Head-to-Head Model Comparison

GPT-Realtime-2.1 vs SeedRealtime

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs 연구팀 검토 완료최종 검토일: October 2026편집 정책

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GPT-Realtime-2.1Profile

SeedRealtimeProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

OpenAI

GPT-Realtime-2.1

네이티브 음성 및 오디오 모델

OpenAI의 GPT-Realtime-2.1 모델은 자연스러운 음성 합성(TTS), 실시간 오디오 처리 및 고정밀 음성 인식에 최적화된 AI 모델로, 128K 컨텍스트 윈도우, 초당 90 토큰의 생성 속도, 종합 지능 지수 65/100점(1M 토큰당 입력 $32 / 출력 $64)을 제공합니다.

Intelligence Index65 / 100

Input Token:

$32.00 / 1M

Output Token:

$64.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

62%

ByteDance

SeedRealtime

네이티브 음성 및 오디오 모델

ByteDance의 SeedRealtime 모델은 자연스러운 음성 합성(TTS), 실시간 오디오 처리 및 고정밀 음성 인식에 최적화된 AI 모델로, 128K 컨텍스트 윈도우, 초당 120 토큰의 생성 속도, 종합 지능 지수 83/100점(1M 토큰당 입력 $0.5 / 출력 $2)을 제공합니다.

Intelligence Index83 / 100

Input Token:

$0.50 / 1M

Output Token:

$2.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

한눈에 보는 핵심 차이점

SeedRealtime is 42.1x cheaper for API usage (input + output tokens combined).
SeedRealtime is faster at 120 tok/s vs 90 tok/s.

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	GPT-Realtime-2.1	SeedRealtime
Intelligence Index Composite reasoning & knowledge score (0-100)	65	83
Provider	OpenAI	ByteDance
Input Price Cost per million input tokens	$32.00 / 1M	$0.50 / 1M
Output Price Cost per million output tokens	$64.00 / 1M	$2.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$15.04 / 1M	$0.34 / 1M
Context Window Maximum input + output tokens	128K tokens~192 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	33K	8K
Throughput Speed Tokens generated per second	90 tok/s	120 tok/s
SWE-bench Verified Real-world software engineering	62%	N/A
GPQA Diamond Graduate-level reasoning	70%	N/A
Cached Input Price Prompt caching discount per 1M tokens	$3.20 / 1M	$0.05 / 1M

부문별 우위 모델

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

SeedRealtime

42.1x cheaper monthly runtime

Speed

SeedRealtime

+33% faster generation

Context

Tied

128K tokens window

검증된 벤치마크 점수 비교

Official evaluation metrics verified by independent third-party research labs.

GPT-Realtime-2.1SeedRealtime

SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

62%vsN/A

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

70%vsN/A

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

83%vs78.5%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1350ptsvs1335pts

Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

10.8%vsN/A

Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

38%vsN/A

SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

36.5%vsN/A

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

62%vsN/A

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

86.5%vsN/A

Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

74%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

90 tok/s vs120 tok/s

지연 시간(Latency) 및 응답 속도

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

GPT-Realtime-2.10.32s

SeedRealtime0.28s

Est. End-to-End Response (500 tokens)TTFT + generation time

GPT-Realtime-2.15.88s

SeedRealtime4.45s

실시간 API 토큰 비용 시뮬레이터

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

GPT-Realtime-2.1 Monthly API Bill

$110.40 / month

$32/1M in · $64/1M out

SeedRealtime Monthly API Bill

$2.63 / month

$0.5/1M in · $2/1M out

SeedRealtime saves approximately $107.78 / month (98%) under this workload.42.1x Savings

GPT-Realtime-2.1 · Strengths & Key Advantages

128K 컨텍스트 윈도우 및 최대 33K 출력 토큰 생성 지원 (SWE-bench Verified 62% · GPQA Diamond 70%)
초당 90 토큰의 빠른 처리 속도와 320ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $32 / 출력 $64)와 프롬프트 캐싱, 함수 호출 및 정형화된 JSON 출력 완벽 지원

Considerations & Trade-offs

독점 클라우드 전용 모델로 로컬 오프라인 서버에 가중치를 다운로드하여 실행할 수 없습니다
대규모 프로덕션 호출 환경에서는 비용 절감을 위해 프롬프트 캐싱과 배치 API(Batch API) 활용이 권장됩니다

SeedRealtime · Strengths & Key Advantages

128K 컨텍스트 윈도우 및 최대 8K 출력 토큰 생성 지원 (MMLU-Pro 78.5% · Arena Elo 1335)
초당 120 토큰의 빠른 처리 속도와 280ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $0.5 / 출력 $2)와 프롬프트 캐싱, 함수 호출 및 정형화된 JSON 출력 완벽 지원

