LLM Reference

GPT-5 Chat

Released
2025-10-01
Last refreshed
2026-06-29
Status
Researched 135d ago
ProprietaryCommercial use: conditionalMultimodalRAGAgentsLong contextVisionJSON / Tool use

GPT-5 Chat is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 128k context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Family
GPT-5
Released
2025-10-01
Context
128k
Architecture
Decoder Only
Knowledge cutoff
2024-09
Specialization
general
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Weights
Not released
Code
Unknown
Training
Pretrained
Created by

Cutting-edge research and development.

San Francisco, California, United States
Founded 2015
Website
Pricing
Output / 1M
$10.00
Input / 1M
$1.25

Cheapest of 2 routes · OpenRouter · cache read $0.130

About

GPT-5 Chat is OpenAI's conversational variant of GPT-5 designed for advanced multimodal, context-aware enterprise conversations at 128K context.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
OpenRouter$1.25$10.00read $0.130
Serverless
Vercel AI Gateway$1.25$10.00read $0.125
Serverless

Capabilities

VisionMultimodalJSON / Tool useStructured Outputs

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.