---
title: "Google: Gemini 3.8 Flash (batch) — unrated, priced in this catalogue · Undominated.ai"
canonical: https://undominated.ai/models/google__gemini-3.8-flash__batch/
description: "Google: Gemini 3.8 Flash (batch): $0.375/M in, $1.88/M out. This listing carries no LMArena score of its own; Gemini 3.8 Flash, the same model's standard listing, has one."
---

# Google: Gemini 3.8 Flash (batch) — unrated, priced in this catalogue · Undominated.ai

> Google: Gemini 3.8 Flash (batch): $0.375/M in, $1.88/M out. This listing carries no LMArena score of its own; Gemini 3.8 Flash, the same model's standard listing, has one.

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MODEL PROOF

# Gemini 3.8 Flash (batch)

Google · 02 Sept 2026

 Balanced Summarise Chat Code gen Agentic

NO LMARENA GENERAL SCORE

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

 **$0.750** / 1M tokens Balanced · 3 tokens in per 1 out

Reasoning tokens are billed separately.

Evidence as of 05 Nov 2026

 [openrouter/models](https://openrouter.ai/api/v1/models) Independent LMArena score No LMArena general score
 Context window 1.05M
 Maximum output 65.54K
 Input modalities text, image, video, file, audio
 Output modalities text
 Published input price $0.375 / 1M tokens
 Published output price $1.88 / 1M tokens
 Pricing kind fixed

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

 Every price dimension · USD per million tokens

| Input | $0.375 /M |
| --- | --- |
| Output | $1.88 /M |
| Cached input | $0.038 /M |
| Cache write | $0.042 /M |
| Cache write 1h | Unknown /M |
| Reasoning | $1.88 /M |
| Web search | $0.014 /call |

**Reasoning tokens are billed separately** at $1.88/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

 - Godot games #5 1273
- Blender3d #6 1193
- SVG #10 1293
- Mobile apps #10 1232
- Full-stack apps #11 1238
- ASCII art #12 1272
- Websites #15 1300
- Code categories #15 1302

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 |
| Open weights | no |

### Provenance

| Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) |
| --- | --- |
| Fetched | 2026-11-05 |
| Quality data | unrated |

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

## Questions this page answers

 What does Gemini 3.8 Flash (batch) cost?

$0.375/M in, $1.88/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

 Does Gemini 3.8 Flash (batch) have an independent quality score?

Gemini 3.8 Flash (batch) carries no LMArena score of its own; Gemini 3.8 Flash, the same model's standard listing, has an LMArena general score.

 What beats Gemini 3.8 Flash (batch)?

Gemini 3.8 Flash (batch) carries no LMArena score of its own and is not compared here; Gemini 3.8 Flash, the same model's standard listing, has one.

 Does this page use Artificial Analysis scores for Gemini 3.8 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 3.8 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 3.8 Flash (batch). Balanced workload. Not rated on the LMArena general board. Evidence as of 05 Nov 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 3 Flash Preview (batch)](/models/google__gemini-3-flash-preview__batch/)
- Google models [Google](/providers/google/)
- Where this model appears [effort](/effort/)
- Same vendor [Gemini 3.1 Flash Lite (batch)](/models/google__gemini-3.1-flash-lite__batch/)
- Where this model appears [traps](/traps/)
- Same vendor [Gemini 3.1 Pro Preview (batch)](/models/google__gemini-3.1-pro-preview__batch/)
- Where this model appears [subscription vs API](/plans/)

## Continue your investigation

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