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OpenAI: GPT-5.3 Codex

Coding-optimized GPT model for repository edits, reviews, and agentic software work

Source-linked gpt-codex Closed weights Released 2026-02-05
API record Report
InputT
OutputT
Input price$1.75/M
Output price$14/M
Context400K
Max output128K
Providers29
Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

Report a price
Providers offering GPT-5.3 Codex
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
Poe openai/gpt-5.3-codex 400K 128K $1.6 $13 $0.16 ReasoningTools Docs ↗
Opper openai/gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
Neon gpt-5-3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
Azure Cognitive Services gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
GitHub Copilot gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
Ofox openai/gpt-5.3-codex 400K 128K $1.75 $14 $0.18 ReasoningToolsJSON Docs ↗
Vivgrid gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
Requesty openai/gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
DigitalOcean openai-gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
NanoGPT openai/gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
LLM Gateway openai/gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningTools Docs ↗
FastRouter openai/gpt-5.3-codex 400K 128K $1.75 $14 — ReasoningToolsJSON Docs ↗
AIHubMix gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
OrcaRouter openai/gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
FreeModel gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
Vercel AI Gateway openai/gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
OpenRouter openai/gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
OpenAI gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
DevPass (LLM Gateway) gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
Abacus gpt-5.3-codex 400K 128K $1.75 $14 $0.18 ReasoningToolsJSON Docs ↗
Impossibl openai/gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
ZenMux openai/gpt-5.3-codex 400K 128K $1.75 $14 — ReasoningTools Docs ↗
Azure gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
Kilo Gateway openai/gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
Cloudflare AI Gateway openai/gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
Pioneer gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
Requesty gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
OpenCode Zen gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗
Eden AI openai/gpt-5.3-codex 400K 128K $1.75 $14 $0.175 ReasoningToolsJSON Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $1.6/M

Across 29 priced providers

Median input $1.75/M

Midpoint of listed rates

Highest input $1.75/M

1.1× the lowest listed rate

Output range $13 – $14

Per million output tokens

Poe $1.6/MLowest
Opper $1.75/M
Neon $1.75/M
Azure Cognitive Services $1.75/M
GitHub Copilot $1.75/M
Ofox $1.75/M
Vivgrid $1.75/M
Requesty $1.75/M
DigitalOcean $1.75/M
NanoGPT $1.75/M
LLM Gateway $1.75/M
FastRouter $1.75/M
AIHubMix $1.75/M
OrcaRouter $1.75/M
FreeModel $1.75/M
Vercel AI Gateway $1.75/M
OpenRouter $1.75/M
OpenAI $1.75/M
DevPass (LLM Gateway) $1.75/M
Abacus $1.75/M
Impossibl $1.75/M
ZenMux $1.75/M
Azure $1.75/M
Kilo Gateway $1.75/M
Cloudflare AI Gateway $1.75/M
Pioneer $1.75/M
Requesty $1.75/M
OpenCode Zen $1.75/M
Eden AI $1.75/M
Cost calculator

Estimate a workload

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Excludes taxes, non-token charges, and tiered discounts.
Specification

Capabilities

Recorded from the source catalog and provider listings.

✓ Reasoning Yes
✓ Tool calling Yes
✓ Structured output Yes
✓ Attachments Yes
✓ Vision input Yes
× Open weights No
Creator
OpenAI
Model family
gpt-codex
Knowledge cutoff
2025-08-31
License
Not documented
Release date
2026-02-05
Model ID
openai/gpt-5.3-codex
Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry
Benchmark profile
Design Arena: w…Design Arena: website Design Arena: c…Design Arena: codecategories Design Arena: g…Design Arena: gamedev Design Arena: d…Design Arena: dataviz Design Arena: u…Design Arena: uicomponent Design Arena: 3dDesign Arena: 3d Design Arena: s…Design Arena: svg Design Arena: a…Design Arena: asciiart This model — Design Arena: website: 1175 elo (38.0th percentile) This model — Design Arena: codecategories: 1159 elo (35.0th percentile) This model — Design Arena: gamedev: 1184 elo (45.5th percentile) This model — Design Arena: dataviz: 1180 elo (39.1th percentile) This model — Design Arena: uicomponent: 1152 elo (33.2th percentile) This model — Design Arena: 3d: 1037 elo (15.0th percentile) This model — Design Arena: svg: 1154 elo (34.9th percentile) This model — Design Arena: asciiart: 1171 elo (42.4th percentile)

Each axis is this model's percentile among the 8 benchmarks it has published results for, measured against every other model with a score on that same benchmark. Percentiles are used because benchmarks do not share a scale — a 60 on one is not a 60 on another. Hover any point for the raw score.

