OpenAI: GPT-5 Mini
openai/gpt-5-miniAbout
GPT-5 Mini is a compact variant of GPT-5 built for lighter-weight reasoning tasks at reduced latency and cost. It retains the instruction-following and safety-tuning characteristics of GPT-5 and is positioned as the successor to OpenAI's o4-mini. It accepts text, image, and file inputs and returns text, with a 400K-token context window and up to 128K output tokens. The API supports prompt caching and an optional web search tool.
Capabilities
- Context Length
- 400K
- Max Output
- 128K
- Reasoning
- Yes
- In
- text, image, file
- Out
- text
Benchmarks
View leaderboardReasoning & Knowledge
Coding & Agentic
Math
Source: Artificial Analysis
Pricing
Full pricing| Type | Price / 1M tokens |
|---|---|
| Input | $0.25 |
| Output | $2.00 |
| Cache Read | $0.025 |
| Web Search | $0.01 / call |
OpenAI-compatible · Model ID openai/gpt-5-mini
curl https://api.elliotgate.com/v1/chat/completions \
-H "Authorization: Bearer sk-omg-your-api-key" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-5-mini",
"messages": [{"role": "user", "content": "Hello!"}]
}'OFTEN COMPARED
GPT-5 Mini comparisons
Decide which model wins on the dimensions that matter for your workload — context, benchmarks, pricing, or serving latency.
GPT-5 Mini vs MiMo-V2-Pro
GPT-5 Mini and MiMo-V2-Pro address the mid-tier reasoning segment from different angles.
See full comparison →GPT-5 Mini vs Grok 4.20
GPT-5 Mini and Grok 4.
See full comparison →GPT-5 Mini vs MiniMax M2.7
GPT-5 Mini and MiniMax M2.
See full comparison →GPT-5 Mini vs GLM 5
GLM-5 and GPT-5 Mini are both reasoning-capable models at a mid-tier price point, but the angle of comparison shifts quickly once you examine the numbers.
See full comparison →GPT-5 Mini vs Qwen3.6 Plus
Qwen3.
See full comparison →GPT-5 Mini vs GLM 5.1
GLM 5.
See full comparison →GPT-5 Mini vs DeepSeek: DeepSeek V4 Pro
DeepSeek V4 Pro and GPT-5 Mini represent two different philosophies for capable, non-flagship reasoning.
See full comparison →GPT-5 Mini vs Qwen3.6 Max Preview
Qwen3.
See full comparison →