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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. GPT-6 AstraOpenAIRemove
  2. DeepSeek V4.1 FlashDeepSeekRemove
  3. Muse Glimmer 30BMetaRemove
gpt-6-astra vs deepseek-v4.1-flash vs muse-glimmer-30b
AttributeGPT-6 Astragpt-6-astraDeepSeek V4.1 Flashdeepseek-v4.1-flashMuse Glimmer 30Bmuse-glimmer-30b
Pricing
Input$10.00 / 1M$0.30 / 1M$0.35 / 1M
Output$50.00 / 1M$1.20 / 1M$1.50 / 1M
Cache Write (5m)$10.00 / 1M$0.30 / 1M$0.35 / 1M
Cache Write (1h)$10.00 / 1M$0.30 / 1M$0.35 / 1M
Cache Read$10.00 / 1M$0.30 / 1M$0.35 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M131K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderOpenAIDeepSeekMeta
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-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.DeepSeek 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.Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It combines strong multi-step reasoning, reliable tool use, failure recovery, image understanding, and multilingual support across 100+ languages. Designed for long-horizon agentic and coding workflows, Muse Glimmer 30B offers a practical balance of capability and deployment efficiency, making it well suited for local coding assistants, multimodal agents, and production workflows that require sustained autonomous execution.