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Head-to-Head Model Comparison

GPT Realtime Whisper vs Whisper Large v3 Turbo

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
GPT Realtime Whisper vs Whisper Large v3 Turbo: Benchmarks, Pricing & Speed Comparison

OpenAI tarafından geliştirilen GPT Realtime Whisper ve OpenAI tarafından sunulan Whisper Large v3 Turbo, kendi sınıflarının öne çıkan yapay zeka modelleridir. GPT Realtime Whisper, 448 token bağlam penceresi ve 1M token başına $0.01/$0.00 fiyat sunarken; Whisper Large v3 Turbo, 448 token bağlam penceresi ve $0.00/$0.00 fiyatla gelir. Aşağıda tüm benchmark, hız ve maliyet detaylarını inceleyebilirsiniz.

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OpenAI

GPT Realtime Whisper

Yerel Ses ve Konuşma Modeli

OpenAI tarafından geliştirilen GPT Realtime Whisper; doğal ses sentezi, gerçek zamanlı ses işleme ve konuşma metne dönüştürme için tasarlanmış olup 0K bağlam penceresi, 140 token/sn hız, 44/100 zeka indeksi ve 1M token başına $0.006/$0 fiya

Intelligence Index44 / 100
Input Token:

$0.01 / 1M

Output Token:

$0.00 / 1M

Context Window:

448 tokens

SWE-bench Verified:

36%

OpenAI

Whisper Large v3 Turbo

Yerel Ses ve Konuşma Modeli

OpenAI tarafından geliştirilen Whisper Large v3 Turbo; doğal ses sentezi, gerçek zamanlı ses işleme ve konuşma metne dönüştürme için tasarlanmış olup 0K bağlam penceresi, 180 token/sn hız, 42/100 zeka indeksi ve 1M token başına $0.0006/$0 f

Intelligence Index42 / 100
Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

448 tokens

SWE-bench Verified:

36%

Bir Bakışta Temel Farklar

  • Whisper Large v3 Turbo is 10.0x cheaper for API usage (input + output tokens combined).
  • Whisper Large v3 Turbo is faster at 180 tok/s vs 140 tok/s.
  • Whisper Large v3 Turbo leads on SWE-bench coding (36.0% vs 36.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGPT Realtime WhisperWhisper Large v3 Turbo
Intelligence Index
Composite reasoning & knowledge score (0-100)
4442
Provider
OpenAIOpenAI
Input Price
Cost per million input tokens
$0.01 / 1M$0.00 / 1M
Output Price
Cost per million output tokens
$0.00 / 1M$0.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.00 / 1M$0.00 / 1M
Context Window
Maximum input + output tokens
448 tokens~1 A4 pages of text448 tokens~1 A4 pages of text
Max Output Tokens
Per single request
0K0K
Throughput Speed
Tokens generated per second
140 tok/s180 tok/s
SWE-bench Verified
Real-world software engineering
36%36%
GPQA Diamond
Graduate-level reasoning
46%46%

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework
Coding
Whisper Large v3 Turbo
+0.0% SWE-bench lead
Cost
Whisper Large v3 Turbo
10.0x cheaper monthly runtime
Speed
Whisper Large v3 Turbo
+29% faster generation
Context
Tied
448 tokens window

Doğrulanmış Benchmark Puanları

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

GPT Realtime WhisperWhisper Large v3 Turbo
SWE-bench Verified (Autonomous Coding)

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

36%vs36%
GPQA Diamond (Doctorate-Level Science & Math)

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

46%vs46%
MMLU-Pro (Multi-task Language Understanding)

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

66%vs66%
LMSYS Chatbot Arena Elo

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

1255ptsvs1255pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

5.5%vs5.5%
Terminal-Bench (Agentic Coding & Terminal Use)

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

23%vs23%
SciCode (Scientific Computing)

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

24.5%vs24.5%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

39%vs39%
AIME (Advanced Math Competition)

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

46%vs46%
Long-Context Reasoning

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

61%vs61%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

140 tok/s vs180 tok/s

Gecikme Süresi ve Yanıt Hızı

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 Whisper0.15s
Whisper Large v3 Turbo0.12s
Est. End-to-End Response (500 tokens)TTFT + generation time
GPT Realtime Whisper3.72s
Whisper Large v3 Turbo2.90s

Gerçek Zamanlı Token Maliyet Simülatörü

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

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
GPT Realtime Whisper Monthly API Bill
$0.01 / month
$0.006/1M in · $0/1M out
Whisper Large v3 Turbo Monthly API Bill
$0.00 / month
$0.0006/1M in · $0/1M out
Whisper Large v3 Turbo saves approximately $0.01 / month (90%) under this workload.10.0x Savings

