Gemini 2.5 Pro is $0.75 cheaper per 1M input tokens (37.5% lower; 1.6x difference).
API cost decision in 10 seconds
Gemini 2.5 Pro vs Grok 4.20 Multi-Agent
Pick Grok 4.20 Multi-Agent when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Grok 4.20 Multi-Agent when budget and context both matter.
On the standard 1M input plus 500K output workload, Grok 4.20 Multi-Agent is estimated at $5 vs $6.25 for Gemini 2.5 Pro, saving $1.25 (20% lower).
Cost-first pickGrok 4.20 Multi-Agent
Context-first pickGrok 4.20 Multi-Agent
Sample savings$1.2520%
10x traffic gap$12.5
Grok 4.20 Multi-Agent is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $12.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Gemini 2.5 Pro, balanced workload favors Grok 4.20 Multi-Agent, and output-heavy chatbot favors Grok 4.20 Multi-Agent.
| Workload shape | Token mix | Better pick | Gemini 2.5 Pro | Grok 4.20 Multi-Agent |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Gemini 2.5 Pro | $11.25 | $13 |
| Balanced workload | 1M input + 1M output | Grok 4.20 Multi-Agent | $11.25 | $8 |
| Output-heavy chatbot | 1M input + 5M output | Grok 4.20 Multi-Agent | $51.25 | $32 |
Grok 4.20 Multi-Agent is $4 cheaper per 1M output tokens (40% lower; 1.67x difference).
Grok 4.20 Multi-Agent has 951.42K more context (1.91x larger).
Grok 4.20 Multi-Agent is $1.25 cheaper on the standard workload (20% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Gemini 2.5 Pro has the lower input price; Grok 4.20 Multi-Agent has the lower output price; Grok 4.20 Multi-Agent offers the larger context window. For the 1M input plus 500K output sample, Grok 4.20 Multi-Agent is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $6.25 for Gemini 2.5 Pro and $5 for Grok 4.20 Multi-Agent.
Choose Gemini 2.5 Pro when you care most about lower input-token price.
Choose Grok 4.20 Multi-Agent when you care most about lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Grok 4.20 Multi-Agent is estimated at $5 vs $6.25 for Gemini 2.5 Pro, saving $1.25 (20% lower).
- Grok 4.20 Multi-Agent is $1.25 cheaper on the standard workload (20% lower).
- Gemini 2.5 Pro is $0.75 cheaper per 1M input tokens (37.5% lower; 1.6x difference).
- Grok 4.20 Multi-Agent is $4 cheaper per 1M output tokens (40% lower; 1.67x difference).
- Grok 4.20 Multi-Agent has 951.42K more context (1.91x larger).
| Feature | Gemini 2.5 Pro (Google) | Grok 4.20 Multi-Agent (xAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.25 | $2 |
| Completion Price per 1M tokens | $10 | $6 |
| Sample Workload Cost 1M input + 500K output | $6.25 | $5 |
| Context Window | 1.05M | 2M |
| Release Date | ||
| Popularity | #52 | #139 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Grok 4.20 Multi-Agent | On the standard 1M input plus 500K output workload, Grok 4.20 Multi-Agent is estimated at $5 vs $6.25 for Gemini 2.5 Pro, saving $1.25 (20% lower). |
| High-volume input processing | Gemini 2.5 Pro | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Grok 4.20 Multi-Agent | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Grok 4.20 Multi-Agent | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
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Open xAI modelsGemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Grok 4.20 Multi-Agent is a variant of xAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information...