GPT-5.2-Codex

GPT-5.2-Codex is a reasoning model from OpenAI. 19 benchmarks count toward its index, in 7 categories.

  • Closed weights
  • Reasoning
  • Input: text · image
  • Released 2025-12
RankedEnough results for an index.
IndexAll categories, out of 100.59.9±4.2Median 51.0
CoverageIndex weight that has results.95%
SpeedOutput tokens per second.44/sMedian 67/s
First tokenSeconds to the first output token.2.9 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$1.75Median $0.60
Output / 1MUS dollars per 1M output tokens.$14.00Median $2.55
ContextMaximum tokens in one request.400KMedian 262K
EloLMArena rating and rank.—Median 1422

Details

From OpenRouter
API IDThe model ID on OpenRouter.
openai/gpt-5.2-codex
Max outputMaximum output tokens per request.
128K
Knowledge cutoffLast date of training data.
—
ToolsTool calls on OpenRouter.
Yes
JSON outputOutput follows a given JSON schema.
Yes
Cache read / 1MUS dollars per 1M cached tokens.
$0.175
WeightsLink to the published weights.
—
RetiresDate OpenRouter removes the model.
—

Where to run

APIs that serve this model.
1 provider
ProviderTypeMaker, cloud, host or router.InputOutputContext
OpenRouterRouter$1.75$14.00400K

US dollars per 1M tokens, list price. From models.dev (opens in a new tab) (MIT).

Capabilities

Index per category, out of 100.
Out of 100
AgenticMulti-step tasks with tools.4 counted58.182 / 218
CodingCode writing and repair.4 counted61.463 / 209
ReasoningLogic problems and puzzles.3 counted60.066 / 227
MultimodalTasks with images and text.1 counted54.5—
KnowledgeFacts and expert knowledge.4 counted60.164 / 268
MultilingualTasks in many languages.None counted——
InstructionTasks with strict prompt rules.2 counted61.312 / 63
MathMath problems.1 counted63.5—

Results

19 counted
BenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Artificial Analysis IFBenchInstruction77.6%9 / 146
LiveCodeBenchCoding88.0% ±0.99 / 142
LiveBench CodingCoding83.6%6 / 66
Artificial Analysis GPQA DiamondKnowledge89.9%37 / 199
LiveBench Data AnalysisReasoning78.2%26 / 80
Critical Physics TasksReasoning8.7%73 / 214
Artificial Analysis MMMU-ProMultimodal76.3%46 / 113
LiveBench MathematicsMath88.8%38 / 66
LiveBench Instruction FollowingInstruction66.4%38 / 66
Vibe Code Bench v1.1Coding37.9% ±4.676 / 123
SWE-benchCoding72.4% ±2.055 / 87
LiveBench Agentic CodingAgentic49.4%43 / 66
JobBenchAgentic26.0%28 / 36
LiveBench ReasoningReasoning77.7%64 / 80
LiveBench LanguageKnowledge73.7%53 / 66

Sources

BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuseLiveBenchNo licence statedVals AINo licence statedSWE-bench teamNo licence statedmodels.devMIT

History

5 releases
Index61.0 → 59.9
23 Oct 202612 Nov 2026
Output / 1M$14.00 → $14.00
23 Oct 202612 Nov 2026

Questions

How much does GPT-5.2-Codex cost?
$1.75 per 1M input tokens, $14.00 per 1M output tokens.
How good is GPT-5.2-Codex?
Its index is 59.9 out of 100. That is place 75 of 283 ranked models.
What is GPT-5.2-Codex best at?
Instruction: 61.3 out of 100, place 12 of 63.
How fast is GPT-5.2-Codex?
44 output tokens per second, 2.9 s to the first token.
What is the context window of GPT-5.2-Codex?
400K tokens.
Is GPT-5.2-Codex open source?
No. Its weights are not published.
When was GPT-5.2-Codex released?
December 2025.

Badge

GPT-5.2-Codex on Inference360: place 75 of 283, index 59.9
HTML
<a href="https://inference360.ai/models/gpt-5-2-codex"><img src="https://inference360.ai/badges/gpt-5-2-codex.svg" alt="GPT-5.2-Codex on Inference360: place 75 of 283, index 59.9" height="20"></a>
Markdown
[![GPT-5.2-Codex on Inference360: place 75 of 283, index 59.9](https://inference360.ai/badges/gpt-5-2-codex.svg)](https://inference360.ai/models/gpt-5-2-codex)

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