Considerations & Trade-offs

독점 클라우드 전용 모델로 로컬 오프라인 서버에 가중치를 다운로드하여 실행할 수 없습니다
초고난도 학술 연구 및 수학 증명 과제에서는 상위 대형 추론 특화 모델이 더 깊은 분석을 제공할 수 있습니다

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	GPT-Realtime-2.1	SeedRealtime
Cost per Task Estimated USD to finish one task	$6.66	$0.12
Output Tokens / Task Tokens generated per task	26K	16K
Reasoning Tokens / Task Thinking tokens burned per task	14K	4K

기술 사양 (Specifications)

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-Realtime-2.1	SeedRealtime
Official API Model ID (SDK)	gpt-realtime-2-1	seedrealtime
API Protocol	OpenAI Responses API & Chat Completions v1	ByteDance REST API (OpenAI-Compatible)
Release Date	2026-07	2026-08
Knowledge Cutoff	February 2026	June 2026
Architecture	Real-time speech-to-speech multimodal transformer	Native Audio-Visual Full-Duplex Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($32/1M in) across full 128K window	Flat rate ($0.5/1M in) across full 128K window
Prompt Cache Policy & TTL	Automatic prefix caching at $3.2/1M (no extra cache-write fee)	Cached input at $0.05/1M tokens
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Native Web Search tool + Hosted Code Interpreter & File Search RAG	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)	API Prompt Engineering & RAG Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Audio (~25–32 tokens/sec)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)
Quantization & Min GPU VRAM	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier Classification	OpenAI Preparedness Framework Audited & System Card Published	ByteDance Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	audio, text	text, vision, audio
Output Modalities	audio, text	text, audio

GPT-Realtime-2.1 vs SeedRealtime: 핵심 요약 문답 (FAQ)

Which is more intelligent, GPT-Realtime-2.1 or SeedRealtime?

SeedRealtime is more intelligent. It scores 83 compared with 65 on the composite Intelligence Index.

Which model is faster?

SeedRealtime is faster, generating 120 tokens per second compared with 90 tokens per second.

Which model is cheaper to run?

SeedRealtime is cheaper at $0.34 per 1M tokens blended, compared with $15.04 (7:2:1 cache:input:output ratio).

Which model has lower latency?

SeedRealtime has lower latency, with a time to first token of 0.28s compared with 0.32s.

종합 평가

GPT-Realtime-2.1(자연스러운 음성 합성(TTS), 실시간 오디오 처리 및 고정밀 음성 인식, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.)와 SeedRealtime(자연스러운 음성 합성(TTS), 실시간 오디오 처리 및 고정밀 음성 인식, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.) 모두 뛰어난 성능을 자랑합니다. 고난도 추론과 코딩 벤치마크에서는 SeedRealtime가 앞서며, 토큰 생성 속도에서는 SeedRealtime가 빠르고, 대규모 API 운영 비용 면에서는 SeedRealtime가 더 경제적입니다.

자주 묻는 질문 (FAQ)

코딩과 복잡한 추론에는 GPT-Realtime-2.1와 SeedRealtime 중 어느 모델이 더 나은가요?+

종합 지능 지수 및 코딩 벤치마크에서는 SeedRealtime가 우위를 보입니다. 상단의 SWE-bench 및 GPQA 점수를 함께 확인해 보세요.

GPT-Realtime-2.1와 SeedRealtime의 API 요금 차이는 얼마인가요?+

GPT-Realtime-2.1는 100만 토큰당 입력 $32.00 / 출력 $64.00이며, SeedRealtime는 입력 $0.50 / 출력 $2.00입니다. 혼합 비용 기준으로는 SeedRealtime가 더 저렴합니다.

어느 모델이 더 큰 컨텍스트 윈도우와 빠른 속도를 제공하나요?+

컨텍스트 길이는 GPT-Realtime-2.1가 128K 토큰, SeedRealtime가 128K 토큰를 지원하며, 출력 속도 면에서는 SeedRealtime가 더 빠릅니다.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

GPT-Realtime-2.1 vs SeedRealtime

원하는 AI 모델 선택 및 실시간 비교

GPT-Realtime-2.1

SeedRealtime

부문별 우위 모델

검증된 벤치마크 점수 비교

지연 시간(Latency) 및 응답 속도

실시간 API 토큰 비용 시뮬레이터

GPT-Realtime-2.1 · Strengths & Key Advantages

Considerations & Trade-offs

SeedRealtime · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

기술 사양 (Specifications)

GPT-Realtime-2.1 vs SeedRealtime: 핵심 요약 문답 (FAQ)

종합 평가

자주 묻는 질문 (FAQ)

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