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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. DeepSeek V4.1 FlashDeepSeekRemove
  2. Llama 3 70BMetaRemove
  3. GPT-6 AstraOpenAIRemove
deepseek-v4.1-flash vs llama-3-70b vs gpt-6-astra
AttributeDeepSeek V4.1 Flashdeepseek-v4.1-flashLlama 3 70Bllama-3-70bGPT-6 Astragpt-6-astra
Pricing
Input$0.30 / 1M$0.59 / 1M$10.00 / 1M
Output$1.20 / 1M$0.79 / 1M$50.00 / 1M
Cache Write (5m)$0.30 / 1M$0.59 / 1M$10.00 / 1M
Cache Write (1h)$0.30 / 1M$0.59 / 1M$10.00 / 1M
Cache Read$0.30 / 1M$0.59 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M128K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderDeepSeekMetaOpenAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryDeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.