GetInfoUs
OpenAI

GPT-Realtime-2.1

Vérifié par l’équipe de recherche de GetInfoUsDernière révision : October 2026Politique éditoriale
Agent vocalOfficial Source Verified ↗
65
Intelligence Index

un en temps réel parole-à-parole modèle avec configurable raisonnement, utilisation d'outils et solide voix-agent behaviour.

Input / Output
$32 / $64
per 1M tokens
Context
128K tokens
window
Speed
90
tok/s
Latency
0.32s
TTFT

Technical Specifications

Provider
OpenAI
Category
flagship
Release Date
2026-07
Knowledge Cutoff
February 2026
Architecture
Real-time speech-to-speech multimodal transformer
Parameters
Confidential
Context Window
128K tokens
Max Output
33K tokens
Cached Input Price
$3.2 / 1M tokens
Batch API Discount
50% off async batch
Consumer Subscription
$20 / month
Reasoning Mode
Yes (Chain-of-Thought)
Reasoning Effort Control
Configurable (Low / Med / High)
Tool Calling
Yes
Structured Outputs
No
Open Weights
No (Proprietary Cloud)
Input Modalities
audio, text
Output Modalities
audio, text
Official Documentation
Visit Official Docs ↗

Data Privacy, Licensing & Deployment Governance

API Data Training Policy
API payloads are excluded from model training by default
Model License & Commercial Rights
Proprietary Commercial API (OpenAI Terms)
Deployment & Cloud Availability
OpenAI Platform API, Microsoft Azure OpenAI Foundry
Output Ownership
Full commercial ownership of generated outputs

Official Provider Release Intelligence, API Quotas & Agentic Specs

Compare Multi-Models Side-by-Side →
Official API Model ID (SDK String)
gpt-realtime-2-1
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 ($32/1M in) across full 128K window
Prompt Cache Write & TTL Policy
Automatic prefix caching at $3.2/1M (no extra cache-write fee)
Computer Use & Browser GUI Agent
API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool Calling
Native MCP Client/Server ready · Parallel function calling
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-2.1 Cost, Context, Hardware & API Integration

500 / day
4,000 tok
1,000 tok
Conversation Depth (History Re-billing):1 Turn (Single-Shot)
50%
Estimated Monthly API Cost (30 Days)
$2,016.00$2,880.00
Monthly Savings: $864.00 (Caching/Batch)
Daily Cost:
$67.20
Cost per Request:
$0.13440
Effective Input / 1M:
$17.600
Effective Output / 1M:
$64.000
Subscription ($20/mo) vs API

For single-user chat, a $20/mo subscription caps your bill below this API volume.

Break-even point: ~5 requests/day equals $20/month.

Same Monthly Workload Cost Across Popular Reference Models

GPT-Realtime-2.1 (Active)
$2,016.00
/ 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-2.1:

Cascaded Monthly Bill:$517.50/mo
Saves $1498.50/mo (74% cost reduction) vs sending 100% of traffic to GPT-Realtime-2.1.

Benchmark Scores & 6-Axis Capability Radar

Benchmark Encyclopedia
Coding (71)Reasoning (81)Knowledge (83)Speed (60)Context (75)Cost Value (44)
GPT-Realtime-2.12026 Frontier Median
SWE-bench Verified
62%
GPQA Diamond
70%
MMLU-Pro
83%
HumanEval
92.5%
Humanity's Last Exam
10.8%
Terminal-Bench
38%
SciCode
36.5%
LiveCodeBench
62%
AIME
86.5%
Long-Context Reasoning
74%
Chatbot Arena Elo
1350pts

Strengths

  • faible-latence parole-à-parole conversation
  • Configurable raisonnement et en direct outil calls moyen-conversation
  • Natural interruption handling pour voix agents
  • Handles barge-dans et interruptions naturally

Limitations & Trade-offs

  • limité 128K fenêtre de contexte versus texte-premier modèles
  • audio token tarification est élevé pour long sessions

Editorial Assessment

le production choice pour conversationnel voix agents.

