---
title: "Is GPT-4o (2024-05-13) still undominated? · Undominated.ai"
canonical: https://undominated.ai/check/openai__gpt-4o-2024-05-13/
description: "GPT-4o (2024-05-13): whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Oct 6, 2026. Unrated stays unrated."
---

# Is GPT-4o (2024-05-13) still undominated? · Undominated.ai

> GPT-4o (2024-05-13): whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Oct 6, 2026. Unrated stays unrated.

# Is GPT-4o (2024-05-13) a good deal?

Whether anything in this catalogue beats GPT-4o (2024-05-13) on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion.

12 undominated of 145 · Oct 6, 2026

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

As of Oct 6, 2026, GPT-4o (2024-05-13) is dominated for Balanced on LMArena. Gemini 3.8 Flash scores 196.6 higher and costs 60% less, with a covering envelope. 12 of 145 rated, priced standard models are undominated.

[Inspect model evidence](/models/openai__gpt-4o-2024-05-13/) [Compare differences & requirements](/compare/?models=openai%2Fgpt-4o-2024-05-13%2Cgoogle%2Fgemini-3.8-flash)

 Current model

GPT-4o (2024-05-13)

 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)

Gemini 3.8 Flash is both better and cheaper than GPT-4o (2024-05-13): 196.6 points higher on LMArena and 60% less per million tokens, $4.50 cheaper at this mix.

 [GPT-4o (2024-05-13)](https://undominated.ai/models/openai__gpt-4o-2024-05-13/)

LMArena Elo · higher is better

Scale starts at 1040 Elo

 **

1300.4

Effective $/M · Balanced · lower is better

 **

$7.50/M

 [Gemini 3.8 Flash](https://undominated.ai/models/google__gemini-3.8-flash/)

LMArena Elo · higher is better

Scale starts at 1040 Elo

 **

1497.0

Effective $/M · Balanced · lower is better

 **

$3.00/M

GPT-4o (2024-05-13) takes text, image, file, returns up to 4,096 tokens from a 128,000-token context, and is listed by 2 sellers.

