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Gemini 4 Argon (batch)
Scores reviewed 2026-10-18Prices checked 2026-10-25- Google Batch API
- gemini-4-argon
- OpenRouter
- google/gemini-4-argon:batch
- Context
- 1.05M
- Price per 1M
- $1 in / $5 out
- Tooling
- 4/5
- Deploy
- Cloud API
Monthly cost, worked example
| Input | 667,000 tokens × $1 per 1M | $0.67 |
|---|---|---|
| Output | 333,500 tokens × $5 per 1M | $1.67 |
| Total | ~$2.33/mo |
667 requests a month at 1,000 input and 500 output tokens each, about 1M tokens. The recommender uses the same assumption when you don't give your own usage.
Best for
- Agentic workflows and tool calling
- Writing and editing code
- Complex reasoning and analysis
- Long documents (~1.05M context)
Skip if
- You need open weights to self-host
Capability scores
Tool calling4/5
Tooling (1-5): how reliably the model calls tools and follows multi-step instructions. Editorial score from LMFinder, not a benchmark.
Multi-step reasoning5/5
Specifications
- Context window
- 1.05M tokens
- VRAM
- N/A (cloud-hosted)
- License
- proprietary
- Pricing
- $1 in / $5 out per 1M
- Deployment
- Cloud API
- Docs
- Model docs ↗
Our take
Gemini 4 Argon (batch) from Google offers a 1.05M-token context window and is well-suited to strong tool calling, multi-step reasoning, coding, long-context work. Pricing is $1 in / $5 out per 1M, billed per token through the provider API.
Watch for the trade-offs: weights are closed, so you cannot self-host.
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