Design Arena: website elo Source ↗
Design Arena: website #108 of 175
Design Arena: codecategories elo Source ↗
Design Arena: codecategories #109 of 167
Design Arena: gamedev elo Source ↗
Design Arena: gamedev #91 of 166
Design Arena: dataviz elo Source ↗
Design Arena: dataviz #101 of 165
Design Arena: uicomponent elo Source ↗
Design Arena: uicomponent #108 of 161
Design Arena: 3d elo Source ↗
Design Arena: 3d #134 of 157
Design Arena: svg elo Source ↗
Design Arena: svg #76 of 116
Design Arena: asciiart elo Source ↗
Design Arena: asciiart #57 of 99
Design Arena: fullstack elo Source ↗
Design Arena: fullstack #66 of 67
Design Arena: webapps elo Source ↗
Design Arena: webapps #63 of 67
Design Arena: mobileapps elo Source ↗
Design Arena: mobileapps #66 of 66
Design Arena: androidnative elo Source ↗
Design Arena: androidnative #48 of 59
Design Arena: godotgamedev elo Source ↗
Design Arena: godotgamedev #38 of 45
SWE-Atlas Codebase QnA score · Codex Source ↗
SWE-Atlas Codebase QnA #3 of 3
SWE-Atlas Refactoring score · Codex Source ↗
SWE-Atlas Refactoring #3 of 3
SWE-Atlas Test Writing score · Codex Source ↗
38.98 2 models scored — too few for a distribution

Each strip shows every published score for that benchmark, with this model marked. The lighter shape behind the ticks is the density of results, and the dashed line is the median.

Cost against capability

Price and performance

Listed input price plotted against Design Arena: website, the benchmark with the widest published coverage that this model appears in.

