OpenAI · Efficient
GPT 5 Mini
A lightweight version of GPT-5 for cost-sensitive applications. Balances advanced capabilities with efficient resource usage.
- Reasoning
- Vision
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- minimal · low · medium · high
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.25
- Output
- $2.00
- Cache read
- $0.025
Reference prices as published by the model provider. API example
Specifications
- Context window
- 400K
- Max output
- 128K
- Average output (7 days)
- 891 tokens
- Longer than 67% of 465 models
Side by side
GPT 5 Mini compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GPT 5 MiniOpenAIThis model | GPT 6.1 Sol ProOpenAIRemove | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Discovery tier | Efficient | Frontier |
| Added | Aug 7, 2025 | Sep 29, 2026 |
| Limits | ||
| Context window | 400K | 1.05MBest |
| Max output | 128K | 128K |
| Average output | 891 tokens | 1.2K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.25Best | $2.00 |
| Output | $2.00Best | $10.00 |
| Cache read | $0.025Best | $0.10 |
| Cache write | — | $2.50 |
| Performance | ||
| Request success (24h) | 100.0% | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 16.8 | — |
| Coding Index | 15.6 | — |
| Math Index | 90.7 | — |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | No | Yes |
| Vision | Yes | Yes |
| Structured output | No | Yes |
| PDF input | No | Yes |
| Reasoning effort | minimal, low, medium, high | low, medium, high, xhigh, max |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GPT 5 Mini
- GPT 6.1 Sol Pro
Intelligence Index
- GPT 5 Mini16.8
- GPT 6.1 Sol Pro—
GPT 5 Mini tested at high reasoning effort
GPT 5 Mini: Better than 45% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- GPT 5 Mini: 15.6
- GPT 6.1 Sol Pro: —
Math Index
Composite of the math evaluations
- GPT 5 Mini: 90.7
- GPT 6.1 Sol Pro: —
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- GPT 5 Mini: 6.5%
- GPT 6.1 Sol Pro: —
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- GPT 5 Mini: 0.9%
- GPT 6.1 Sol Pro: —
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- GPT 5 Mini: 428 Elo
- GPT 6.1 Sol Pro: —
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- GPT 5 Mini: 766 Elo
- GPT 6.1 Sol Pro: —
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- GPT 5 Mini: 8.4%
- GPT 6.1 Sol Pro: —
AA-LCRv1.1
Reasoning across long documents
- GPT 5 Mini: 72.3%
- GPT 6.1 Sol Pro: —
MLCR-AA
Long-context reasoning over medical records
- GPT 5 Mini: 8.9%
- GPT 6.1 Sol Pro: —
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GPT 5 Mini: 21.5%
- GPT 6.1 Sol Pro: —
GPQA Diamond
Graduate-level science questions
- GPT 5 Mini: 82.8%
- GPT 6.1 Sol Pro: —
MMLU-Pro
Multi-subject knowledge and reasoning
- GPT 5 Mini: 83.7%
- GPT 6.1 Sol Pro: —
IFBench
Following precise output instructions
- GPT 5 Mini: 75.4%
- GPT 6.1 Sol Pro: —
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- GPT 5 Mini: 0.0%
- GPT 6.1 Sol Pro: —
SciCode
Scientific computing in Python
- GPT 5 Mini: 39.0%
- GPT 6.1 Sol Pro: —
LiveCodeBench
Recent competitive programming problems
- GPT 5 Mini: 83.8%
- GPT 6.1 Sol Pro: —
Math
AIME 2025
Competition mathematics, 2025 problems
- GPT 5 Mini: 90.7%
- GPT 6.1 Sol Pro: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GPT 5 Mini: 33.3%
- GPT 6.1 Sol Pro: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- GPT 5 Mini: 68.4%
- GPT 6.1 Sol Pro: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GPT 5 Mini: 72.3%
- GPT 6.1 Sol Pro: —
Scores from Artificial Analysis, updated Oct 26, 2026. GPT 5 Mini was tested at high reasoning effort; compare scores measured at the same effort.Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Prompt cache hits
- 22.1%
- About $0.20 per 1M input tokens with caching
- Request success (24h)
- 100.0%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-5-mini",
"reasoning_effort": "medium",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="openai/gpt-5-mini",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
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