- Instruction Following
ERNIE 4.5 21B A3B Thinking is Baidu’s upgraded lightweight MoE language model optimized for deep reasoning, with a context window around 131K tokens and competitive pricing…
Powered by ~Openai
OpenAI GPT Latest
- Instruction Following
OpenAI GPT Latest is a cloud-based large language model endpoint offered by OpenAI that always routes to the most recent generally available GPT model. It is designed to give developers and users up-to-date capabilities without manually tracking individual model version names.
Providers Comparison
Speed
Output tokens per second · Higher is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
End-to-End Response Time
Seconds · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
Price
USD per 1M tokens (blended) · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
About the model
What is OpenAI GPT Latest?
OpenAI GPT Latest is an alias-style model entry from OpenAI that automatically points to the newest stable GPT model in their production lineup. It is mainly used by developers who want to keep applications on a current, supported GPT generation without regularly updating model IDs. It is also used in tools and integrations where maintaining the latest capabilities (reasoning, coding, and language understanding) is more important than pinning a specific version. It belongs to the GPT family of models from OpenAI and conceptually follows earlier versioned models like GPT-3.5 and GPT-4 while abstracting over their specific names.
Model capabilities
5 Core Capabilities
-
Advanced Chat
Engages in multi-turn conversations, follows complex instructions, and maintains context to assist with diverse tasks and questions.
-
Image Capabilities
Analyzes images to identify objects, scenes, text, and visual details, supporting reasoning and description based on visual input.
-
Text Translation
Translates between many languages, preserving meaning and tone while handling informal language, idioms, and technical terminology.
-
Code Assistance
Helps write, understand, and debug code in multiple programming languages, explaining logic and suggesting improvements or fixes.
-
Image Text Extraction
Reads and extracts text from images such as documents, screenshots, and signs for further processing or analysis.
Use cases
6 Most Valuable Use Cases
- General AI Chatbot
- Invoice Data Extraction
- Legal Case Summarization
- Regulation Change Monitoring
- E-commerce Product Assistant
- Code Generation Helper
Transparent pricing
Cost Comparison
Save up to ~70% vs comparable GPT-4-level APIs with LLM API.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | 120ms | 120 tps | 99.99% | $0.40 | $0.80 | 200K |
| OpenAI | Global | ~300ms | ~60 tps | 99.9% | $2.50 | $10.00 | 128K |
| Azure OpenAI | US East | ~320ms | ~55 tps | 99.9% | ~$2.60 | ~$10.50 | 128K |
| Google Cloud (Gemini 1.5 Pro equivalent) | Global | ~350ms | ~50 tps | 99.9% | ~$3.50 | ~$10.50 | 128K |
| Anthropic (Claude 3.5 Sonnet equivalent) | Global | ~320ms | ~45 tps | 99.9% | ~$3.00 | ~$15.00 | 200K |
Performance benchmarks
Technical Specifications
| Metric | OpenAI GPT Latest | Anthropic Claude 3.5 Sonnet | Google Gemini 1.5 Pro |
|---|---|---|---|
| Avg Latency | ~180ms | ~220ms | ~250ms |
| Context Window | 128K | 200K | 1M |
| Input Price ($/1M) | $2.50 | $3.00 | $3.50 |
| Output Price ($/1M) | $15.00 | $15.00 | $10.50 |
| Max Output Tokens | 4K | 4K | 8K |
| Throughput | ~100 tps | ~60 tps | ~70 tps |
| Uptime | 99.9% | 99.5% | 99.5% |
30-day usage via LLM API
- 1.8T
- Prompt tokens processed (last 30 days)
- 320B
- Completion tokens generated (last 30 days)
- 260M
- API requests served (last 30 days)
- 99.98%
- Average uptime (last 30 days)
Architecture & Integration
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
-
Unified AI Routing
Intelligently route each request across models and providers based on latency, cost, or quality. One endpoint, pluggable policies, no client rewrites.
One endpoint, any model -
Cost-Aware Orchestration
Optimize spend with per-call price controls, dynamic model selection, and usage caps. Ship fast while keeping your AI bill predictable and auditable.
