Official API Model ID (SDK String): gpt-realtime-whisper
Supported SDK & API Protocol: OpenAI Responses API & Chat Completions v1
Lifecycle & Deprecation Status: Active GA (Guaranteed support through 2028+)
Production Rate Limits (RPM & TPM): 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Pricing Tier (>128K / >200K): Flat rate ($0.006/1M in) across full 0K window
Prompt Cache Write & TTL Policy: Automatic prefix caching at $0/1M (no extra cache-write fee)
Computer Use & Browser GUI Agent: Text-only completion (No GUI action loop)
MCP & Parallel Tool Calling: Prompt-based JSON extraction only
Web Search Grounding & Code Sandbox: Native Web Search tool + Hosted Code Interpreter & File Search RAG
Fine-Tuning & Distillation Support: Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Tokenization Billing: Text BPE (~4 chars/token) · Audio (~25–32 tokens/sec)
Weights Precision & Quantization: Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster)
Minimum GPU VRAM Requirement: Zero Local VRAM Required (100% Serverless Cloud API)
Supported Inference Engines: Managed OpenAI Cloud API
System Card & Safety Framework: OpenAI Preparedness Framework Audited & System Card Published
Enterprise Compliance (SOC2 / HIPAA / ZDR): SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier

Engineering & Pricing Workbench

GPT Realtime Whisper Cost, Context, Hardware & API Integration

Daily API Requests:500 / day

Avg Input Tokens per Request:4,000 tok

Avg Output Tokens per Request:1,000 tok

Conversation Depth (History Re-billing):1 Turn (Single-Shot)

Prompt Cache Hit Rate:($0/1M cached)50%

Estimated Monthly API Cost (30 Days)

$0.18$0.36

Monthly Savings: $0.18 (Caching/Batch)

Daily Cost:: $0.01
Cost per Request:: $0.00001
Effective Input / 1M:: $0.003
Effective Output / 1M:: $0.000

Subscription ($20/mo) vs API

Pay-as-you-go API is cheaper for this volume (saves $19.82/mo vs $20 flat plan).

Break-even point: ~55,556 requests/day equals $20/month.

Same Monthly Workload Cost Across Popular Reference Models

GPT Realtime Whisper (Active)

$0.18

/ month

Gemini 2.5 Flash

$18.00

/ month

DeepSeek V3

$32.70

/ month

GPT-4o

$300.00

/ month

Claude 3.7 Sonnet

$405.00

/ month

Live Prompt Paste Tokenizer & Cost Counter

Paste real system instructions, JSON schemas, or code to measure BPE token counts across tokenizers.

Chars / Words

175 / 24

OpenAI o200k

~46 tok

Claude BPE

~49 tok

Llama / DeepSeek

~51 tok

Hybrid Prompt Routing Cascade Simulator

Route routine queries to a fast lightweight model ($0.15/1M) and escalate only complex reasoning turns to GPT Realtime Whisper:

Cascaded Monthly Bill:$13.54/mo

This model is already priced at or below the fast router baseline.

Benchmark Scores & 6-Axis Capability Radar

Benchmark Encyclopedia

GPT Realtime Whisper2026 Frontier Median

SWE-bench Verified: 36%
GPQA Diamond: 46%
MMLU-Pro: 66%
HumanEval: 82.5%
Humanity's Last Exam: 5.5%
Terminal-Bench: 23%
SciCode: 24.5%
LiveCodeBench: 39%
AIME: 46%
Long-Context Reasoning: 61%
Chatbot Arena Elo: 1255pts

Strengths

由 OpenAI 研发的高精度 Streaming speech-to-text transformer 架构，支持 448 上下文窗口
极具竞争力的 API 定价（输入 $0.006/1M，输出 $0/1M），支持高速推理与工具调用
在代码生成、逻辑推理与多语言处理基准测试中表现出色