Compared against 145 rated, priced models on this lens: 41 models dominate it and give up nothing, 5 more dominate it but give something up. GPT-4o (2024-05-13) scores 1300.4 at $7.50 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 |
| --- | --- | --- | --- |
| [Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) | 1497.0 +196.6 | $3.00/M | 60% |
| [Muse Spark 1.3](/models/meta__muse-spark-1.3/) | 1489.9 +189.5 | $2.00/M | 73% |
| [Gemini 3.7 Flash](/models/google__gemini-3.7-flash/) | 1487.0 +186.6 | $3.00/M | 60% |
| [Muse Spark 1.2](/models/meta__muse-spark-1.2/) | 1483.2 +182.8 | $2.00/M | 73% |
| [Gemini 3.1 Pro Preview](/models/google__gemini-3.1-pro-preview/) | 1480.2 +179.8 | $4.50/M | 40% |
| [Gemini 3.6 Flash](/models/google__gemini-3.6-flash/) | 1479.5 +179.1 | $1.50/M | 80% |
| [Muse Spark 1.1](/models/meta__muse-spark-1.1/) | 1479.2 +178.8 | $2.00/M | 73% |
| [Gemini 3.5 Flash](/models/google__gemini-3.5-flash/) | 1477.7 +177.3 | $3.38/M | 55% |
| [Claude Sonnet 5.5](/models/anthropic__claude-sonnet-5.5/) | 1466.6 +166.2 | $4.00/M | 47% |
| [Gemini 2.5 Pro](/models/google__gemini-2.5-pro/) | 1457.8 +157.4 | $3.44/M | 54% |
| [Claude Sonnet 4.6](/models/anthropic__claude-sonnet-4.6/) | 1457.8 +157.4 | $6.00/M | 20% |
| [GPT-5.4](/models/openai__gpt-5.4/) | 1452.2 +151.8 | $5.63/M | 25% |
| [Grok 4.5](/models/x-ai__grok-4.5/) | 1448.1 +147.7 | $3.00/M | 60% |
| [GPT-5.6 Terra](/models/openai__gpt-5.6-terra/) | 1446.3 +145.9 | $4.50/M | 40% |
| [GPT-6.1 Sol](/models/openai__gpt-6.1-sol/) | 1445.6 +145.2 | $4.00/M | 47% |
| [Claude Sonnet 5](/models/anthropic__claude-sonnet-5/) | 1442.9 +142.5 | $4.00/M | 47% |
| [Claude Sonnet 4.5](/models/anthropic__claude-sonnet-4.5/) | 1438.6 +138.2 | $6.00/M | 20% |
| [Gemini 3.5 Flash Lite](/models/google__gemini-3.5-flash-lite/) | 1434.7 +134.3 | $0.850/M | 89% |
| [GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) | 1431.0 +130.6 | $0.450/M | 94% |
| [Grok 4.6](/models/x-ai__grok-4.6/) | 1427.4 +127.0 | $3.00/M | 60% |
| [GPT-5.1](/models/openai__gpt-5.1/) | 1422.2 +121.8 | $3.44/M | 54% |
| [Mistral Medium 3.5](/models/mistralai__mistral-medium-3-5/) | 1421.2 +120.8 | $3.00/M | 60% |
| [Gemini 2.5 Flash](/models/google__gemini-2.5-flash/) | 1417.0 +116.6 | $0.850/M | 89% |
| [Gemini 3.1 Flash Lite Preview](/models/google__gemini-3.1-flash-lite-preview/) | 1415.7 +115.3 | $0.563/M | 93% |
| [GPT-5.2](/models/openai__gpt-5.2/) | 1412.3 +111.9 | $4.81/M | 36% |
| [GPT-5.4 Mini](/models/openai__gpt-5.4-mini/) | 1411.4 +111.0 | $1.69/M | 78% |
| [o3](/models/openai__o3/) | 1409.9 +109.5 | $3.50/M | 53% |
| [GPT-5](/models/openai__gpt-5/) | 1406.1 +105.7 | $3.44/M | 54% |
| [Grok 4.7](/models/x-ai__grok-4.7/) | 1399.9 +99.5 | $3.00/M | 60% |
| [Grok 4.3](/models/x-ai__grok-4.3/) | 1396.7 +96.3 | $1.56/M | 79% |
| [Claude Haiku 4.5](/models/anthropic__claude-haiku-4.5/) | 1396.1 +95.7 | $2.00/M | 73% |
| [GPT-6 Sol](/models/openai__gpt-6-sol/) | 1395.4 +95.0 | $4.00/M | 47% |
| [GPT-6 Luna](/models/openai__gpt-6-luna/) | 1391.5 +91.1 | $0.200/M | 97% |
| [GPT-4.1](/models/openai__gpt-4.1/) | 1383.0 +82.6 | $3.50/M | 53% |
| [GPT-5 Mini](/models/openai__gpt-5-mini/) | 1373.2 +72.8 | $0.688/M | 91% |
| [GPT-5.4 Nano](/models/openai__gpt-5.4-nano/) | 1372.1 +71.7 | $0.463/M | 94% |
| [Nova 2 Lite](/models/amazon__nova-2-lite-v1/) | 1361.8 +61.4 | $0.850/M | 89% |
| [o4 Mini](/models/openai__o4-mini/) | 1353.2 +52.8 | $1.93/M | 74% |
| [GPT-4.1 Mini](/models/openai__gpt-4.1-mini/) | 1340.4 +40.0 | $0.700/M | 91% |
| [Claude Sonnet 4](/models/anthropic__claude-sonnet-4/) | 1339.1 +38.7 | $6.00/M | 20% |
| [GPT-5 Nano](/models/openai__gpt-5-nano/) | 1320.0 +19.6 | $0.138/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 |
| --- | --- | --- | --- |
| [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) | 1491.0 | $0.540/M | file |
| [Kimi K3](/models/moonshotai__kimi-k3/) | 1475.9 | $3.76/M | file |
| [GLM 5.3](/models/z-ai__glm-5.3/) | 1471.4 | $1.00/M | image, file |
| [GLM 5.2](/models/z-ai__glm-5.2/) | 1470.4 | $1.12/M | image, file |
| [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) | 1469.6 | $0.238/M | file |

 145 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/)