GPT-5 Codex (batch)
OpenAI · released Sep 23, 2025
GPT-5-Codex is a specialized version of GPT-5 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
Specification
- Context window
- 400K
- Max output
- 128K
- Knowledge cutoff
- Sep 30, 2024
- Parameters
- Undisclosed
- Licence
- Proprietary
- Serving providers
- 1
- Moderated
- Yes
Intelligence
37.0
84th percentile
Coding
—
Coding Index
Agentic
—
Agentic Index
Output speed
—
Median across providers
Latency
—
Time to first token
Cost per task
$0.43
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- AIME 202598.7%
- τ²-bench (Telecom)86.8%
- MMLU-Pro86.5%
- LiveCodeBench84.0%
- GPQA Diamond83.7%
- IFBench74.1%
- AA-LCR (long context)71.0%
- SciCode40.9%
- Terminal-Bench Hard37.9%
- Humanity's Last Exam27.8%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| AIME 2025 | 98.7% |
| τ²-bench (Telecom) | 86.8% |
| MMLU-Pro | 86.5% |
| LiveCodeBench | 84.0% |
| GPQA Diamond | 83.7% |
| IFBench | 74.1% |
| AA-LCR (long context) | 71.0% |
| SciCode | 40.9% |
| Terminal-Bench Hard | 37.9% |
| Humanity's Last Exam | 27.8% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- MiMo-V2.5Xiaomi38.0
- Grok 4.3xAI37.9
- Ling-3.0-flashInclusionAI37.8
- Qwen3.6 27BQwen37.7
- GPT-5.1OpenAI37.5
- Gemini 3.5 Flash LiteGoogle37.4
- GPT-5 Codex (batch)OpenAI37.0
- Claude Sonnet 4.6Anthropic36.8
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| MiMo-V2.5 | 38.0 |
| Grok 4.3 | 37.9 |
| Ling-3.0-flash | 37.8 |
| Qwen3.6 27B | 37.7 |
| GPT-5.1 | 37.5 |
| Gemini 3.5 Flash Lite | 37.4 |
| GPT-5 Codex (batch) | 37.0 |
| Claude Sonnet 4.6 | 36.8 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $0.625
- Output / 1M tokens
- $5
- Cached input / 1M
- $0.063
- Blended 3:1
- $1.72
One task, estimated
$0.43
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.