---
title: "Google: Gemini 3.5 Flash (batch) — unrated, priced in this catalogue · Undominated.ai"
canonical: https://undominated.ai/models/google__gemini-3.5-flash__batch/
description: "Google: Gemini 3.5 Flash (batch): $0.750/M in, $4.50/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero."
---

# Google: Gemini 3.5 Flash (batch) — unrated, priced in this catalogue · Undominated.ai

> Google: Gemini 3.5 Flash (batch): $0.750/M in, $4.50/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero.

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MODEL PROOF

# Gemini 3.5 Flash (batch)

Google · 19 May 2026 · proprietary

 Balanced Summarise Chat Code gen Agentic

NOT INDEPENDENTLY RATED

## No independent LMArena score is published for this model.

 **$1.69** / 1M tokens Balanced · 3 tokens in per 1 out

Reasoning tokens are billed separately.

Evidence as of 06 Oct 2026

 [openrouter/models](https://openrouter.ai/api/v1/models) Independent LMArena score Not independently rated
 Context window 1.05M
 Maximum output 65.54K
 Input modalities text, image, video, file, audio
 Output modalities text
 Published input price $0.750 / 1M tokens
 Published output price $4.50 / 1M tokens
 Pricing kind fixed

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

 Every price dimension · USD per million tokens

| Input | $0.750 /M |
| --- | --- |
| Output | $4.50 /M |
| Cached input | $0.075 /M |
| Cache write | Unknown /M |
| Cache write 1h | Unknown /M |
| Reasoning | $4.50 /M |
| Web search | $0.014 /call |

**Reasoning tokens are billed separately** at $4.50/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

 - Agenticslides(python pptx) #2 1242
- Pptxslides #2 1244
- Agenticslides #3 1244
- Agentichtmlslides #6 1162
- Agenticslides(html) #6 1162
- Python pptxslides #9 1247
- Agenticgamedev #12 1180
- SVG #13 1254

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 | 65K |
| Input modes | text, image, video, file, audio |
| Tool use | yes |
| Reasoning | always on |
| Knowledge cutoff | 2025-01-01 |
| Open weights | no |

### Provenance

| Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) |
| --- | --- |
| Fetched | 2026-10-06 |
| Quality data | unrated |

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

## Questions this page answers

 What does Gemini 3.5 Flash (batch) cost?

$0.750/M in, $4.50/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

 Does Gemini 3.5 Flash (batch) have an independent quality score?

Gemini 3.5 Flash (batch) has no independent quality score in this catalogue. Unrated is not a score of zero.

 What beats Gemini 3.5 Flash (batch)?

Gemini 3.5 Flash (batch) has no independent quality score. Unrated is not a score of zero.

 Does this page use Artificial Analysis scores for Gemini 3.5 Flash (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 3.5 Flash (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 3.5 Flash (batch). Balanced workload. Not independently rated. Evidence as of 06 Oct 2026.

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## Related

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

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

## Continue your investigation

 - [Explore model families](/families/)
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