Gemini 4 Argon — Specifications
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Developer | Google DeepMind |
|---|---|
| Type | Reasoning / agentic |
| Modality | Text, vision, video |
| Parameters | Undisclosed |
| Max output | 1M |
| License | Proprietary |
| Open weights | No |
| Released | 2026-09 |
| Input price | $2.00 /1M |
| Output price | $10.00 /1M |
| API providers | Google (limited access: Fairwind Program; paid API customers first) |
Benchmarks
| Google-reported | DeepSWE v1.1 77.9%; AutomationBench 51.3% (#1); LVBench 91.7%; CWE-bench v1 68% (tied first). Prices are introductory; $4 / $20 per 1M afterwards. |
|---|
What is Gemini 4 Argon?
Gemini 4 Argon is Google DeepMind’s frontier model, announced on 30 September 2026 as the first model of the Gemini 4 generation. According to Google, it is built for long, multi-step work in software engineering, enterprise knowledge work such as law and finance, and cybersecurity defence, and its output limit rises to 1 million tokens from 64,000.
At announcement it was available only to trusted cyber defenders through the Fairwind Program; Google says wider access starts with paid API customers and Google AI Ultra subscribers, with no date given. The introductory API price is $2 per million input tokens and $10 output (cached input 95% off), rising to $4 / $20 after the introductory period. A plain-language guide: Gemini 4 Argon explained.
Gemini 4 Argon pricing: API cost per 1M tokens
| Input (per 1M tokens) | $2.00 |
|---|---|
| Output (per 1M tokens) | $10.00 |
| Output/input ratio | 5× |
| Blended (4:1 in:out) | $3.60 per 1M tokens |
What Gemini 4 Argon costs per month
Real monthly spend at a 4:1 input-to-output mix — the ratio a typical chat or RAG workload actually produces.
| Workload | Tokens / month | Cost / month |
|---|---|---|
| Side project | 1M in / 0.25M out | $4.50 |
| Small team | 20M in / 5M out | $90 |
| Production | 200M in / 50M out | $900 |
Run your own numbers in the AI API cost calculator.
Cheaper alternatives to Gemini 4 Argon
| Model | Blended $/1M | You save |
|---|---|---|
| Mistral 7B open | $0.0220 | 99% cheaper |
| Llama 3.1 8B open | $0.0220 | 99% cheaper |
| Mistral NeMo 12B open | $0.0240 | 99% cheaper |
Frequently asked questions
How much does Gemini 4 Argon cost per 1M tokens?
Gemini 4 Argon costs $2.00 per 1M input tokens and $10.00 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $3.60 per 1M tokens.
How much does Gemini 4 Argon cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $90 on Gemini 4 Argon. A side project (1M in / 0.25M out) costs roughly $4.50.
What is a cheaper alternative to Gemini 4 Argon?
Mistral 7B is the strongest cheaper option in our database at $0.0220 per 1M blended — about 99% less than Gemini 4 Argon. It is also open-weight, so self-hosting is an option.
Can I run Gemini 4 Argon locally?
No. Gemini 4 Argon is a closed, API-only model — the weights are not released, so it cannot be self-hosted.
Why does Gemini 4 Argon charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. Gemini 4 Argon charges 5× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
Prices are the published list rates for the model's primary API and are reviewed as providers change them. Volume, batch and cached-input discounts are not included. Compare every model side by side in the AI models database or the LLM leaderboard.