---
title: "Compare alternatives to Gemini 3.1 Flash Lite Preview · Undominated.ai"
canonical: https://undominated.ai/alternatives/google__gemini-3.1-flash-lite-preview/
description: "21 alternatives score at least as high as Gemini 3.1 Flash Lite Preview and cost no more under at least one listed workload. 0 preserve recorded capabilities; 21 have named trade-offs."
---

# Compare alternatives to Gemini 3.1 Flash Lite Preview · Undominated.ai

> 21 alternatives score at least as high as Gemini 3.1 Flash Lite Preview and cost no more under at least one listed workload. 0 preserve recorded capabilities; 21 have named trade-offs.

# Alternatives to Gemini 3.1 Flash Lite Preview

Google · LMArena 1415.7 · $0.563/M on a balanced workload · prices as of 2026-10-06

 [Compare models](https://undominated.ai/compare/) Comparison context

Choose up to three standard models in Compare.

Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls.

## Every higher-scoring or cheaper alternative has a recorded capability loss.

Of the 144 models carrying both an independent score and a published price at the same delivery mode, **21** score at least as high as Gemini 3.1 Flash Lite Preview and cost no more under at least one listed workload, with at least one of those dimensions improved. **21** have a recorded capability loss, named on every row.

Dominance is not a property of a model. It is a property of a model, a capability lens and a workload, and all three are named on every row. Scores are LMArena Elo, used under CC BY 4.0 from the official dataset; prices are blended per million tokens. A higher score is not a drop-in replacement.

This page is built only while a candidate improves score or price without worsening the other under a listed workload. When that comparison no longer holds, it is not generated.

## Where it holds

| Workload | Gemini 3.1 Flash Lite Preview $/M | Recorded capabilities preserved | Recorded capability losses |
| --- | --- | --- | --- |
| Balanced | $0.563 | 0 | 21 |
| Summarise | $0.248 | 0 | 14 |
| Chat | $0.683 | 0 | 20 |
| Code gen | $0.982 | 0 | 20 |
| Agentic | $0.304 | 0 | 17 |

Workload mixes are defined on the [methodology page](/methodology/). Cached input is priced at the cached rate, and reasoning tokens at the worse of the reasoning and output rates.

## What you would be replacing

| Intelligence | 1415.7 |
| --- | --- |
| Context window | 1M |
| Max output | 65K |
| Input modes | text, image, video, file, audio |
| Tool use | yes |
| Extended reasoning | yes |

Preserving recorded capabilities requires matching or beating these fields. [Full record for Gemini 3.1 Flash Lite Preview](/models/google__gemini-3.1-flash-lite-preview/), or [check Gemini 3.1 Flash Lite Preview against the whole catalogue](/check/google__gemini-3.1-flash-lite-preview/).

## Alternatives with recorded capability losses 21

These improve score or price without worsening the other under the listed workloads, but reduce at least one recorded capability. Read the last column before switching.