Limitations & Trade-offs

超长上下文请求需要规划 Token 成本与并发配额
针对特定垂直领域任务建议结合系统提示词与检索增强（RAG）以获得最佳效果

Editorial Assessment

GPT Realtime Whisper 是 OpenAI 旗下极具代表性的模型，在性能、速度与 API 成本之间实现了卓越平衡。

Best for: 企业级 AI 自动化、代码研发、智能体（Agent）工作流以及 OpenAI 生态深度集成

Compare GPT Realtime Whisper

GPT Realtime Whisper vs Gemini 3.5 Live Translate GPT Realtime Whisper vs Whisper Large v3 Turbo GPT Realtime Whisper vs Gemini 4 Argon GPT Realtime Whisper vs Claude Opus 5.5 GPT Realtime Whisper vs Llama 5 GPT Realtime Whisper vs Kimi K3

Frequently Asked Questions about GPT Realtime Whisper

How much does the GPT Realtime Whisper API cost per 1M tokens?+

GPT Realtime Whisper by OpenAI is priced at $0.006 per 1M input tokens and $0 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.

Should I use a $20/month subscription or the GPT Realtime Whisper pay-as-you-go API?+

A flat $20/month consumer subscription is predictable for daily interactive chat and manual coding. However, if you are building software, running automated workflows, or sending low-to-moderate volume with prompt caching enabled, the pay-as-you-go API is typically far more cost-effective and offers higher rate limits without manual UI caps.

How many words and pages fit in GPT Realtime Whisper's context window?+

GPT Realtime Whisper features a 0K tokens context window, which equals approximately 336 English words or ~1 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 448 tokens.

Can I run GPT Realtime Whisper locally on my own GPU (Open Weights)?+

No, GPT Realtime Whisper is a proprietary closed-weights model hosted by OpenAI. It cannot be downloaded for local GPU execution and must be accessed via OpenAI's official API or cloud platform.

Does OpenAI train on data sent to the GPT Realtime Whisper API, and is commercial use allowed?+

API payloads are excluded from model training by default. License tier: Proprietary Commercial API (OpenAI Terms). Full commercial ownership of generated outputs. Supported deployment channels include: OpenAI Platform API, Microsoft Azure OpenAI Foundry.

How does GPT Realtime Whisper perform on coding and reasoning benchmarks?+

GPT Realtime Whisper achieves a composite Intelligence Index of 44/100, scoring 36% on SWE-bench Verified, 46% on GPQA Diamond, 66% on MMLU-Pro, and 1255 pts on Chatbot Arena Elo.

What is GPT Realtime Whisper best used for?+

GPT Realtime Whisper is best suited for: 企业级 AI 自动化、代码研发、智能体（Agent）工作流以及 OpenAI 生态深度集成. Assessment: GPT Realtime Whisper 是 OpenAI 旗下极具代表性的模型，在性能、速度与 API 成本之间实现了卓越平衡。

OpenAI Family Lineage, Routing Tiers & Upgrade Path

Step down to a lighter sibling for high-volume routing or step up to OpenAI's flagship reasoning tier:

Higher-Intelligence Upgrade2026-09

AI Glossary & Architecture Concepts

View full glossary →

Key machine learning concepts and benchmarks relevant to GPT Realtime Whisper:

Token

The basic unit of text that a language model processes, typically representing about 3 to 4 English characters or roughly 0.75 words. For example, the sentence "Artificial intelligence is fast" breaks down into about 5 tokens.

Benchmark

A standardized evaluation suite used to objectively measure and rank an AI model's capabilities across specific tasks — such as SWE-bench Verified for software engineering, AIME for competitive math, or MMLU for general knowledge.

Context Window

The maximum number of tokens a model can consider at once — both the input it reads and the output it writes. A 1,000,000-token context window can hold roughly 750,000 English words in a single request.

Transformer

The neural network architecture introduced in 2017 that powers modern LLMs, using self-attention mechanisms to process all tokens in a sequence concurrently rather than sequentially.

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Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

数据来源: OpenAI Official Pricing & Technical Reports (Late 2026)↗

GPT Realtime Whisper

Technical Specifications

Data Privacy, Licensing & Deployment Governance

Official Provider Release Intelligence, API Quotas & Agentic Specs