---
title: "Is o1 still undominated? · Undominated.ai"
canonical: https://undominated.ai/check/openai__o1/
description: "o1: whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Sep 23, 2026. Unrated stays unrated."
---

# Is o1 still undominated? · Undominated.ai

> o1: whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Sep 23, 2026. Unrated stays unrated.

# Is o1 a good deal?

Whether anything in this catalogue beats o1 on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion.

13 undominated of 136 · Sep 23, 2026

 [1 · Choose & set workload](#check-input)[2 · Read verdict](#check-verdict)[3 · Inspect alternatives](#check-options)

As of Sep 23, 2026, o1 is dominated for Balanced on LMArena. Claude Fable 5.1 scores 141.9 higher and costs 24% less, with a covering envelope. 13 of 136 rated, priced standard models are undominated.

[Inspect model evidence](/models/openai__o1/) [Compare differences & requirements](/compare/?models=openai%2Fo1%2Canthropic%2Fclaude-fable-5.1)

 Current model

o1

 Balanced

3 tokens in per 1 out

 Balanced Summarise Chat Code gen Agentic
 Monthly spend (USD) Used only to say how many months a named switching cost would take to earn back. Leave blank to skip. Switching cost (USD)

Claude Fable 5.1 is both better and cheaper than o1: 141.9 points higher on LMArena and 24% less per million tokens, $6.25 cheaper at this mix.

 [o1](https://undominated.ai/models/openai__o1/)

LMArena Elo · higher is better

Scale starts at 1040 Elo

 **

1365.7

Effective $/M · Balanced · lower is better

 **

$26.25/M

 [Claude Fable 5.1](https://undominated.ai/models/anthropic__claude-fable-5.1/)

LMArena Elo · higher is better

Scale starts at 1040 Elo

 **

1507.6

Effective $/M · Balanced · lower is better

 **

$20.00/M

o1 takes text, image, file, returns up to 100,000 tokens from a 200,000-token context, and is listed by 1 seller.

Compared against 136 rated, priced models on this lens: 27 models dominate it and give up nothing, 5 more dominate it but give something up. o1 scores 1365.7 at $26.25 per million tokens for this mix.

## Envelope-safe replacements

Each row scores at least as high, costs no more, and covers this model’s context, output, modalities, tools, and reasoning. A cheaper narrower model is not listed here.

| Model | LMArena | Effective $/M | You save |
| --- | --- | --- | --- |
| [Claude Fable 5.1](/models/anthropic__claude-fable-5.1/) | 1507.6 +141.9 | $20.00/M | 24% |
| [Claude Opus 5](/models/anthropic__claude-opus-5/) | 1504.9 +139.2 | $10.00/M | 62% |
| [Claude Opus 4.6](/models/anthropic__claude-opus-4.6/) | 1503.0 +137.3 | $10.00/M | 62% |
| [Claude Fable 5](/models/anthropic__claude-fable-5/) | 1492.6 +126.9 | $20.00/M | 24% |
| [Claude Opus 4.7](/models/anthropic__claude-opus-4.7/) | 1490.0 +124.3 | $10.00/M | 62% |
| [Muse Spark 1.3](/models/meta__muse-spark-1.3/) | 1489.7 +124.0 | $2.00/M | 92% |
| [Muse Spark 1.1](/models/meta__muse-spark-1.1/) | 1480.2 +114.5 | $2.00/M | 92% |
| [GPT-5.5](/models/openai__gpt-5.5/) | 1465.6 +99.9 | $11.25/M | 57% |
| [Claude Opus 4.8](/models/anthropic__claude-opus-4.8/) | 1460.8 +95.1 | $10.00/M | 62% |
| [Claude Sonnet 4.6](/models/anthropic__claude-sonnet-4.6/) | 1458.3 +92.6 | $6.00/M | 77% |
| [GPT-5.6 Sol](/models/openai__gpt-5.6-sol/) | 1455.1 +89.4 | $4.00/M | 85% |
| [GPT-5.4](/models/openai__gpt-5.4/) | 1452.6 +86.9 | $5.63/M | 79% |
| [Grok 4.5](/models/x-ai__grok-4.5/) | 1450.1 +84.4 | $3.00/M | 89% |
| [GPT-5.6 Terra](/models/openai__gpt-5.6-terra/) | 1446.2 +80.5 | $4.50/M | 83% |
| [GPT-6 Astra](/models/openai__gpt-6-astra/) | 1443.7 +78.0 | $20.00/M | 24% |
| [Claude Sonnet 5](/models/anthropic__claude-sonnet-5/) | 1442.2 +76.5 | $4.00/M | 85% |
| [GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) | 1429.9 +64.2 | $0.450/M | 98% |
| [Grok 4.6](/models/x-ai__grok-4.6/) | 1429.9 +64.2 | $3.00/M | 89% |
| [GPT-5.1](/models/openai__gpt-5.1/) | 1422.6 +56.9 | $3.44/M | 87% |
| [Mistral Medium 3.5](/models/mistralai__mistral-medium-3-5/) | 1420.6 +54.9 | $3.00/M | 89% |
| [GPT-5.2](/models/openai__gpt-5.2/) | 1412.4 +46.7 | $4.81/M | 82% |
| [GPT-5.4 Mini](/models/openai__gpt-5.4-mini/) | 1412.1 +46.4 | $1.69/M | 94% |
| [o3](/models/openai__o3/) | 1409.9 +44.2 | $3.50/M | 87% |
| [GPT-5](/models/openai__gpt-5/) | 1406.1 +40.4 | $3.44/M | 87% |
| [Grok 4.3](/models/x-ai__grok-4.3/) | 1397.7 +32.0 | $1.56/M | 94% |
| [GPT-5 Mini](/models/openai__gpt-5-mini/) | 1373.0 +7.3 | $0.688/M | 97% |
| [GPT-5.4 Nano](/models/openai__gpt-5.4-nano/) | 1372.9 +7.2 | $0.463/M | 98% |

## Higher score, lower price, named losses

Not a drop-in. The loss is why these are not a recommendation.

| Model | LMArena | Effective $/M | You give up |
| --- | --- | --- | --- |
| [Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) | 1494.7 | $1.50/M | max output |
| [Gemini 3.7 Flash](/models/google__gemini-3.7-flash/) | 1490.5 | $1.50/M | max output |
| [Gemini 3.1 Pro Preview](/models/google__gemini-3.1-pro-preview/) | 1480.1 | $4.50/M | max output |
| [Gemini 3.6 Flash](/models/google__gemini-3.6-flash/) | 1476.1 | $1.50/M | max output |
| [Gemini 3.5 Flash](/models/google__gemini-3.5-flash/) | 1475.7 | $3.38/M | max output |

 136 rated, priced standard models. Chartreuse is the frontier. Cobalt is the model you named, when it is not on the staircase.

Copy watch URL [Open the frontier](/frontier/)

The link keeps the model and mix, using the current catalogue. Monthly spend and switching cost stay in this browser tab and are left out of the link.

## Saved decision references

Save the model, workload, catalogue date and capability-preservation rule in this browser. Spend, switching cost and bill contents are not saved. No account or notifications.

Constraint: replacements must preserve the model’s capabilities; any losses remain named trade-offs.

Historical decisions cannot be fully replayed from saved references: past prices, scores and capability evidence are not stored.

 Save this reference

## Continue your investigation

 - [Build a shortlist](/compare/)
- [Inspect alternatives](/alternatives/)
- [Check billing conditions](/traps/)
- [Read model evidence](/models/)