| Model | Intelligence | $/M | Holds under | Recorded capability loss |
| --- | --- | --- | --- | --- |
| [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) Xiaomi | 1491 +75.3 | $0.540 | Balanced −4% Chat −30% Code gen −33% Agentic −20% | no file input |
| [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) Z.ai | 1469.6 +53.9 | $0.238 | Balanced −58% Summarise −46% Chat −63% Code gen −64% Agentic −57% | no file, audio input |
| [DeepSeek V4.1 Flash](/models/deepseek__deepseek-v4.1-flash/) DeepSeek | 1462.5 +46.8 | $0.182 | Balanced −68% Summarise −73% Chat −64% Code gen −63% Agentic −65% | no video, file, audio input |
| [MiMo-V2.5-Pro](/models/xiaomi__mimo-v2.5-pro/) Xiaomi | 1465 +49.3 | $0.544 | Balanced −3% Chat −30% Code gen −33% Agentic −20% | no image, video, file, audio input |
| [MiMo-V2.6-Flash](/models/xiaomi__mimo-v2.6-flash/) Xiaomi | 1456.4 +40.7 | $0.175 | Balanced −69% Summarise −57% Chat −77% Code gen −78% Agentic −74% | no file input |
| [Qwen3.7 Plus](/models/qwen__qwen3.7-plus/) Qwen | 1454.6 +38.9 | $0.560 | Balanced under 1% less Chat −8% Code gen −11% | 1M → 1M context no video, file, audio input |
| [Gemma 4 31B](/models/google__gemma-4-31b-it/) Google | 1443.4 +27.7 | $0.205 | Balanced −64% Summarise −38% Chat −64% Code gen −70% Agentic −41% | 1M → 262K context 66K → 16K max output no file, audio input |
| [Hy3](/models/tencent__hy3/) Tencent | 1440.7 +25 | $0.231 | Balanced −59% Summarise −50% Chat −62% Code gen −63% Agentic −56% | 1M → 262K context no image, video, file, audio input |
| [Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) Google | 1433.9 +18.2 | $0.127 | Balanced −77% Summarise −72% Chat −78% Code gen −79% Agentic −74% | 1M → 262K context no file, audio input |
| [Qwen3.8 27B](/models/qwen__qwen3.8-27b/) Qwen | 1440.7 +25 | $0.562 | Balanced under 1% less Summarise −26% | 1M → 1M context no file, audio input |
| [DeepSeek V4 Flash 0423](/models/deepseek__deepseek-v4-flash/) DeepSeek | 1432.1 +16.4 | $0.113 | Balanced −80% Summarise −70% Chat −85% Code gen −86% Agentic −80% | no image, video, file, audio input |
| [MiMo-V2.5](/models/xiaomi__mimo-v2.5/) Xiaomi | 1427.5 +11.8 | $0.175 | Balanced −69% Summarise −57% Chat −77% Code gen −78% Agentic −74% | no file input |
| [MiniMax M3](/models/minimax__minimax-m3/) MiniMax | 1432.1 +16.4 | $0.485 | Balanced −14% Chat −21% Code gen −23% Agentic −11% | no file, audio input |
| [GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) OpenAI | 1431 +15.3 | $0.450 | Balanced −20% Summarise −20% Chat −20% Code gen −20% Agentic −20% | no video, audio input |
| [DeepSeek V3.2](/models/deepseek__deepseek-v3.2/) DeepSeek | 1424.5 tie | $0.290 | Balanced −48% Summarise −8% Chat −61% Code gen −67% Agentic −34% | 1M → 164K context no image, video, file, audio input |
| [DeepSeek V3.2 Exp](/models/deepseek__deepseek-v3.2-exp/) DeepSeek | 1422.4 tie | $0.305 | Balanced −46% Chat −52% Code gen −64% Agentic −4% | 1M → 164K context no image, video, file, audio input |
| [Qwen3 235B A22B Instruct 2507](/models/qwen__qwen3-235b-a22b-2507/) Qwen | 1419.3 tie | $0.205 | Balanced −64% Summarise −55% Chat −60% Code gen −63% Agentic −48% | 1M → 262K context 66K → 16K max output no image, video, file, audio input no extended reasoning |
| [Qwen3 VL 235B A22B Instruct](/models/qwen__qwen3-vl-235b-a22b-instruct/) Qwen | 1420.1 tie | $0.370 | Balanced −34% Summarise −16% Chat −35% Code gen −39% Agentic −18% | 1M → 262K context 66K → 33K max output no video, file, audio input no extended reasoning |
| [Qwen3 Next 80B A3B Instruct](/models/qwen__qwen3-next-80b-a3b-instruct/) Qwen | 1417.3 tie | $0.268 | Balanced −52% Summarise −47% Chat −46% Code gen −48% Agentic −34% | 1M → 262K context no image, video, file, audio input no extended reasoning |
| [DeepSeek V3.1](/models/deepseek__deepseek-chat-v3.1/) DeepSeek | 1419.7 tie | $0.453 | Balanced −20% Chat −18% Code gen −28% | 1M → 164K context 66K → 33K max output no image, video, file, audio input |
| [DeepSeek V3.1 Terminus](/models/deepseek__deepseek-v3.1-terminus/) DeepSeek | 1417.1 tie | $0.453 | Balanced −20% Chat −18% Code gen −28% | 1M → 164K context no image, video, file, audio input |

## What this compares, and what it leaves out

 - Quality is LMArena Elo, used under CC BY 4.0 from the official dataset. The 95% confidence interval on a difference between two scores is about ±10.47 points, so a gap smaller than that is marked *tie* rather than an improvement — see [significance bands](/significance/).
 - 204 further models at this delivery mode carry a price but no independent score. They are absent from the comparison in both directions — unrated is not a zero, and an unmeasured model is neither an alternative nor a worse buy.
 - Retired models are never offered as an alternative, and a model only competes against its own delivery mode: batch trades latency for price, so it is not a like-for-like swap.
 - Nothing here measures latency, throughput, rate limits or how a model behaves on your prompts. Two models with the same index score are not interchangeable.
 - Models with no higher-scoring or cheaper alternative that is no worse on the other axis are on the [value frontier](/frontier/). Models with such an alternative are [listed here](/alternatives/).

## Continue your investigation

 - [Check requirements](/check/)
- [Compare exact differences](/compare/)
- [Set a quality floor](/cheapest-at/)
- [Inspect tier boundaries](/cliffs/)