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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. Codestral 2501Mistral AIRemove
  2. Muse Spark 1.3MetaRemove
  3. GPT-6 AstraOpenAIRemove
codestral-2501 vs muse-spark-1.3 vs gpt-6-astra
AttributeCodestral 2501codestral-2501Muse Spark 1.3muse-spark-1.3GPT-6 Astragpt-6-astra
Pricing
Input$0.30 / 1M$1.25 / 1M$10.00 / 1M
Output$0.90 / 1M$4.25 / 1M$50.00 / 1M
Cache Write (5m)$0.30 / 1M$1.25 / 1M$10.00 / 1M
Cache Write (1h)$0.30 / 1M$1.25 / 1M$10.00 / 1M
Cache Read$0.30 / 1M$1.25 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context262.1K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderMistral AIMetaOpenAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryMuse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.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.