Best for: en temps réel voix agents, call automatisation et en direct assistants

Compare GPT-Realtime-2.1

GPT-Realtime-2.1 vs SeedRealtimeGPT-Realtime-2.1 vs Nemotron VoiceChatGPT-Realtime-2.1 vs Qwen-Omni TurboGPT-Realtime-2.1 vs Gemini 4 ArgonGPT-Realtime-2.1 vs GPT-6 AstraGPT-Realtime-2.1 vs Claude Opus 5.5GPT-Realtime-2.1 vs GPT-6.1 Sol

Frequently Asked Questions about GPT-Realtime-2.1

How much does the GPT-Realtime-2.1 API cost per 1M tokens?+

GPT-Realtime-2.1 by OpenAI is priced at $32 per 1M input tokens and $64 per 1M output tokens. With prompt caching enabled, cached input tokens cost $3.2 per 1M tokens, and asynchronous Batch API requests receive a 50% discount.

Should I use a $20/month subscription or the GPT-Realtime-2.1 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-2.1's context window?+

GPT-Realtime-2.1 features a 128K tokens context window, which equals approximately 96,000 English words or ~256 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 32,768 tokens.

Can I run GPT-Realtime-2.1 locally on my own GPU (Open Weights)?+

No, GPT-Realtime-2.1 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-2.1 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-2.1 perform on coding and reasoning benchmarks?+

GPT-Realtime-2.1 achieves a composite Intelligence Index of 65/100, scoring 62% on SWE-bench Verified, 70% on GPQA Diamond, 83% on MMLU-Pro, and 1350 pts on Chatbot Arena Elo.

What is GPT-Realtime-2.1 best used for?+

GPT-Realtime-2.1 is best suited for: en temps réel voix agents, call automatisation et en direct assistants. Assessment: le production choice pour conversationnel voix agents.

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

GPT-6 Astra

$10 / $50 · 272K tokensIQ 96
Fast Router / Budget Tier2026-09

GPT-6.1 Sol

$2 / $10 · 1M tokensIQ 94
Fast Router / Budget Tier2026-09

GPT-6 Sol

$2 / $10 · 1M tokensIQ 93
Fast Router / Budget Tier2026-09

GPT-6 Luna

$0.1 / $0.5 · 272K tokensIQ 67
Fast Router / Budget Tier2026-07

GPT-5.6 Sol

$4 / $20 · 1.1M tokensIQ 89
Fast Router / Budget Tier2026-07

GPT-5.6 Terra

$2 / $10 · 1.1M tokensIQ 85

AI Glossary & Architecture Concepts

View full glossary →

Key machine learning concepts and benchmarks relevant to GPT-Realtime-2.1:

Jeton (Token)

L'unité textuelle de base traitée par un modèle linguistique, représentant généralement 3 à 4 caractères ou environ 0,75 mot. Par exemple, une phrase courante est découpée en plusieurs jetons.

Benchmark (Banc d’essai)

Une suite de tests standardisés permettant d'évaluer et de comparer objectivement les performances des modèles d'IA sur des tâches ciblées (code avec SWE-bench, mathématiques avec AIME, etc.).

Fenêtre de contexte

Le nombre maximal de jetons qu'un modèle peut traiter simultanément (entrée et sortie comprises). Une fenêtre de 1 000 000 jetons permet d'analyser environ 750 000 mots en une seule requête.

Modèle de raisonnement

Un modèle d'IA entraîné par apprentissage par renforcement pour allouer du temps de calcul à la réflexion logique avant d'émettre une solution, idéal pour les problèmes scientifiques et le code complexe.

Chaîne de pensée (CoT)

Une méthode de raisonnement pas-à-pas où le modèle décompose le problème en étapes logiques intermédiaires avant de conclure, augmentant drastiquement la précision en mathématiques et programmation.

Appel d'outils (Tool Calling)

La capacité d'un LLM à déterminer quand une action externe est requise et à générer des arguments structurés pour invoquer des API, calculatrices ou bases de données avant de poursuivre.

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Les scores de benchmarks, tarifs par token et limites évoluent rapidement. Vérifiez toujours les spécifications actuelles sur la documentation officielle du fournisseur.

Sources: OpenAI Official Pricing & Technical Reports (Late 2026)↗