OpenAI, proprietary

# GPT-5.3 Chat

> GPT-5.3 Chat by OpenAI, released March 2026. Ranked #109 of 354 with a Noometry Index of 42.8. API: $1.75 in / $14 out per M tokens. 128K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/gpt-5-3-chat
- Last updated: 2026-10-10
- Title: GPT-5.3 Chat Benchmarks, Price & Rank (October 2026)

GPT-5.3 Chat by OpenAI ranks 109th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.8. Its strongest category is writing & preference, where it ranks 68th. API pricing starts at $1.75 per million input tokens and $14 per million output tokens, with a 128K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #109 of 354
- **Index score:** 42.8
- **Evidence:** Confirmed 18 results
- **Provider:** [OpenAI](https://noometry.com/providers/openai)
- **Released:** March 3, 2026
- **Weights:** Proprietary
- **Reasoning:** No
- **Context window:** 128K
- **Max output:** 16K
- **Input price:** $1.75 / M
- **Output price:** $14 / M
- **Blended price:** $4.81 / M
- **Output speed:** Not measured
- **Value:** #188 of 219
- **Knowledge cutoff:** August 2025
- **Input:** text, image

## Category scores

Each category score combines every public result we have in that category.

GPT-5.3 Chat category scores

1.  Coding 41.4
2.  Reasoning 28.5
3.  Math 38.2
4.  Knowledge 38.8
5.  Multilingual 50.3
6.  Instruction Following 72.8
7.  Long Context 42.6
8.  Writing & Preference 63.1
9.  020406080

GPT-5.3 Chat category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 41.4 | #124 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 28.5 | #102 | 1 |
| [Math](https://noometry.com/best/math) | 38.2 | #142 | 1 |
| [Knowledge](https://noometry.com/best/knowledge) | 38.8 | #140 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 50.3 | #124 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 72.8 | #129 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 42.6 | #120 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 63.1 | #68 | 4 |

## Strengths and weaknesses

Categories where GPT-5.3 Chat places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

GPT-5.3 Chat: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Writing & Preference](https://noometry.com/best/writing) | 63.1 | +9.3 | #68 of 312, top 22% |
| [Reasoning](https://noometry.com/best/reasoning) | 28.5 | +4.9 | #102 of 350, top 30% |
| [Coding](https://noometry.com/best/coding) | 41.4 | +2.7 | #124 of 340, top 37% |

### Weakest categories

GPT-5.3 Chat: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Knowledge](https://noometry.com/best/knowledge) | 38.8 | +1.5 | #140 of 314, top 45% |
| [Math](https://noometry.com/best/math) | 38.2 | +1.6 | #142 of 327, top 44% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 72.8 | +1.5 | #129 of 305, top 43% |

## Closest competitors

The models ranked just above and below GPT-5.3 Chat. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to GPT-5.3 Chat
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [o3-pro](https://noometry.com/models/o3-pro) | #105 | 42.9 | $35 | 1 | [Compare](https://noometry.com/compare/gpt-5-3-chat-vs-o3-pro) |
| [Qwen3.5 Plus](https://noometry.com/models/qwen3-5-plus) | #106 | 42.9 | $0.90 | — | [Compare](https://noometry.com/compare/gpt-5-3-chat-vs-qwen3-5-plus) |
| [Amazon Nova Experimental Chat 26 01 10](https://noometry.com/models/amazon-nova-experimental-chat-26-01-10) | #107 | 42.8 | — | — | [Compare](https://noometry.com/compare/amazon-nova-experimental-chat-26-01-10-vs-gpt-5-3-chat) |
| [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) | #108 | 42.8 | $0.42 | 328 | [Compare](https://noometry.com/compare/deepseek-v3-1-vs-gpt-5-3-chat) |
| [GPT-5.5 Instant](https://noometry.com/models/gpt-5-5-instant) | #110 | 42.7 | — | — | [Compare](https://noometry.com/compare/gpt-5-3-chat-vs-gpt-5-5-instant) |
| [GPT-5.2 Codex](https://noometry.com/models/gpt-5-2-codex) | #111 | 42.6 | $4.81 | — | [Compare](https://noometry.com/compare/gpt-5-2-codex-vs-gpt-5-3-chat) |
| [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) | #112 | 42.5 | $0.18 | — | [Compare](https://noometry.com/compare/gpt-5-3-chat-vs-qwen3-5-flash) |
| [Nemotron 3 Ultra](https://noometry.com/models/nemotron-3-ultra) | #113 | 42.5 | $0.93 | — | [Compare](https://noometry.com/compare/gpt-5-3-chat-vs-nemotron-3-ultra) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

GPT-5.3 Chat Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1408 | #131 of 294, top 45% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Reasoning

GPT-5.3 Chat Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1399 | #127 of 297, top 43% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Math