0 720 1441 $0.1 $1 $10 Claude Opus 5 — $5/M, score 1320.0 OpenAI: GPT-5.1 (batch) — $0.625/M, score 1199.0 Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 1135.0 OpenAI: GPT-5 (batch) — $0.625/M, score 1197.0 Gemini 3.1 Flash Lite Preview — $0.25/M, score 1095.0 OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 1010.0 Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 1077.0 Mistral: Mistral Small 3.2 24B — $0.075/M, score 908.0 GPT-5.1 Codex — $1.07/M, score 1174.0 GPT-5.4 — $2.5/M, score 1232.0 Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 1175.0 DeepSeek: DeepSeek V3.2 Exp — $0.27/M, score 1191.0 Anthropic: Claude Opus 4 — $15/M, score 1177.0 Qwen: Qwen3 235B A22B — $0.455/M, score 1043.0 Gemini 3.5 Flash — $1.5/M, score 1275.0 Z.ai: GLM 5.3 Flash (batch) — $0.075/M, score 1291.0 GPT-4.1 mini — $0.4/M, score 1010.0 DeepSeek V4 Pro — $0.435/M, score 1247.0 Claude Sonnet 5 — $2/M, score 1289.0 Mistral: Ministral 3 8B 2512 — $0.15/M, score 1077.0 Z.ai: GLM 5.1 — $0.966/M, score 1290.0 Gemini 3.7 Flash — $0.75/M, score 1315.0 Muse Spark 1.3 — $1.25/M, score 1359.0 Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 1267.0 Mistral: Mistral Large 3 2512 — $0.5/M, score 1175.0 DeepSeek V3.2 — $0.18/M, score 1187.0 OpenAI: GPT-5.5 (batch) — $2.5/M, score 1269.0 Anthropic: Claude Opus 4.7 — $5/M, score 1307.0 Google: Gemini 3.5 Flash (batch) — $0.75/M, score 1275.0 Google: Gemini 2.5 Pro (batch) — $0.625/M, score 1179.0 Inception: Mercury 2 — $0.25/M, score 1035.0 OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 985.0 Gemini 3.6 Flash — $0.75/M, score 1312.0 Anthropic: Claude Sonnet 4.5 — $3/M, score 1202.0 Z.ai: GLM 4.7 Flash — $0.061/M, score 1206.0 Claude Fable 5 — $10/M, score 1310.0 Gemini 2.5 Pro — $1.25/M, score 1179.0 Z.ai: GLM 5.3 Flash — $0.15/M, score 1291.0 MiniMax: MiniMax M3 — $0.3/M, score 1271.0 Google: Gemini 2.5 Flash (batch) — $0.15/M, score 1127.0 Anthropic: Claude Fable 5.1 — $10/M, score 1322.0 Z.ai: GLM 5V Turbo — $1.2/M, score 1243.0 MoonshotAI: Kimi K2.7 Code (batch) — $0.95/M, score 1290.0 OpenAI: o3 (batch) — $1/M, score 1048.0 Inkling — $1.87/M, score 1226.0 OpenAI: gpt-oss-20b (batch) — $0.05/M, score 865.0 Muse Spark 1.1 — $1.25/M, score 1282.0 MiMo-V2.5 — $0.14/M, score 1279.0 MoonshotAI: Kimi K2 0711 — $0.57/M, score 1063.0 Kimi K2 Thinking — $0.4/M, score 1125.0 Qwen: Qwen3.8 Max (0803) — $2/M, score 1295.0 Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 1145.0 GPT-5.1 — $1.25/M, score 1199.0 Anthropic: Claude Fable 5.1 (batch) — $5/M, score 1322.0 Google: Gemini 3.8 Flash (batch) — $0.375/M, score 1315.0 Google: Gemini 3.7 Flash (batch) — $0.375/M, score 1315.0 GPT-5.3 Codex — $1.75/M, score 1175.0 Z.ai: GLM 5.3 (batch) — $0.7/M, score 1319.0 DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 1251.0 Anthropic: Claude Opus 4.6 (batch) — $2.5/M, score 1304.0 MoonshotAI: Kimi K3 (batch) — $3/M, score 1354.0 GPT-5.5 — $5/M, score 1269.0 OpenAI: GPT-5 Nano (batch) — $0.025/M, score 1114.0 Mistral: Codestral 2508 (batch) — $0.15/M, score 1025.0 Anthropic: Claude Sonnet 5 (batch) — $1/M, score 1289.0 OpenAI: GPT-5.2 (batch) — $0.875/M, score 1207.0 Anthropic: Claude Fable 5 (batch) — $5/M, score 1310.0 GPT-5.1 Codex mini — $0.22/M, score 1123.0 Thinking Machines: Inkling (batch) — $1/M, score 1226.0 GPT OSS 120B — $0.03/M, score 980.0 OpenAI: GPT-4o (batch) — $1.25/M, score 843.0 Mistral: Codestral 2508 — $0.3/M, score 1025.0 SpaceXAI: Grok 4.6 — $2/M, score 1306.0 DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 1199.0 GPT-5 Mini — $0.25/M, score 1137.0 Claude Opus 5 (batch) — $2.5/M, score 1320.0 o3 — $2/M, score 1048.0 OpenAI: GPT-5.4 (batch) — $1.25/M, score 1232.0 DeepSeek V4 Flash — $0.15/M, score 1220.0 DeepSeek Chat — $0.147/M, score 1132.0 Qwen: Qwen3 Max — $0.78/M, score 1131.0 Kimi K2.7 Code — $0.95/M, score 1279.0 GPT-4.1 — $2/M, score 1051.0 Z.ai: GLM 5.2 (batch) — $0.7/M, score 1307.0 Google: Gemini 3.6 Flash (batch) — $0.375/M, score 1312.0 Z.ai: GLM 5.3 — $1.4/M, score 1319.0 Anthropic: Claude Opus 4.8 — $5/M, score 1267.0 SpaceXAI: Grok 4.3 — $1.25/M, score 1206.0 Gemini 3 Flash Preview — $0.5/M, score 1208.0 MiniMax: MiniMax M3 (batch) — $0.3/M, score 1271.0 Gemini 3.8 Flash — $0.75/M, score 1315.0 NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 1144.0 OpenAI: o4 Mini (batch) — $0.55/M, score 998.0 Z.ai: GLM 5 — $0.6/M, score 1260.0 MiniMax: MiniMax M2.7 — $0.3/M, score 1258.0 SpaceXAI: Grok 4.5 — $2/M, score 1296.0 Mistral: Mistral Medium 3.1 — $0.4/M, score 1145.0 Kimi K2.6 — $0.95/M, score 1282.0 Google: Gemini 3 Flash Preview (batch) — $0.25/M, score 1208.0 GPT-5.2 — $1.75/M, score 1207.0 Kimi K3 — $3/M, score 1354.0 Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 1202.0 OpenAI: gpt-oss-120b (batch) — $0.15/M, score 980.0 OpenAI: GPT-4.1 (batch) — $1/M, score 1051.0 MiniMax: MiniMax M2 — $0.255/M, score 1155.0 Solar Pro 4 — $0.3/M, score 1188.0 Gemini 3.1 Pro Preview — $2/M, score 1265.0 Anthropic: Claude Opus 4.1 (batch) — $7.5/M, score 1189.0 Qwen: Qwen3 Coder 480B A35B — $0.3/M, score 1171.0 Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 1307.0 Mistral: Mistral Medium 3 — $0.4/M, score 1091.0 MiMo-V2.5-Pro — $0.435/M, score 1285.0 Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 1265.0 Anthropic: Claude Opus 4.1 — $15/M, score 1189.0 Anthropic: Claude Sonnet 4.6 — $3/M, score 1297.0 Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 1297.0 DeepSeek V4 Flash 0731 — $0.05/M, score 1251.0 GPT-5 — $1.25/M, score 1197.0 OpenAI: GPT-5 Mini (batch) — $0.125/M, score 1137.0 Anthropic: Claude Opus 4.5 (batch) — $2.5/M, score 1259.0 Qwen: Qwen3.7 Plus — $0.32/M, score 1282.0 SpaceXAI: Grok 4.3 (batch) — $1/M, score 1206.0 o4-mini — $1.1/M, score 998.0 Nemotron 3 Ultra 550B A55B — $0.5/M, score 1144.0 Anthropic: Claude Sonnet 4 — $3/M, score 1158.0 SpaceXAI: Grok 4.20 — $1.25/M, score 1242.0 Hy3 — $0.066/M, score 1194.0 Qwen: Qwen3.6 Plus — $0.325/M, score 1253.0 Z.ai: GLM 4.6 — $0.43/M, score 1187.0 GPT-4o — $2.5/M, score 843.0 Gemini 2.5 Flash — $0.3/M, score 1127.0 Muse Spark 1.2 — $1.25/M, score 1322.0 GPT-4.1 nano — $0.1/M, score 985.0 GPT OSS 20B — $0.02/M, score 865.0 Kimi K2.5 — $0.3/M, score 1261.0 Trinity Large Thinking — $0.25/M, score 1149.0 MoonshotAI: Kimi K2 0905 — $0.6/M, score 1120.0 Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 943.0 Z.ai: GLM 5.2 — $0.966/M, score 1307.0 Qwen: Qwen3.7 Max — $1.475/M, score 1285.0 Qwen: Qwen3.5 Plus 2026-02-15 — $0.26/M, score 1200.0 MiniMax: MiniMax M2.1 — $0.3/M, score 1214.0 Z.ai: GLM 4.7 — $0.4/M, score 1238.0 Mistral: Ministral 3 3B 2512 — $0.1/M, score 1040.0 Amazon: Nova Premier 1.0 — $2.5/M, score 847.0 DeepSeek: DeepSeek V3.1 — $0.25/M, score 1135.0 Z.ai: GLM 4.5 — $0.6/M, score 1182.0 Meta: Llama 4 Maverick — $0.2/M, score 883.0 Nex AGI: Nex-N2-Pro — $0.25/M, score 1236.0 Z.ai: GLM 5 Turbo — $1.2/M, score 1278.0 Qwen: Qwen3.5 397B A17B — $0.55/M, score 1203.0 MiniMax: MiniMax M2.5 — $0.3/M, score 1235.0 Anthropic: Claude Opus 4.6 — $5/M, score 1304.0 Mistral: Ministral 3 14B 2512 — $0.2/M, score 1093.0 Anthropic: Claude Opus 4.5 — $5/M, score 1259.0 Anthropic: Claude Haiku 4.5 — $1/M, score 1135.0 Qwen: Qwen3 Coder 30B A3B Instruct — $0.07/M, score 1100.0 Z.ai: GLM 4.5 Air — $0.13/M, score 1159.0 Qwen: Qwen3 235B A22B Thinking 2507 — $0.23/M, score 1065.0 Qwen: Qwen3 235B A22B Instruct 2507 — $0.22/M, score 1070.0 DeepSeek: R1 0528 — $0.5/M, score 1161.0 Qwen: Qwen3 30B A3B — $0.12/M, score 967.0 Meta: Llama 4 Scout — $0.1/M, score 762.0 Amazon: Nova Pro 1.0 — $0.8/M, score 808.0 GPT-5 Nano — $0.05/M, score 1114.0 Step 3.7 Flash — $0.185/M, score 1206.0 GPT-5.3 Codex Input price per million tokens (log scale) Elo

