Best overall
Strong reasoning, tooling and production reliability.
Model · Google
Gemini 4 Argon
Gemini 4 Argon is served by Google through OpenRouter. It provides 1.05M tokens of context and supports text, vision, audio, video, files inputs.
Context window
1.05M tokens
Input / 1M tokens
$2.00
Output / 1M tokens
$10.00
Key facts
| Provider | |
| OpenRouter ID | google/gemini-4-argon |
| Modalities | Text, Vision, Audio, Video, Files |
| Best for | Overall, Coding, Agents, Multimodal |
Source
openrouter.ai/api/v1/models Verified 2026-10-16 Drift-checked daily 06:00 CST Best-fit workloads
Best for coding
Good code quality, debugging and technical explanation.
Best multimodal
Handles images, files, audio or video inputs.
Best for agents
Tool use, structured output and multi-step reasoning.
Cost estimates
These examples use the 2026-10-16 input and output prices. Cache discounts, provider surcharges and tool fees are excluded.
| Workload | Input | Output | Estimated cost |
|---|---|---|---|
| Quick test | 20,000 | 5,000 | $0.090 |
| Product chat month | 500,000 | 125,000 | $2.25 |
| Document batch | 5,000,000 | 1,000,000 | $20.00 |
Strengths
- ✓ Google's flagship tier at $2 / $10 per million — the same price as GPT-6.1 Sol and half of Claude Opus 5.5's
- ✓ Reads text, image, video, audio and files: the widest input set on the catalogue
- ✓ 1,048,576-token window with cached reads at a tenth of input
Limitations
- ! 65,536-token output ceiling — a twentieth of what Muse Wonder and DeepSeek allow
- ! Artificial Analysis scores it 53, level with GPT-6 Astra and below Claude Opus 5.5 at 58
- ! Text output only, despite the video and audio inputs
OpenRouter API quickstart
Run these examples from your server or edge function. Keep the OpenRouter API key private and do not expose it in browser code.
cURL
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemini-4-argon",
"messages": [{ "role": "user", "content": "Summarize this document in five bullet points." }],
"max_tokens": 500
}'JavaScript / TypeScript
const response = await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "google/gemini-4-argon",
messages: [{ role: "user", content: "Summarize this document in five bullet points." }],
max_tokens: 500,
}),
});
const data = await response.json();
console.log(data.choices[0].message.content);How to evaluate Gemini 4 Argon
- Run five real tasks from your product, not generic demo prompts.
- Record token usage, latency and output quality.
- Estimate cost using your real input/output mix.
- Compare it against one model with a similar price and one stronger model.
Compare models View on OpenRouter ↗
Gemini 4 Argon FAQ
What is Gemini 4 Argon?
Gemini 4 Argon is a Google model available through OpenRouter. It supports text, vision, audio, video, files inputs and is suited for overall, coding, agents, multimodal workloads.
How much does Gemini 4 Argon cost on OpenRouter?
The 2026-10-16 snapshot lists $2.00 per 1M input tokens and $10.00 per 1M output tokens. Verify current pricing on OpenRouter before production.
How large is Gemini 4 Argon's context window?
Gemini 4 Argon offers 1.05M tokens of context in the current snapshot. Provider-specific limits and surcharges may apply.
Head-to-head comparisons
Gemini 4 Argon vs GPT-6.1 Sol
When the price and the index agree, the tiebreak is what goes in and what comes out: Gemini 4 Argon is the one to call when the input is a recording or a screen recording, and it caps answers at 65,536 tokens. GPT-6.1 Sol is the safer pick for long agentic coding runs where the answer itself is long, and it is the row the OpenAI tooling ecosystem is built around.
Pricing and context data are based on a 2026-10-16 snapshot. Provider limits can change; always verify on OpenRouter before production.