---
title: "OpenAI: GPT-4 Turbo — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/openai__gpt-4-turbo/
description: "OpenAI: GPT-4 Turbo: $10.00/M in, $30.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements."
---

# OpenAI: GPT-4 Turbo — price, capability and what beats it · Undominated.ai

> OpenAI: GPT-4 Turbo: $10.00/M in, $30.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements.

[Check base rates for this workload](/check/openai__gpt-4-turbo/) [Cheaper alternatives](/alternatives/openai__gpt-4-turbo/) [Family](/families/gpt-legacy/) [Compare models](https://undominated.ai/compare/?models=openai%2Fgpt-4-turbo) 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

# GPT-4 Turbo

OpenAI · 09 Apr 2024

 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.

 **$15.00** / 1M tokens Balanced · 3 tokens in per 1 out

[Claude Opus 5.5](/models/anthropic__claude-opus-5.5/) · Δ score 240 points · 47% lower measured price · $8.00 / 1M tokens

[GLM 5.3](/models/z-ai__glm-5.3/) is a further stored option with these losses: no image 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 1,271.7 ± 3.89 · 98,114 votes
 Context window 128K
 Maximum output 4.1K
 Input modalities text, image
 Output modalities text
 Published input price $10.00 / 1M tokens
 Published output price $30.00 / 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 | $10.00 /M |
| --- | --- |
| Output | $30.00 /M |
| Cached input | Unknown /M |
| Cache write | Unknown /M |
| Cache write 1h | Unknown /M |
| Reasoning | Unknown /M |

### 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 Unknown Context limit 128,000 tokens Output limit 4,096 tokens Tools Listed by endpoint Reasoning Not listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $10.00 | Output $30.00 | Precision undeclared | Uptime (1d) 100.00% |

### Independent scores

| LMArena Elo | 1271.7 default |
| --- | --- |

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

### Capability

| Context window | 128K |
| --- | --- |
| Max output | 4K |
| Input modes | text, image |
| Tool use | yes |
| Reasoning | no |
| Knowledge cutoff | 2023-12-31 |
| Open weights | no |

### Provenance

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

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.

## Questions this page answers

 What does GPT-4 Turbo cost?

$10.00/M in, $30.00/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

 Does GPT-4 Turbo have an independent quality score?

GPT-4 Turbo has an LMArena score in this catalogue.

 What beats GPT-4 Turbo?

Claude Opus 5.5 has an equal-or-higher measured score and an equal-or-lower price.

 Does this page use Artificial Analysis scores for GPT-4 Turbo?

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: GPT-4 Turbo. Balanced workload. Better value option available. Evidence as of 06 Oct 2026.

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## Related

 - Both better and cheaper [Claude Opus 5.5](/models/anthropic__claude-opus-5.5/)
- Higher score and cheaper, with a named trade [GLM 5.3](/models/z-ai__glm-5.3/)
- Nearby on the capability axis [Llama 3.3 70B Instruct](/models/meta-llama__llama-3.3-70b-instruct/)
- Same vendor [GPT-4o (2024-08-06)](/models/openai__gpt-4o-2024-08-06/)
- OpenAI models [OpenAI](/providers/openai/)
- Where this model appears [significance](/significance/)
- Nearby on the capability axis [Qwen2.5 72B Instruct](/models/qwen__qwen-2.5-72b-instruct/)
- Same vendor [GPT-4.1 Nano](/models/openai__gpt-4.1-nano/)
- Where this model appears [cheapest-at](/cheapest-at/)
- Nearby on the capability axis [Mistral Large 2407](/models/mistralai__mistral-large-2407/)
- Same vendor [GPT-4o-mini (2024-07-18)](/models/openai__gpt-4o-mini-2024-07-18/)
- Where this model appears [subscription vs API](/plans/)

## 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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 <a href="https://undominated.ai/models/openai__gpt-4-turbo/"><img src="https://undominated.ai/badge/openai__gpt-4-turbo.svg" alt="GPT-4 Turbo — Undominated.ai dominance verdict" height="36"></a>

Direct file: [https://undominated.ai/badge/openai__gpt-4-turbo.svg](https://undominated.ai/badge/openai__gpt-4-turbo.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/)
