Gemini 3.5 Flash (batch) is $0.25 cheaper per 1M input tokens (25% lower; 1.33x difference).
API cost decision in 10 seconds
Grok Build 0.1 vs Gemini 3.5 Flash (batch)
Pick Grok Build 0.1 for lower cost; pick Gemini 3.5 Flash (batch) only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Grok Build 0.1 for lower cost; pick Gemini 3.5 Flash (batch) only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Grok Build 0.1 is estimated at $2 vs $3 for Gemini 3.5 Flash (batch), saving $1 (33.3% lower).
Cost-first pickGrok Build 0.1
Context-first pickGemini 3.5 Flash (batch)
Sample savings$133.3%
10x traffic gap$10
Gemini 3.5 Flash (batch) has more context, but Grok Build 0.1 saves $1 on the standard workload. At 10x that traffic, the same price gap is about $10. 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 Tie, balanced workload favors Grok Build 0.1, and output-heavy chatbot favors Grok Build 0.1.
| Workload shape | Token mix | Better pick | Grok Build 0.1 | Gemini 3.5 Flash (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Tie | $6 | $6 |
| Balanced workload | 1M input + 1M output | Grok Build 0.1 | $3 | $5.25 |
| Output-heavy chatbot | 1M input + 5M output | Grok Build 0.1 | $11 | $23.25 |
Grok Build 0.1 is $2.5 cheaper per 1M output tokens (55.6% lower; 2.25x difference).
Gemini 3.5 Flash (batch) has 792.58K more context (4.1x larger).
Grok Build 0.1 is $1 cheaper on the standard workload (33.3% 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 3.5 Flash (batch) has the lower input price; Grok Build 0.1 has the lower output price; Gemini 3.5 Flash (batch) offers the larger context window. For the 1M input plus 500K output sample, Grok Build 0.1 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $2 for Grok Build 0.1 and $3 for Gemini 3.5 Flash (batch).
Choose Grok Build 0.1 when you care most about lower output-token price.
Choose Gemini 3.5 Flash (batch) when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Grok Build 0.1 is estimated at $2 vs $3 for Gemini 3.5 Flash (batch), saving $1 (33.3% lower).
- Grok Build 0.1 is $1 cheaper on the standard workload (33.3% lower).
- Gemini 3.5 Flash (batch) is $0.25 cheaper per 1M input tokens (25% lower; 1.33x difference).
- Grok Build 0.1 is $2.5 cheaper per 1M output tokens (55.6% lower; 2.25x difference).
- Gemini 3.5 Flash (batch) has 792.58K more context (4.1x larger).
| Feature | Grok Build 0.1 (SpaceXAI) | Gemini 3.5 Flash (batch) (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $1 | $0.75 |
| Completion Price per 1M tokens | $2 | $4.5 |
| Sample Workload Cost 1M input + 500K output | $2 | $3 |
| Context Window | 256K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Grok Build 0.1 | On the standard 1M input plus 500K output workload, Grok Build 0.1 is estimated at $2 vs $3 for Gemini 3.5 Flash (batch), saving $1 (33.3% lower). |
| High-volume input processing | Gemini 3.5 Flash (batch) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Grok Build 0.1 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Gemini 3.5 Flash (batch) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
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Open Google modelsGrok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...