GPT-5.2
Reliable GPT generation for broad coding, writing, and tool-assisted product work
- Context
- 400K
- Released
- 10mo ago
- Input / 1M tokens
- $1.75
- Output / 1M tokens
- $14.00
- Cached input / 1M tokens
- $0.18
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- OpenAI
- Model family
- GPT
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- December 11, 2025
- Model ID
openai/gpt-5.2- Openness
- Closed
- License
- —
- Input modalities
- file, image, text
- Output modalities
- text
- Modality
- text+image+file->text
- Tokenizer
- GPT
- Max output tokens
- 128K
- Knowledge cutoff
- 2025-08-31
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- openai/gpt-5.2
- Source family
- gpt
- Last updated
- 2025-12-11
- Knowledge cutoff
- 2025-08-31
- Model context
- 400K
- Maximum input
- 272K
- Model output limit
- 128K
- Open weights
- No
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature control
- Yes
Published benchmarks
| Benchmark | Score | Evaluation details | Evidence |
|---|---|---|---|
| SWE-Bench Pro | 29.94 · resolve rate | public | Source |
Complete source record (JSON)
{
"id": "openai/gpt-5.2",
"name": "GPT-5.2",
"description": "Reliable GPT generation for broad coding, writing, and tool-assisted product work",
"family": "gpt",
"last_updated": "2025-12-11",
"knowledge": "2025-08-31",
"attachment": true,
"reasoning": true,
"tool_call": true,
"structured_output": true,
"temperature": true,
"modalities": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"limit": {
"context": 400000,
"input": 272000,
"output": 128000
},
"benchmarks": [
{
"name": "SWE-Bench Pro",
"score": 29.94,
"source": "https://labs.scale.com/leaderboard/swe_bench_pro_public",
"metric": "resolve rate",
"dataset": "public"
}
],
"release_date": "2025-12-11",
"open_weights": false
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| openai/flex | 400K | $0.88 | $7.00 | $0.09 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| openai/flexBatch pricing | 400K | $0.88 | $7.00 | $0.09 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azure | 400K | $1.75 | $14.00 | $0.18 | — | 99.52% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azureBatch pricing | 400K | $1.75 | $14.00 | $0.18 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| openai | 400K | $1.75 | $14.00 | $0.18 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| openaiBatch pricing | 400K | $1.75 | $14.00 | $0.18 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| openai/fast | 400K | $3.50 | $28.00 | $0.35 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| openai/fastBatch pricing | 400K | $3.50 | $28.00 | $0.35 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Text provenance
EU · product-scopedOpenAI textGrain watermarking
In the EU, ChatGPT-generated text uses textGrain. OpenAI says API customers can opt in globally for select models, so watermarking depends on the product surface and configuration.
Official explanation