GPT-5
OpenAI's landmark August 2025 flagship: strong reasoning at a low price
Context window
400,000 tokens (128,000 max output)
Input / 1M tokens
$1.25
Output / 1M tokens
$10.00
Provider
OpenAI
Cached input $0.125 per 1M. OpenAI recommends using the newer GPT-5.5 for new implementations, but GPT-5 remains available at this pricing. · Data verified 2026-07-02
GPT-5 is OpenAI's flagship model launched August 7, 2025, notable for combining frontier-level reasoning and coding with aggressively low API pricing ($1.25 input / $10 output per 1M). It has a 400,000-token context window with up to 128,000 output tokens, accepts text and image input, and has a knowledge cutoff of September 30, 2024. At launch it set state-of-the-art results including 74.9% on SWE-bench Verified and 94.6% on AIME 2025 (without tools), with a GPT-5 pro configuration reaching 88.4% on GPQA. It remains available, though OpenAI now recommends GPT-5.5 for new work.
Capability index
Relative estimates (0-100) to place this model against its peers, grounded in published benchmarks.
How to access it
Available in the OpenAI API via model id 'gpt-5' (snapshot 'gpt-5-2025-08-07') and in ChatGPT. OpenAI recommends GPT-5.5 for new projects but GPT-5 is still fully supported.
Strengths
- ✓Very low price for a frontier-class model ($1.25/$10 per 1M)
- ✓Strong coding (SWE-bench Verified 74.9%) and math (AIME 2025 94.6% without tools)
- ✓Large 400K-token context window
- ✓Multimodal text + image input
- ✓Widely supported and well-documented
Best for developers who...
When to choose it (and when not to)
Reach for GPT-5 when...
- →You want strong reasoning at the lowest frontier-model price
- →Existing GPT-5-based systems that are already tuned and validated
- →General coding, math, and reasoning workloads on a budget
Look elsewhere if...
- ✕New projects where OpenAI recommends the newer GPT-5.5
- ✕Tasks needing the largest context window (GPT-5.4/5.5 offer ~1.05M vs 400K)
- ✕Workloads requiring the latest knowledge (cutoff is September 30, 2024)
How to use it
- ›Disable or lower reasoning effort for simple tasks to save cost and latency
- ›Use cached input ($0.125/1M) for repeated system prompts and large prefixes
- ›Pin snapshot 'gpt-5-2025-08-07' for reproducibility
- ›For newer knowledge or bigger context, prefer GPT-5.5
Quickstart
Pythonfrom openai import OpenAI
client = OpenAI()
response = client.responses.create(
model="gpt-5",
input="Write a Python function to parse ISO 8601 durations.",
)
print(response.output_text)Snapshot 'gpt-5-2025-08-07' pins behavior. OpenAI recommends GPT-5.5 for new implementations.
API model id: gpt-5
Benchmarks
| Benchmark | Score | Notes |
|---|---|---|
| SWE-bench Verified | 74.9% | Real-world software engineering, per OpenAI's GPT-5 launch. |
| AIME 2025 | 94.6% | Competition math without tools, per OpenAI. |
| GPQA (GPT-5 pro) | 88.4% | Graduate-level science with extended reasoning (pro configuration), without tools. |
Source: OpenAI - Introducing GPT-5
Compare GPT-5 with
GPT-5 vs GPT-5.5
OpenAI - 1,050,000 tokens (128,000 max output) ctx
GPT-5 vs Claude Opus 4.8
Anthropic - 1M ctx
GPT-5 vs GPT-4o
OpenAI - 128,000 tokens (16,384 max output) ctx
GPT-5 vs o1
OpenAI - 200,000 tokens (100,000 max output) ctx
GPT-5 vs Claude Opus 4.7
Anthropic - 1M ctx
GPT-5 vs Gemini 2.5 Pro
Google DeepMind - 1,048,576 tokens (1M) input; up to 65K output ctx