Control cost, not velocity -
Resilient Fallbacks
Define automatic failover chains when models error, throttle, or degrade. Stay online across providers without custom retry logic in every service.
Fail soft, stay live -
Deep Observability
Get end-to-end traces, metrics, and logs per request, model, and tenant. Debug latency, errors, and quality issues from a single pane.
See every token -
Task-Level Abstractions
Call high-level tasks like chat, tools, embeddings, or rerank without wiring provider-specific payloads. Swap models without touching your application code.
Code to tasks, not vendors -
High-Throughput Batch
Run massive workloads via optimized batch APIs with concurrency controls, retries, and cost tracking. Process millions of items efficiently across providers.
Scale jobs, not ops
Decision guide
When to Use — When NOT to Use
Use it if...
- You need strong general-purpose reasoning, coding, and writing without tuning multiple specialized models.
- You need up-to-date web-grounded answers about news, products, or changing information.
- Your use case involves building a chat-style assistant with natural, helpful multi-turn conversation.
- Your use case involves rapid prototyping where you want OpenAI’s best current capabilities.
- You need good performance across text, code, and simple data analysis in one model.
- Your use case involves English-first applications where default behavior and examples target English users.
Avoid if...
- You need strict, predictable latency and throughput guarantees for hard real-time production systems.
- Your workload requires fully on-premise deployment with no dependencies on external APIs.
- You need a fixed, versioned model snapshot whose behavior never changes over time.
- Your workload requires absolute minimization of per-token cost using the smallest possible models.
- You need complete transparency into model weights, architecture, and training data for research.
- Your workload requires fine-grained, low-level control over inference stack and hardware execution.
FAQ
Frequently Asked Questions
-
What is OpenAI GPT Latest?
OpenAI GPT Latest is ~Openai’s most recent general-purpose large language model, accessible via the LLM.API unified gateway.
-
What is OpenAI GPT Latest best suited for?
OpenAI GPT Latest is best for high-quality natural language tasks like coding assistance, complex reasoning, content generation, and multi-step agents via tools.
-
How is OpenAI GPT Latest priced when called through LLM.API?
OpenAI GPT Latest pricing is determined by LLM.API’s routing layer, which abstracts provider-specific token costs into its own metering and billing.
-
What context window does OpenAI GPT Latest support?
OpenAI GPT Latest supports a long context window suitable for multi-thousand-token prompts and responses; check LLM.API docs for the exact current limit.
-
Which modalities does OpenAI GPT Latest support via LLM.API?
Through LLM.API, OpenAI GPT Latest supports text input and output, with optional tool calling; check documentation for current image or audio support status.
-
How fast is OpenAI GPT Latest when accessed through LLM.API?
Latency for OpenAI GPT Latest depends on provider load and LLM.API routing overhead but typically returns first tokens within a few seconds.
-
How do I call OpenAI GPT Latest from the LLM.API platform?
In LLM.API, set the model field to "OpenAI GPT Latest" (or equivalent identifier) and include your request body as with any chat completion.
-
How does OpenAI GPT Latest compare to other OpenAI models on LLM.API?
OpenAI GPT Latest generally offers stronger reasoning and instruction-following than earlier GPT models, at similar or slightly higher effective token cost.
-
What are the main limitations of OpenAI GPT Latest?
OpenAI GPT Latest can hallucinate facts, lacks real-time internet access by default, and may reflect training-data biases despite safety tuning.
-
Does OpenAI GPT Latest support tools or function calling through LLM.API?
Yes, OpenAI GPT Latest can be used with LLM.API’s tool or function-calling interface to trigger external APIs and structured workflows.
Compare
Competitive Models
- Instruction Following
DeepSeek V4 Flash (free) is an open-source, efficiency-optimized Mixture-of-Experts language model from DeepSeek, offering a 1M-token context window with only 13B parameters activated per token out…
- Instruction Following
Claude Opus 4.8 (Fast) is Anthropic’s flagship Claude Opus 4.8 model running in a special fast mode that delivers significantly higher output token throughput at premium…