---
title: "Compare alternatives to Llama 3.2 1B Instruct · Undominated.ai"
canonical: https://undominated.ai/alternatives/meta-llama__llama-3.2-1b-instruct/
description: "8 alternatives score at least as high as Llama 3.2 1B Instruct and cost no more under at least one listed workload. 3 preserve recorded capabilities; 5 have named trade-offs."
---

# Compare alternatives to Llama 3.2 1B Instruct · Undominated.ai

> 8 alternatives score at least as high as Llama 3.2 1B Instruct and cost no more under at least one listed workload. 3 preserve recorded capabilities; 5 have named trade-offs.

# Alternatives to Llama 3.2 1B Instruct

Meta · LMArena 1054.6 · $0.071/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.

## 3 models are higher-scoring or cheaper, with neither dimension worse.

Of the 144 models carrying both an independent score and a published price at the same delivery mode, **8** score at least as high as Llama 3.2 1B Instruct and cost no more under at least one listed workload, with at least one of those dimensions improved. **3** match or beat its recorded context, maximum output, input modes, tool use and extended reasoning. **5** 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 | Llama 3.2 1B Instruct $/M | Recorded capabilities preserved | Recorded capability losses |
| --- | --- | --- | --- |
| Balanced | $0.071 | 2 | 3 |
| Summarise | $0.036 | 1 | 1 |
| Chat | $0.097 | 2 | 4 |
| Code gen | $0.131 | 3 | 5 |
| Agentic | $0.053 | 2 | 1 |

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 | 1054.6 |
| --- | --- |
| Context window | 60K |
| Max output | 54K |
| Input modes | text |
| Tool use | no |
| Extended reasoning | no |

Preserving recorded capabilities requires matching or beating these fields. [Full record for Llama 3.2 1B Instruct](/models/meta-llama__llama-3.2-1b-instruct/), or [check Llama 3.2 1B Instruct against the whole catalogue](/check/meta-llama__llama-3.2-1b-instruct/).

## Recorded capabilities preserved 3

Each option has a higher score or a lower price, with neither dimension worse under the listed workloads. It matches or beats Llama 3.2 1B Instruct on recorded context, maximum output, input modes, tool use and extended reasoning.

| # | Model | Intelligence | $/M | Holds under |
| --- | --- | --- | --- | --- |
| 1 | [gpt-oss-120b](/models/openai__gpt-oss-120b/) OpenAI | 1365.4 +310.8 | $0.065 | Balanced −8% Chat −11% Code gen −13% Agentic −4% |
| 2 | [Llama 3.1 8B Instruct](/models/meta-llama__llama-3.1-8b-instruct/) Meta | 1186.5 +131.9 | $0.025 | Balanced −65% Summarise −41% Chat −71% Code gen −76% Agentic −57% |
| 3 | [Gemma 3 27B](/models/google__gemma-3-27b-it/) Google | 1357.8 +303.2 | $0.128 code gen | Code gen −3% |

## Alternatives with recorded capability losses 5

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 |
| --- | --- | --- | --- | --- |
| [gpt-oss-20b](/models/openai__gpt-oss-20b/) OpenAI | 1287.7 +233.1 | $0.036 | Balanced −49% Summarise −47% Chat −54% Code gen −54% Agentic −56% | 54K → 33K max output |
| [Gemma 3 4B](/models/google__gemma-3-4b-it/) Google | 1290.8 +236.2 | $0.063 | Balanced −11% Chat −28% Code gen −39% | 54K → 16K max output |
| [Mistral Small 3](/models/mistralai__mistral-small-24b-instruct-2501/) Mistral | 1233.6 +179 | $0.058 | Balanced −18% Chat −36% Code gen −48% | 60K → 33K context 54K → 16K max output |
| [Gemma 3 12B](/models/google__gemma-3-12b-it/) Google | 1334.2 +279.6 | $0.090 chat | Chat −7% Code gen −16% | 54K → 16K max output |
| [Phi 4](/models/microsoft__phi-4/) Microsoft | 1216.7 +162.1 | $0.112 code gen | Code gen −15% | 60K → 16K context 54K → 15K max output |

## 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/)