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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-6.1 SolOpenAIRemove
  2. Gemini 4 ArgonGoogleRemove
  3. GLM 5Z.AIRemove
gpt-6.1-sol vs gemini-4-argon vs glm-5
AttributeGPT-6.1 Solgpt-6.1-solGemini 4 Argongemini-4-argonGLM 5glm-5
Pricing
Input$2.00 / 1M$2.00 / 1M$0.60 / 1M
Output$10.00 / 1M$10.00 / 1M$2.20 / 1M
Cache Write (5m)$2.00 / 1M$2.00 / 1M$0.60 / 1M
Cache Write (1h)$2.00 / 1M$2.00 / 1M$0.60 / 1M
Cache Read$2.00 / 1M$2.00 / 1M$0.60 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M202.8K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderOpenAIGoogleZ.AI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryGPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.GLM-5 is Z.AI's flagship open-source foundation model, engineered for complex systems design and long-horizon agent workflows. Built with expert developers in mind, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With strong agentic planning, deep backend reasoning, and iterative self-correction capabilities, GLM-5 extends beyond traditional code generation to support full-system construction and autonomous execution, making it well suited for advanced engineering and agent-driven development environments.