The stepped line is the efficient frontier: at each price, the best score available for that money or less. A model sitting on it is not being beaten by anything cheaper. Price is log-scaled because listed rates span four orders of magnitude. Only models with both a listed price and a score on this benchmark can appear.

Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log
Price Completion13.0 → 14.0
Price Prompt1.6 → 1.75
Price Completion14.0 → 13.0
Price Prompt1.75 → 1.6
Price Completion13.0 → 14.0
Price Prompt1.6 → 1.75
Price Completion14.0 → 13.0
Price Prompt1.75 → 1.6
Price Completion13.0 → 14.0
Price Prompt1.6 → 1.75
Provenance

Sources & verification

Every figure on this page traces back to one of these records.

Methodology
Last verified
Sep 11, 2026
Status
Source-linked
Confidence
Medium
Catalog source
Models.dev
Models.devcatalog ↗Poe documentationprovider documentation ↗Opper documentationprovider documentation ↗Neon documentationprovider documentation ↗Azure documentationprovider documentation ↗GitHub Copilot documentationprovider documentation ↗Ofox documentationprovider documentation ↗Vivgrid documentationprovider documentation ↗Requesty documentationprovider documentation ↗DigitalOcean documentationprovider documentation ↗NanoGPT documentationprovider documentation ↗DevPass (LLM Gateway) documentationprovider documentation ↗
Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation
Endpoint
GET https://model.kyssta.lol/api/v1/models/openai/gpt-5.3-codex
curl
curl "https://model.kyssta.lol/api/v1/models/openai/gpt-5.3-codex"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is GPT-5.3 Codex?

Coding-optimized GPT model for repository edits, reviews, and agentic software work. It is published by OpenAI and catalogued here from Models.dev.

How much does GPT-5.3 Codex cost?

Listed input pricing starts at $1.6 per million tokens from Poe, rising to $1.75 across 29 listed providers.

What is the context length of GPT-5.3 Codex?

GPT-5.3 Codex accepts up to 400K tokens of context and returns up to 128K output tokens.

Does GPT-5.3 Codex support tool calling and structured output?

Provider catalogs list support for tool calling, structured output, reasoning, and image input.

Which providers serve GPT-5.3 Codex?

28 providers list this model: Poe, Opper, Neon, Azure Cognitive Services, GitHub Copilot, Ofox and 22 more.

Are the weights for GPT-5.3 Codex open?

No. This model is served through hosted APIs only.

When was GPT-5.3 Codex released?

The catalog records a release date of 2026-02-05, last verified Sep 11, 2026.

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