gpt-5GPT-5
OpenAI's frontier — strong reasoning, broad knowledge, fast tool use
GPT-5 is OpenAI's frontier model — strong general reasoning, excellent multimodal support, and the broadest world-knowledge cutoff in the lineup. The default choice for OpenAI-native stacks and the strongest model on most knowledge-recall benchmarks. Pairs naturally with the OpenAI Responses API and Realtime API.
Pricing
| Rate | List price | Anvat effective | Savings |
|---|---|---|---|
| Input | $10.00 | $7.00 | 30% |
| Output | $30.00 | $21.00 | 30% |
| Cache read | $2.50 | $1.75 | 30% |
| All prices per million tokens (MTok). List = provider direct. Anvat effective = 30% discount applied. | |||
Pricing verified 2026-06 · See full Anvat pricing
Strengths
- Strongest world-knowledge benchmark scores in 2026
- Native multimodal — text, vision, audio in one model
- Excellent function-calling reliability
- Wide ecosystem — works out of the box with OpenAI SDK, Vercel AI SDK, LangChain
- Strong on math and structured reasoning
Where it underperforms
- More expensive than Claude Sonnet 4.6 for similar coding-quality tasks
- Output speed slightly slower than Claude Sonnet in long generations
- Less aggressive prompt caching than Anthropic models
Use cases this model is the right pick for
- OpenAI-native applications (Responses, Realtime, Assistants)
- Multimodal workflows (vision + text together)
- Function calling in production stacks
- Math, science, and structured reasoning
- Customer chat with broad world knowledge
Benchmarks
reasoning
MMLU / general knowledge
Industry-leading
vision
Multimodal (vision)
Top-tier
agentic
Function calling
Excellent
Benchmark numbers self-reported by provider; verify against the latest publisher documentation before quoting.
Quickstart
Same wire format as direct provider APIs — your existing SDK code keeps working. Point at api.anvat.app/v1 and use your Anvat key.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.anvat.app/v1",
apiKey: process.env.ANVAT_API_KEY,
});
const response = await client.chat.completions.create({
model: "gpt-5",
messages: [
{ role: "user", content: "Walk me through the proof of Fermat's little theorem." },
],
});Try GPT-5 — 30% off list
Same model, same quality, same wire format — at the discounted Anvat effective rate. $2 free credit on signup, no card required.
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Use cases
Claude Code, Cursor, coding agents, RAG setup guides
Anvat pricing
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