---
title: "Google: Gemini 3.1 Flash Lite — unrated, priced in this catalogue · Undominated.ai"
canonical: https://undominated.ai/models/google__gemini-3.1-flash-lite/
description: "Google: Gemini 3.1 Flash Lite: $0.250/M in, $1.50/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero."
---

# Google: Gemini 3.1 Flash Lite — unrated, priced in this catalogue · Undominated.ai

> Google: Gemini 3.1 Flash Lite: $0.250/M in, $1.50/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero.

[Check base rates for this workload](/check/google__gemini-3.1-flash-lite/) [Cheaper alternatives](/alternatives/) [Family](/families/gemini-3/) [Compare models](https://undominated.ai/compare/?models=google%2Fgemini-3.1-flash-lite) Comparison context

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MODEL PROOF

# Gemini 3.1 Flash Lite

Google · 07 May 2026 · proprietary

 Balanced Summarise Chat Code gen Agentic

NOT INDEPENDENTLY RATED

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

 **$0.563** / 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) [Vendor cross-check](https://ai.google.dev/gemini-api/docs/pricing) 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 $0.250 / 1M tokens
 Published output price $1.50 / 1M tokens
 Pricing kind fixed

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

Price from Google: the cheapest offer that is serving, at standard delivery and at the maker’s precision or better, at its standard rate.

Cheaper right now: $0.281/M at Google — delivery tier (flex) It does not pass the like-for-like test, so it never sets a rank.

 Every price dimension · USD per million tokens

| Input | $0.250 /M |
| --- | --- |
| Output | $1.50 /M |
| Cached input | $0.025 /M |
| Cache write | $0.083 /M |
| Cache write 1h | Unknown /M |
| Reasoning | $1.50 /M |
| Web search | $0.014 /call |
| Batch discount | 50% |

**Reasoning tokens are billed separately** at $1.50/M, on top of output. Its share of your bill depends on the reasoning tokens used.

### Who sells it

The same weights, different shops. Cheapest is not like-for-like when serving precision differs.

 8 provider offers · rates, limits and conditions

Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test.

| Seller | Input | Output | Precision | Uptime (1d) |
| --- | --- | --- | --- | --- |
| Seller Google google-vertex/global/flex Endpoint terms Cached input /M $0.013 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.99% | Input $0.125 | Output $0.750 | Precision undeclared | Uptime (1d) 99.98% |
| Seller Google AI Studio google-ai-studio/flex Endpoint terms Cached input /M $0.013 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.125 | Output $0.750 | Precision undeclared | Uptime (1d) 99.99% |
| Seller Google AI Studio google-ai-studio Endpoint terms Cached input /M $0.025 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.90% | Input $0.250 | Output $1.50 | Precision undeclared | Uptime (1d) 99.88% |
| Seller Google google-vertex/global Endpoint terms Cached input /M $0.025 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.87% | Input $0.250 | Output $1.50 | Precision undeclared | Uptime (1d) 99.76% |
| Seller Google google-vertex/eu Endpoint terms Cached input /M $0.028 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.275 | Output $1.65 | Precision undeclared | Uptime (1d) 100.00% |
| Seller Google google-vertex/us Endpoint terms Cached input /M $0.028 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.275 | Output $1.65 | Precision undeclared | Uptime (1d) 100.00% |
| Seller Google google-vertex/global/priority Endpoint terms Cached input /M $0.045 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.450 | Output $2.70 | Precision undeclared | Uptime (1d) 100.00% |
| Seller Google AI Studio google-ai-studio/priority Endpoint terms Cached input /M $0.045 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.59% | Input $0.450 | Output $2.70 | Precision undeclared | Uptime (1d) 99.92% |

### Independent scores

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

### Capability

| Context window | 1M |
| --- | --- |
| Max output | 65K |
| Input modes | text, image, video, file, audio |
| Tool use | yes |
| Reasoning | optional |
| Open weights | no |

### Provenance

| Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) |
| --- | --- |
| Fetched | 2026-10-06 |
| Quality data | unrated |
| Cross-checked | [vendor page](https://ai.google.dev/gemini-api/docs/pricing) |

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...

## Questions this page answers

 What does Gemini 3.1 Flash Lite cost?

$0.250/M in, $1.50/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

 Does Gemini 3.1 Flash Lite have an independent quality score?

Gemini 3.1 Flash Lite has no independent quality score in this catalogue. Unrated is not a score of zero.

 What beats Gemini 3.1 Flash Lite?

Gemini 3.1 Flash Lite has no independent quality score. Unrated is not a score of zero.

 Does this page use Artificial Analysis scores for Gemini 3.1 Flash Lite?

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 3.1 Flash Lite 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 3.1 Flash Lite. 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 3.8 Flash](/models/google__gemini-3.8-flash/)
- Google models [Google](/providers/google/)
- Where this model appears [traps](/traps/)
- Same vendor [Gemini 3.7 Flash](/models/google__gemini-3.7-flash/)
- Where this model appears [subscription vs API](/plans/)
- Same vendor [Gemini 3.1 Pro Preview](/models/google__gemini-3.1-pro-preview/)

## Badge

The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not.

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Direct file: [https://undominated.ai/badge/google__gemini-3.1-flash-lite.svg](https://undominated.ai/badge/google__gemini-3.1-flash-lite.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy.

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