70b-instructHy4 previewhy4-preview
Pricing
Input$10.00 / 1M$0.12 / 1M$0.834 / 1M
Output$50.00 / 1M$0.30 / 1M$2.50 / 1M
Cache Write (5m)$10.00 / 1M$0.12 / 1M$0.834 / 1M
Cache Write (1h)$10.00 / 1M$0.12 / 1M$0.834 / 1M
Cache Read$10.00 / 1M$0.12 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M131.1K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderOpenAINVIDIATencent
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-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.