Skip to content

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. Grok 4.20 Multi-AgentxAIRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. GPT-6 Sol ProOpenAIRemove
grok-4.20-multi-agent vs gemini-3.5-transcribe vs gpt-6-sol-pro
AttributeGrok 4.20 Multi-Agentgrok-4.20-multi-agentGemini 3.5 Transcribegemini-3.5-transcribeGPT-6 Sol Progpt-6-sol-pro
Pricing
Input$2.00 / 1M— Not priced per input token$2.00 / 1M
Output$6.00 / 1M— Not priced per output token$10.00 / 1M
Cache Write (5m)$2.00 / 1MNot applicable$2.00 / 1M
Cache Write (1h)$2.00 / 1MNot applicable$2.00 / 1M
Cache Read$2.00 / 1MNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context2M98.3K1.1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderxAIGoogleOpenAI
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-25—
Description
SummaryGrok 4.20 Multi-Agent is a specialized variant of xAI's Grok 4.20 designed for collaborative, agent-based workflows. It enables multiple agents to operate in parallel, coordinating tool use and synthesizing information to handle complex, multi-step tasks. Optimized for deep research and large-scale problem solving, the model supports configurable reasoning effort: 4 agents for low/medium settings and up to 16 agents for high/xhigh settings, enabling scalable parallel reasoning and execution.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.