Model comparison - Open weights vs closed
DeepSeek V4 Pro vs Gemini 4 Argon
DeepSeek V4 Pro is from DeepSeek and Gemini 4 Argon is from Google. On list price, Gemini 4 Argon charges 1.5x DeepSeek V4 Pro's input price ($2 vs $1.32 per 1M tokens), and Gemini 4 Argon charges 2.5x DeepSeek V4 Pro's output price ($10 vs $3.96 per 1M tokens). DeepSeek V4 Pro has a 1,000,000-token context window and Gemini 4 Argon 1,048,576 tokens; max output is 393,216 and 65,536 tokens per response. DeepSeek V4 Pro was released on April 24, 2026 and Gemini 4 Argon on October 13, 2026. DeepSeek V4 Pro publishes open weights (MIT); Gemini 4 Argon is closed-weights.
Last verified from each provider's pricing page. All sources
Side-by-side specs
| Spec | DeepSeek V4 Pro | Gemini 4 Argon |
|---|---|---|
| Provider | DeepSeek | |
| Input / 1M tokens | $1.32 | $2 |
| Output / 1M tokens | $3.96 | $10 |
| Cache read / 1M | $0.044 | $0.10 |
| Batch input / 1M | - | $1 |
| Batch output / 1M | - | $5 |
| Context window | 1,000,000 | 1,048,576 |
| Max output | 393,216 | 65,536 |
| Release date | ||
| Weights | Open | Closed |
| License | MIT | - |
| API model id | deepseek-v4-pro | gemini-4-argon |
| AI Gateway id | deepseek/deepseek-v4-pro | google/gemini-4-argon |
| Last verified |
Prices in USD per 1M tokens at each provider's standard first-party rate. A dash means the provider does not bill that item separately or no primary page states it.
What each costs in practice
The same three workloads every model page uses, worked from each model's standard list rates. Swap in your own token counts with the math on each model's page.
| Workload | DeepSeek V4 Pro | Gemini 4 Argon |
|---|---|---|
| One agent session1M input tokens and 100K output tokens, no caching. | $1.72 | $3.00 |
| A chat app10,000 requests a day at 2K input and 500 output tokens each. | $46.20$1,386.00 per 30-day month | $90.00$2,700.00 per 30-day month |
| The same session at a 90% cache hit90% of the input is read from the prompt cache. The one-time cache write premium is not included. | $0.5676 | $1.29 |
Show the math
DeepSeek V4 Pro
- One agent sessionInput: 1M x $1.32 = $1.32Output: 0.1M x $3.96 = $0.396
- A chat appInput: 20M x $1.32 = $26.40Output: 5M x $3.96 = $19.80
- The same session at a 90% cache hitCached input: 0.9M x $0.044 = $0.0396Uncached input: 0.1M x $1.32 = $0.132Output: 0.1M x $3.96 = $0.396
Gemini 4 Argon
- One agent sessionInput: 1M x $2 = $2.00Output: 0.1M x $10 = $1.00
- A chat appInput: 20M x $2 = $40.00Output: 5M x $10 = $50.00
- The same session at a 90% cache hitCached input: 0.9M x $0.10 = $0.09Uncached input: 0.1M x $2 = $0.20Output: 0.1M x $10 = $1.00
Benchmarks under the same setting
No board in the benchmark directory lists both DeepSeek V4 Pro and Gemini 4 Argon under the same setting, so there is no like-for-like score to show here.
Set them up in your tools
Step-by-step guides whose official docs list DeepSeek V4 Pro or Gemini 4 Argon by model id.
- Use DeepSeek in AiderLists DeepSeek V4 Pro
- Use DeepSeek in Claude CodeLists DeepSeek V4 Pro
- Use DeepSeek in ClineLists DeepSeek V4 Pro
- Use DeepSeek in Codex CLILists DeepSeek V4 Pro
- Use DeepSeek in ContinueLists DeepSeek V4 Pro
- Use DeepSeek in GitHub CopilotLists DeepSeek V4 Pro
- Use DeepSeek in GooseLists DeepSeek V4 Pro
- Use DeepSeek in Kilo CodeLists DeepSeek V4 Pro
- Use DeepSeek in OpenCodeLists DeepSeek V4 Pro
- Use DeepSeek in Roo CodeLists DeepSeek V4 Pro
- Use DeepSeek in ZedLists DeepSeek V4 Pro
- Use Gemini in ClineLists Gemini 4 Argon
- Use Gemini in ContinueLists Gemini 4 Argon
- Use Gemini in CursorLists Gemini 4 Argon
- Use Gemini in GooseLists Gemini 4 Argon
- Use Gemini in Kilo CodeLists Gemini 4 Argon
- Use Gemini in OpenCodeLists Gemini 4 Argon
- Use Gemini in ZedLists Gemini 4 Argon
Model pages
FAQ
How do DeepSeek V4 Pro and Gemini 4 Argon compare on price?
On list price, Gemini 4 Argon charges 1.5x DeepSeek V4 Pro's input price ($2 vs $1.32 per 1M tokens), and Gemini 4 Argon charges 2.5x DeepSeek V4 Pro's output price ($10 vs $3.96 per 1M tokens). For one agent session of 1M input and 100K output tokens with no caching, that is $1.72 on DeepSeek V4 Pro and $3.00 on Gemini 4 Argon. Prices are each provider's first-party list rates, verified October 17, 2026 and October 17, 2026.
What are the context windows of DeepSeek V4 Pro and Gemini 4 Argon?
DeepSeek V4 Pro has a 1,000,000-token context window and Gemini 4 Argon 1,048,576 tokens; max output is 393,216 and 65,536 tokens per response.
Are DeepSeek V4 Pro and Gemini 4 Argon open weights?
DeepSeek V4 Pro's weights are published at huggingface.co under the MIT. Gemini 4 Argon is closed-weights and is called through Google's API as gemini-4-argon.
More comparisons
- Gemini 4 Argon vs GPT-6.1 SolSimilar price, same tier
- DeepSeek V4 Pro vs Mistral Large 4Similar price, same tier
- Claude Sonnet 5.5 vs Gemini 4 ArgonSimilar price, same tier
- DeepSeek V4 Pro vs GPT-6.1 SolOpen weights vs closed
- Claude Opus 5.5 vs Gemini 4 ArgonSimilar price, same tier
- Claude Sonnet 5.5 vs DeepSeek V4 ProOpen weights vs closed
- Gemini 4 Argon vs Grok 4.7Similar price, same tier
- Claude Opus 5.5 vs DeepSeek V4 ProOpen weights vs closed
Sources
DeepSeek V4 Pro verified from api-docs.deepseek.com; Gemini 4 Argon verified from ai.google.dev. This page is as current as the older of the two: .
- https://api-docs.deepseek.com/quick_start/pricing
- https://ai.google.dev/gemini-api/docs/pricing
- https://api-docs.deepseek.com/updates
- https://api-docs.deepseek.com/news/news260424
- https://api-docs.deepseek.com/news/news260813
- https://api-docs.deepseek.com/news/news260910
- https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro
- https://vercel.com/ai-gateway/models/deepseek-v4-pro
- https://ai.google.dev/gemini-api/docs/models/gemini-4-argon
- https://ai.google.dev/gemini-api/docs/latest-model
- https://ai.google.dev/gemini-api/docs/changelog
- https://ai.google.dev/gemini-api/docs/models
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