---
title: "Cheaper alternatives to gpt-oss-20b · Undominated.ai"
canonical: https://undominated.ai/alternatives/openai__gpt-oss-20b/
description: "3 models score at least as high as gpt-oss-20b and cost no more on a balanced workload. 1 give up nothing measurable; the other 2 name what they drop. Measured prices and independent scores."
---

# Cheaper alternatives to gpt-oss-20b · Undominated.ai

> 3 models score at least as high as gpt-oss-20b and cost no more on a balanced workload. 1 give up nothing measurable; the other 2 name what they drop. Measured prices and independent scores.

# Cheaper alternatives to gpt-oss-20b

OpenAI · LMArena 1287.8 · $0.055/M on a balanced workload · prices as of 2026-08-28

## 1 model is 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, **3** score at least as high as gpt-oss-20b and cost no more under at least one workload. **1** matches or beats it on every capability we hold — context, maximum output, input modes, tool use and extended reasoning. **2** 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 gpt-oss-20b, it is not generated.

## Where it holds

| Workload | gpt-oss-20b $/M | Better and cheaper | With a trade |
| --- | --- | --- | --- |
| Balanced | $0.055 | 1 | 0 |
| Summarise | $0.035 | 1 | 0 |
| Chat | $0.070 | 1 | 2 |
| Code gen | $0.090 | 1 | 2 |
| Agentic | $0.045 | 1 | 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 | 1287.8 |
| --- | --- |
| Context window | 131K |
| Max output | 118K |
| Input modes | text |
| Tool use | yes |
| Extended reasoning | yes |

A replacement has to clear every line above, not just the score. [Full record for gpt-oss-20b](/models/openai__gpt-oss-20b/).

## Better and cheaper, nothing given up 1

Each of these matches or beats gpt-oss-20b 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 +88.4 | $0.052 | Balanced −5% Summarise −21% Chat −16% Code gen −9% Agentic −35% |

## Cheaper and higher-scoring, but you give something up 2

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 |
| --- | --- | --- | --- | --- |
| Granite 4.1 8B IBM | 1291.6 tie | $0.070 chat | Chat same price Code gen −11% | no extended reasoning |
| Gemma 3 4B Google | 1290.8 tie | $0.070 chat | Chat same price Code gen −11% | 118K → 16K max output no tool use no extended reasoning |

## 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/).