---
title: "OpenAI: GPT-5 — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/openai__gpt-5/
description: "OpenAI: GPT-5: $1.25/M in, $10.00/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper."
---

# OpenAI: GPT-5 — price, capability and what beats it · Undominated.ai

> OpenAI: GPT-5: $1.25/M in, $10.00/M out. Independent capability scores, context-tier pricing, and the models that are both better and cheaper.

[Leaderboard](/) / OpenAI

# GPT-5

OpenAI · released 2025-08-07 · proprietary

 $3.44 per million tokens, balanced Balanced Summarise Chat Code gen Agentic

## Grok 4.6 is both better and cheaper.

It scores **+25.6** higher and costs **13% less** ($3.00/M against $3.44/M) on this workload — and it does everything this model does.

[Gemini 3.7 Flash](/models/google__gemini-3.7-flash) is cheaper still (78% less) but drops 128K → 66K max output.

The same model via **batch** is 50% cheaper ($1.72/M) — same weights, different latency.

### Every price dimension

| Input | $1.25 /M |
| --- | --- |
| Output | $10.00 /M |
| Cached input | $0.125 /M |
| Web search | $0.01 /call |
| Batch discount | 50% |

### Independent scores

| Intelligence | 35.3 |
| --- | --- |
| Coding | 37.8 |
| Agentic | 26.5 |
| LMArena Elo | 1405.6 high |

Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.

#### Best rankings by task

 - svg #21 of 98 1229

### Capability

| Context window | 400K |
| --- | --- |
| Max output | 128K |
| Input modes | text, image, file |
| Tool use | yes |
| Reasoning | always on |
| Knowledge cutoff | 2024-09-30 |
| Open weights | no |

### Provenance

| Price source | openrouter.ai |
| --- | --- |
| Fetched | 2026-08-24 |
| Quality data | verified |
| Cross-checked | vendor page |

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...