DeepSeek Pro Latest is $0.78 cheaper per 1M input tokens (77.5% lower; 4.44x difference).
API cost decision in 10 seconds
NewGemini 4 Argon (batch) vs DeepSeek Pro Latest
Pick Gemini 4 Argon (batch) when budget is the priority.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Gemini 4 Argon (batch) when budget is the priority.
On the standard 1M input plus 500K output workload, Gemini 4 Argon (batch) is estimated at $3.5 vs $4.22 for DeepSeek Pro Latest, saving $0.72 (17.2% lower).
Cost-first pickGemini 4 Argon (batch)
Context-first pickBoth models
Sample savings$0.7217.2%
10x traffic gap$7.25
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $7.25. 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 DeepSeek Pro Latest, balanced workload favors Gemini 4 Argon (batch), and output-heavy chatbot favors Gemini 4 Argon (batch).
| Workload shape | Token mix | Better pick | Gemini 4 Argon (batch) | DeepSeek Pro Latest |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek Pro Latest | $7.5 | $5.12 |
| Balanced workload | 1M input + 1M output | Gemini 4 Argon (batch) | $6 | $8.22 |
| Output-heavy chatbot | 1M input + 5M output | Gemini 4 Argon (batch) | $26 | $40.23 |
Gemini 4 Argon (batch) is $3 cheaper per 1M output tokens (37.5% lower; 1.6x difference).
Both models report the same context window at 1.05M tokens.
Gemini 4 Argon (batch) is $0.72 cheaper on the standard workload (17.2% 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
DeepSeek Pro Latest has the lower input price; Gemini 4 Argon (batch) has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Gemini 4 Argon (batch) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $3.5 for Gemini 4 Argon (batch) and $4.22 for DeepSeek Pro Latest.
Choose Gemini 4 Argon (batch) when you care most about lower output-token price.
Choose DeepSeek Pro Latest when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, Gemini 4 Argon (batch) is estimated at $3.5 vs $4.22 for DeepSeek Pro Latest, saving $0.72 (17.2% lower).
- Gemini 4 Argon (batch) is $0.72 cheaper on the standard workload (17.2% lower).
- DeepSeek Pro Latest is $0.78 cheaper per 1M input tokens (77.5% lower; 4.44x difference).
- Gemini 4 Argon (batch) is $3 cheaper per 1M output tokens (37.5% lower; 1.6x difference).
- Both models report the same context window at 1.05M tokens.
| Feature | NewGemini 4 Argon (batch) (Google) | DeepSeek Pro Latest (DeepSeek) |
|---|---|---|
| Input Price prompt tokens per 1M | $1 | $0.225 |
| Completion Price per 1M tokens | $5 | $8 |
| Sample Workload Cost 1M input + 500K output | $3.5 | $4.22 |
| Context Window | 1.05M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Gemini 4 Argon (batch) | On the standard 1M input plus 500K output workload, Gemini 4 Argon (batch) is estimated at $3.5 vs $4.22 for DeepSeek Pro Latest, saving $0.72 (17.2% lower). |
| High-volume input processing | DeepSeek Pro Latest | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Gemini 4 Argon (batch) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Gemma 4 26B A4B (free) can replace Gemini 4 Argon (batch) when lower sample workload cost matters most: $0.
- Gemma 4 31B (free) can replace Gemini 4 Argon (batch) when lower sample workload cost matters most: $0.
- Lyria 3 Pro Preview can replace Gemini 4 Argon (batch) when lower sample workload cost matters most: $0.
- Lyria 3 Clip Preview can replace Gemini 4 Argon (batch) when lower sample workload cost matters most: $0.
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- Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
- MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
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- GLM 5.3 Flash · Z.ai · #3
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Cheaper alternatives
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Open DeepSeek modelsGemini 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...
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