---
title: "OpenAI: o3 — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/openai__o3/
description: "OpenAI: o3: $2.00/M in, $8.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements."
---

# OpenAI: o3 — price, capability and what beats it · Undominated.ai

> OpenAI: o3: $2.00/M in, $8.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements.

[Check base rates for this workload](/check/openai__o3/) [Cheaper alternatives](/alternatives/openai__o3/) [Family](/families/openai-o/) [Compare models](https://undominated.ai/compare/?models=openai%2Fo3) Comparison context

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Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls.

MODEL PROOF

# o3

OpenAI · 16 Apr 2025

 Balanced Summarise Chat Code gen Agentic

BETTER VALUE OPTION

## A stored alternative has an equal-or-higher measured score and an equal-or-lower price.

 **$3.50** / 1M tokens Balanced · 3 tokens in per 1 out

[Muse Spark 1.3](/models/meta__muse-spark-1.3/) · Δ score 80 points · 43% lower measured price · $2.00 / 1M tokens

[MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) is a further stored option with these losses: no file input

Evidence as of 06 Oct 2026

 [openrouter/models](https://openrouter.ai/api/v1/models) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) Independent LMArena score 1,409.9 ± 3.62 · 58,583 votes
 Context window 200K
 Maximum output 100K
 Input modalities image, text, file
 Output modalities text
 Published input price $2.00 / 1M tokens
 Published output price $8.00 / 1M tokens
 Pricing kind fixed

Inspect [complete billing conditions](#billing-details) and endpoint terms below.

Price from OpenAI: the cheapest offer that is serving, at standard delivery and at the maker’s precision or better, at its standard rate.

 Every price dimension · USD per million tokens

| Input | $2.00 /M |
| --- | --- |
| Output | $8.00 /M |
| Cached input | $0.500 /M |
| Cache write | Unknown /M |
| Cache write 1h | Unknown /M |
| Reasoning | Unknown /M |
| Web search | $0.01 /call |

### Who sells it

The same weights, different shops. Cheapest is not like-for-like when serving precision differs.

 1 provider offers · rates, limits and conditions

Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test.

| Seller | Input | Output | Precision | Uptime (1d) |
| --- | --- | --- | --- | --- |
| Seller OpenAI openai Endpoint terms Cached input /M $0.500 Context limit 200,000 tokens Output limit 100,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $2.00 | Output $8.00 | Precision undeclared | Uptime (1d) 100.00% |

### Independent scores

| LMArena Elo | 1409.9 default |
| --- | --- |

LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero.

#### Best rankings by task

 - Data visualisation #54 1200
- Game development #104 1047
- UI components #106 1023
- Code categories #109 1024
- Websites #111 1043

Per-task Elo and rank from [Design Arena](https://designarena.ai), via OpenRouter’s model feed. The rank is the feed’s, and it counts models OpenRouter does not list.

### Capability

| Context window | 200K |
| --- | --- |
| Max output | 100K |
| Input modes | image, text, file |
| Tool use | yes |
| Reasoning | optional |
| Knowledge cutoff | 2024-06-30 |
| Open weights | no |

### Provenance

| Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) |
| --- | --- |
| Fetched | 2026-10-06 |
| Quality data | verified |

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

## Questions this page answers

 What does o3 cost?

$2.00/M in, $8.00/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

 Does o3 have an independent quality score?

o3 has an LMArena score in this catalogue.

 What beats o3?

Muse Spark 1.3 has an equal-or-higher measured score and an equal-or-lower price.

 Does this page use Artificial Analysis scores for o3?

No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated.

MODEL MONUMENT

## Save or share this proof

 Download proof card · 1200 × 630 Preview and more sharing options

OpenAI: o3. Balanced workload. Better value option available. Evidence as of 06 Oct 2026.

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## Related

 - Both better and cheaper [Muse Spark 1.3](/models/meta__muse-spark-1.3/)
- Higher score and cheaper, with a named trade [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/)
- Side by side [o3 Pro](/compare/openai__o3--vs--openai__o3-pro/)
- Nearby on the capability axis [GPT-5.4 Mini](/models/openai__gpt-5.4-mini/)
- Same vendor [GPT-5](/models/openai__gpt-5/)
- OpenAI models [OpenAI](/providers/openai/)
- Where this model appears [significance](/significance/)
- Nearby on the capability axis [Qwen3.5-27B](/models/qwen__qwen3.5-27b/)
- Same vendor [GPT-5.1](/models/openai__gpt-5.1/)
- Where this model appears [cheapest-at](/cheapest-at/)
- Nearby on the capability axis [GPT-5.2](/models/openai__gpt-5.2/)
- Same vendor [GPT-6 Sol](/models/openai__gpt-6-sol/)

## Badge

The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not.

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Direct file: [https://undominated.ai/badge/openai__o3.svg](https://undominated.ai/badge/openai__o3.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy.

## Continue your investigation

 - [Explore model families](/families/)
- [Compare a shortlist](/compare/)
- [Check a model](/check/)
- [Understand the evidence](/methodology/)
