---
title: "Cheaper alternatives to Llama 3.2 1B Instruct · Undominated.ai"
canonical: https://undominated.ai/alternatives/meta-llama__llama-3.2-1b-instruct/
description: "10 models score at least as high as Llama 3.2 1B Instruct and cost no more on a balanced workload. 6 give up nothing measurable; the other 4 name what they drop. Measured prices and independent scores."
---

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

> 10 models score at least as high as Llama 3.2 1B Instruct and cost no more on a balanced workload. 6 give up nothing measurable; the other 4 name what they drop. Measured prices and independent scores.

# Cheaper alternatives to Llama 3.2 1B Instruct

Meta · LMArena 1054.8 · $0.070/M on a balanced workload · prices as of 2026-08-28

## 6 models are both better and cheaper, giving up nothing.

Of the 133 models carrying both an independent score and a published price at the same delivery mode, **10** score at least as high as Llama 3.2 1B Instruct and cost no more under at least one workload. **6** match or beat it on every capability we hold — context, maximum output, input modes, tool use and extended reasoning. **4** do not, and every row names what it drops.

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 from that comparison and nothing else. When no model is both better and cheaper than Llama 3.2 1B Instruct, it is not generated.

## Where it holds

| Workload | Llama 3.2 1B Instruct $/M | Better and cheaper | With a trade |
| --- | --- | --- | --- |
| Balanced | $0.070 | 5 | 2 |
| Summarise | $0.036 | 2 | 0 |
| Chat | $0.097 | 6 | 3 |
| Code gen | $0.131 | 6 | 4 |
| Agentic | $0.053 | 3 | 0 |

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 | 1054.8 |
| --- | --- |
| Context window | 60K |
| Max output | 54K |
| Input modes | text |
| Tool use | no |
| Extended reasoning | no |

A replacement has to clear every line above, not just the score. [Full record for Llama 3.2 1B Instruct](/models/meta-llama__llama-3.2-1b-instruct/).

## Better and cheaper, nothing given up 6

Each of these matches or beats Llama 3.2 1B Instruct on context, maximum output, input modes, tool use and reasoning, scores at least as high, and costs no more.

| # | Model | Intelligence | $/M | Holds under |
| --- | --- | --- | --- | --- |
| 1 | Solar Pro 4 Upstage | 1376.2 +321.4 | $0.052 | Balanced −26% Summarise −22% Chat −39% Code gen −38% Agentic −45% |
| 2 | gpt-oss-120b OpenAI | 1365.6 +310.8 | $0.070 | Balanced under 1% less Chat −7% Code gen −11% |
| 3 | Granite 4.1 8B IBM | 1291.6 +236.8 | $0.063 | Balanced −11% Chat −28% Code gen −39% |
| 4 | gpt-oss-20b OpenAI | 1287.8 +233 | $0.055 | Balanced −22% Summarise −2% Chat −28% Code gen −32% Agentic −15% |
| 5 | Llama 3.1 8B Instruct Meta | 1186.7 +131.9 | $0.058 | Balanced −18% Chat −44% Code gen −50% Agentic −25% |
| 6 | DeepSeek V4 Flash 0423 DeepSeek | 1431.6 +376.8 | $0.094 chat | Chat −3% Code gen −5% |

## Cheaper and higher-scoring, but you give something up 4

These score at least as high and cost no more on the two plotted axes, and lose something that is not on them. Read the last column before switching.

| Model | Intelligence | $/M | Holds under | What you give up |
| --- | --- | --- | --- | --- |
| Gemma 3 4B Google | 1290.8 +236 | $0.063 | Balanced −11% Chat −28% Code gen −39% | 54K → 16K max output |
| Mistral Small 3 Mistral | 1233.6 +178.8 | $0.058 | Balanced −18% Chat −36% Code gen −48% | 60K → 33K context 54K → 16K max output |
| Gemma 3 12B Google | 1334.2 +279.4 | $0.090 chat | Chat −7% Code gen −16% | 54K → 16K max output |
| Phi 4 Microsoft | 1216.8 +162 | $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 ±10.68 points, so a gap smaller than that is marked *tie* rather than an improvement — see [significance bands](/significance/).
 - 188 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.
 - The models that nothing beats on both axes are on the [value frontier](/frontier/), and every other model something cheaper beats is [listed here](/alternatives/).