---
title: "Google: Gemini 4 Argon (batch) — unrated, priced in this catalogue · Undominated.ai"
canonical: https://undominated.ai/models/google__gemini-4-argon__batch/
description: "Google: Gemini 4 Argon (batch): $1.00/M in, $5.00/M out. This listing carries no LMArena score of its own; Gemini 4 Argon, the same model's standard listing, has one."
---

# Google: Gemini 4 Argon (batch) — unrated, priced in this catalogue · Undominated.ai

> Google: Gemini 4 Argon (batch): $1.00/M in, $5.00/M out. This listing carries no LMArena score of its own; Gemini 4 Argon, the same model's standard listing, has one.

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MODEL PROOF

# Gemini 4 Argon (batch)

Google · 13 Oct 2026

 Balanced Summarise Chat Code gen Agentic

NO LMARENA GENERAL SCORE

## No LMArena general score is attached to this listing.

 **$2.00** / 1M tokens Balanced · 3 tokens in per 1 out

Reasoning tokens are billed separately.

Evidence as of 21 Oct 2026

 [openrouter/models](https://openrouter.ai/api/v1/models) Independent LMArena score No LMArena general score
 Context window 1.05M
 Maximum output 943.72K
 Input modalities audio, file, image, text, video
 Output modalities text
 Published input price $1.00 / 1M tokens
 Published output price $5.00 / 1M tokens
 Pricing kind fixed

Inspect [complete billing conditions](#billing-details) and endpoint terms below.

 Every price dimension · USD per million tokens

| Input | $1.00 /M |
| --- | --- |
| Output | $5.00 /M |
| Cached input | $0.050 /M |
| Cache write | $0.188 /M |
| Cache write 1h | Unknown /M |
| Reasoning | $5.00 /M |
| Web search | $0.014 /call |

**Reasoning tokens are billed separately** at $5.00/M, on top of output. Its share of your bill depends on the reasoning tokens used.

### Independent scores

No independent benchmark has measured this model. Unrated is not a score of zero.

#### Best rankings by task

 - Game development #6 1376
- Websites #7 1315
- Data visualisation #7 1337
- 3D #7 1389
- Code categories #9 1328
- Spreadsheet #9 1147
- UI components #10 1331

Per-task Elo and rank from [Design Arena](https://designarena.ai), via OpenRouter’s model feed. The rank is the feed’s, and it counts models OpenRouter does not list.

### Capability

| Context window | 1M |
| --- | --- |
| Max output | 943K |
| Input modes | audio, file, image, text, video |
| Tool use | yes |
| Reasoning | always on |
| Open weights | no |

### Provenance

| Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) |
| --- | --- |
| Fetched | 2026-10-21 |
| Quality data | unrated |

Gemini 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...

## Questions this page answers

 What does Gemini 4 Argon (batch) cost?

$1.00/M in, $5.00/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

 Does Gemini 4 Argon (batch) have an independent quality score?

Gemini 4 Argon (batch) carries no LMArena score of its own; Gemini 4 Argon, the same model's standard listing, has an LMArena general score.

 What beats Gemini 4 Argon (batch)?

Gemini 4 Argon (batch) carries no LMArena score of its own and is not compared here; Gemini 4 Argon, the same model's standard listing, has one.

 Does this page use Artificial Analysis scores for Gemini 4 Argon (batch)?

No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated.

 Does a missing score mean Gemini 4 Argon (batch) scored zero?

Unrated is not a score of zero.

MODEL MONUMENT

## Save or share this proof

 Download proof card · 1200 × 630 Preview and more sharing options

Google: Gemini 4 Argon (batch). Balanced workload. Not rated on the LMArena general board. Evidence as of 21 Oct 2026.

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## Related

No LMArena general score, so there is no dominator to name. Unrated is not a clean bill of health.

 - Same vendor [Gemini 2.5 Flash Lite (batch)](/models/google__gemini-2.5-flash-lite__batch/)
- Google models [Google](/providers/google/)
- Where this model appears [effort](/effort/)
- Same vendor [Gemini 3 Flash Preview (batch)](/models/google__gemini-3-flash-preview__batch/)
- Where this model appears [traps](/traps/)
- Same vendor [Gemini 3.1 Flash Lite (batch)](/models/google__gemini-3.1-flash-lite__batch/)
- Where this model appears [subscription vs API](/plans/)

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