GPT-5.3-Codex is $0.25 cheaper per 1M input tokens (12.5% lower; 1.14x difference).
API cost decision in 10 seconds
NewGoogle Gemini Pro Latest vs GPT-5.3-Codex
Pick Google Gemini Pro Latest when budget and context both matter.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Google Gemini Pro Latest when budget and context both matter.
On the standard 1M input plus 500K output workload, Google Gemini Pro Latest is estimated at $8 vs $8.75 for GPT-5.3-Codex, saving $0.75 (8.6% lower).
Cost-first pickGoogle Gemini Pro Latest
Context-first pickGoogle Gemini Pro Latest
Sample savings$0.758.6%
10x traffic gap$7.5
Google Gemini Pro Latest is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $7.5. 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 GPT-5.3-Codex, balanced workload favors Google Gemini Pro Latest, and output-heavy chatbot favors Google Gemini Pro Latest.
| Workload shape | Token mix | Better pick | Google Gemini Pro Latest | GPT-5.3-Codex |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-5.3-Codex | $16 | $15.75 |
| Balanced workload | 1M input + 1M output | Google Gemini Pro Latest | $14 | $15.75 |
| Output-heavy chatbot | 1M input + 5M output | Google Gemini Pro Latest | $62 | $71.75 |
Google Gemini Pro Latest is $2 cheaper per 1M output tokens (14.3% lower; 1.17x difference).
Google Gemini Pro Latest has 648.58K more context (2.62x larger).
Google Gemini Pro Latest is $0.75 cheaper on the standard workload (8.6% 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
GPT-5.3-Codex has the lower input price; Google Gemini Pro Latest has the lower output price; Google Gemini Pro Latest offers the larger context window. For the 1M input plus 500K output sample, Google Gemini Pro Latest is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $8 for Google Gemini Pro Latest and $8.75 for GPT-5.3-Codex.
Choose Google Gemini Pro Latest when you care most about lower output-token price, and larger context window.
Choose GPT-5.3-Codex when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, Google Gemini Pro Latest is estimated at $8 vs $8.75 for GPT-5.3-Codex, saving $0.75 (8.6% lower).
- Google Gemini Pro Latest is $0.75 cheaper on the standard workload (8.6% lower).
- GPT-5.3-Codex is $0.25 cheaper per 1M input tokens (12.5% lower; 1.14x difference).
- Google Gemini Pro Latest is $2 cheaper per 1M output tokens (14.3% lower; 1.17x difference).
- Google Gemini Pro Latest has 648.58K more context (2.62x larger).
| Feature | NewGoogle Gemini Pro Latest (Google) | GPT-5.3-Codex (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $2 | $1.75 |
| Completion Price per 1M tokens | $12 | $14 |
| Sample Workload Cost 1M input + 500K output | $8 | $8.75 |
| Context Window | 1.05M | 400K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Google Gemini Pro Latest | On the standard 1M input plus 500K output workload, Google Gemini Pro Latest is estimated at $8 vs $8.75 for GPT-5.3-Codex, saving $0.75 (8.6% lower). |
| High-volume input processing | GPT-5.3-Codex | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Google Gemini Pro Latest | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Google Gemini Pro Latest | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
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- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
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- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- GPT-5.4 offers 1.05M context with $10 sample workload cost.
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GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results...