GPT-5.3 Chat Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1389 | #137 of 285, top 49% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

GPT-5.3 Chat Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1397 | #125 of 273, top 46% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

GPT-5.3 Chat Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1382 | #124 of 297, top 42% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1432 | #117 of 285, top 42% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1397 | #120 of 223, top 54% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1384 | #107 of 231, top 47% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1352 | #96 of 211, top 46% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1346 | #107 of 213, top 51% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1400 | #105 of 283, top 38% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1371 | #131 of 226, top 58% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

GPT-5.3 Chat Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1378 | #123 of 298, top 42% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

GPT-5.3 Chat Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1396 | #120 of 291, top 42% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

GPT-5.3 Chat Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1389 | #129 of 297, top 44% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1355 | #125 of 295, top 43% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 1690 | #32 of 115, top 28% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1412 | #107 of 295, top 37% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

GPT-5.3 Chat API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [openai](https://platform.openai.com/docs/models) | $1.75 | $14 | $0.17 | 2026-10-10 |

[All OpenAI API prices →](https://noometry.com/llm-pricing/openai) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare GPT-5.3 Chat

-   [GPT-5.3 Chat vs DeepSeek-V3.1](https://noometry.com/compare/deepseek-v3-1-vs-gpt-5-3-chat)
-   [GPT-5.3 Chat vs GPT-5.5 Instant](https://noometry.com/compare/gpt-5-3-chat-vs-gpt-5-5-instant)
-   [GPT-5.3 Chat vs Amazon Nova Experimental Chat 26 01 10](https://noometry.com/compare/amazon-nova-experimental-chat-26-01-10-vs-gpt-5-3-chat)
-   [GPT-5.3 Chat vs GPT-5.2 Codex](https://noometry.com/compare/gpt-5-2-codex-vs-gpt-5-3-chat)
-   [GPT-5.3 Chat vs Qwen3.5 Plus](https://noometry.com/compare/gpt-5-3-chat-vs-qwen3-5-plus)
-   [GPT-5.3 Chat vs Qwen3.5-Flash](https://noometry.com/compare/gpt-5-3-chat-vs-qwen3-5-flash)
-   [GPT-5.3 Chat vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-gpt-5-3-chat)
-   [GPT-5.3 Chat vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-gpt-5-3-chat)
-   [GPT-5.3 Chat vs Kimi K3](https://noometry.com/compare/gpt-5-3-chat-vs-kimi-k3)
-   [GPT-5.3 Chat vs Grok 4.6](https://noometry.com/compare/gpt-5-3-chat-vs-grok-4-6)
-   [GPT-5.3 Chat vs Qwen3.8 Max](https://noometry.com/compare/gpt-5-3-chat-vs-qwen3-8-max)
-   [GPT-5.3 Chat vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-gpt-5-3-chat)
-   [GPT-5.3 Chat vs Muse Spark 1.3](https://noometry.com/compare/gpt-5-3-chat-vs-muse-spark-1-3)
-   [GPT-5.3 Chat vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-gpt-5-3-chat)

## Other OpenAI models

-   [GPT-6 Astra](https://noometry.com/models/gpt-6-astra)70.8
-   [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol)65.6
-   [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol)65.0
-   [GPT-5.5 Pro](https://noometry.com/models/gpt-5-5-pro)64.3
-   [GPT-5.5](https://noometry.com/models/gpt-5-5)63.4
-   [GPT-6 Sol](https://noometry.com/models/gpt-6-sol)61.8
-   [GPT-5.4](https://noometry.com/models/gpt-5-4)59.4
-   [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra)59.2

## Frequently asked questions

### How good is GPT-5.3 Chat?

GPT-5.3 Chat by OpenAI ranks 109th of 354 ranked models on the Noometry Index as of October 2026, with a score of 42.8. Its strongest category is writing & preference, where it ranks 68th. API pricing starts at $1.75 per million input tokens and $14 per million output tokens, with a 128K-token context window.

### How much does GPT-5.3 Chat cost?

GPT-5.3 Chat costs $1.75 per million input tokens and $14 per million output tokens on OpenAI's own API, with cached input at $0.17.

### What is GPT-5.3 Chat's context window?

GPT-5.3 Chat accepts up to 128K tokens of input and can write up to 16K tokens in one response.

### Is GPT-5.3 Chat open source?

No. GPT-5.3 Chat is proprietary and available only through OpenAI's API and partner platforms.

### What are GPT-5.3 Chat's strengths and weaknesses?

Relative to other ranked models, GPT-5.3 Chat places best in writing & preference, reasoning, coding and lowest in knowledge, math, instruction following.

### What is GPT-5.3 Chat best at?

Its best category is writing & preference, where it ranks 68th on Noometry.

### Cite this page

Noometry. (2026). GPT-5.3 Chat benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/gpt-5-3-chat

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/gpt-5-3-chat.md).