GPT Realtime Whisper · Strengths & Key Advantages

  • 0K bağlam penceresi ve yanıt başına maksimum 0K çıktı tokenı kapasitesi (SWE-bench Verified 36% · GPQA Diamond 46%)
  • Sadece 150 ms ilk token gecikmesi (TTFT) ile saniyede 140 token yüksek üretim hızı
  • İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $0.006/$0 fiyatlandırma)
Considerations & Trade-offs
  • Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
  • Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Whisper Large v3 Turbo · Strengths & Key Advantages

  • 0K bağlam penceresi ve yanıt başına maksimum 0K çıktı tokenı kapasitesi (SWE-bench Verified 36% · GPQA Diamond 46%)
  • Sadece 120 ms ilk token gecikmesi (TTFT) ile saniyede 180 token yüksek üretim hızı
  • vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (809M)
Considerations & Trade-offs
  • Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
  • Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Token Use & Task Economics

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

MetricGPT Realtime WhisperWhisper Large v3 Turbo
Cost per Task
Estimated USD to finish one task
$0.04$0.03
Output Tokens / Task
Tokens generated per task
3K3K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

FeatureGPT Realtime WhisperWhisper Large v3 Turbo
Official API Model ID (SDK)gpt-realtime-whisperwhisper-large-v3-turbo
API ProtocolOpenAI Responses API & Chat Completions v1OpenAI Responses API & Chat Completions v1
Release Date2026-052024-10
Knowledge CutoffFebruary 20262024 (audio corpus)
ArchitectureStreaming speech-to-text transformerDistilled encoder-decoder speech transformer
ParametersConfidential809M
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPMUnlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
Long-Context Tier (>128K/200K)Flat rate ($0.006/1M in) across full 0K windowFlat rate ($0.0006/1M in) across full 0K window
Prompt Cache Policy & TTLAutomatic prefix caching at $0/1M (no extra cache-write fee)Automatic prefix caching at $0/1M (no extra cache-write fee)
Computer Use / GUI AgentText-only completion (No GUI action loop)Text-only completion (No GUI action loop)
MCP & Parallel Tool CallingPrompt-based JSON extraction onlyPrompt-based JSON extraction only
Web Search Grounding & SandboxNative Web Search tool + Hosted Code Interpreter & File Search RAGNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)
Multimodal Token BillingText BPE (~4 chars/token) · Audio (~25–32 tokens/sec)Text BPE (~4 chars/token) · Audio (~25–32 tokens/sec)
Quantization & Min GPU VRAMCloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 2 GB VRAM (4-bit Quantized) · 4 GB VRAM (Native BF16)
Safety & Frontier ClassificationOpenAI Preparedness Framework Audited & System Card PublishedOpenAI Preparedness Framework Audited & System Card Published
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalitiesaudioaudio
Output Modalitiestexttext

GPT Realtime Whisper vs Whisper Large v3 Turbo: Hızlı Yanıtlar (SSS)

Which is more intelligent, GPT Realtime Whisper or Whisper Large v3 Turbo?

GPT Realtime Whisper is more intelligent. It scores 44 compared with 42 on the composite Intelligence Index.

Which model is faster?

Whisper Large v3 Turbo is faster, generating 180 tokens per second compared with 140 tokens per second.

Which model has lower latency?

Whisper Large v3 Turbo has lower latency, with a time to first token of 0.12s compared with 0.15s.

Sonuç

Hem GPT Realtime Whisper (doğal ses sentezi, gerçek zamanlı ses işleme ve konuşma metne dönüştürme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Whisper Large v3 Turbo (doğal ses sentezi, gerçek zamanlı ses işleme ve konuşma metne dönüştürme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: GPT Realtime Whisper karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Whisper Large v3 Turbo daha yüksek üretim hızı sağlar; Whisper Large v3 Turbo ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için GPT Realtime Whisper mi yoksa Whisper Large v3 Turbo mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde GPT Realtime Whisper önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

GPT Realtime Whisper ve Whisper Large v3 Turbo API fiyatları nasıl karşılaştırılır?+

GPT Realtime Whisper 1M giriş/çıkış tokeni başına $0.01 / $0.00 ücretlendirilirken, Whisper Large v3 Turbo $0.00 / $0.00 seviyesindedir. Karma maliyette Whisper Large v3 Turbo daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

GPT Realtime Whisper 448 token bağlam penceresi sunarken Whisper Large v3 Turbo 448 token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Whisper Large v3 Turbo öndedir.

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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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.

Resmi kaynaklar: OpenAI ve OpenAI resmi API dokümantasyonu, sistem kartları ve bağımsız benchmark testleri (2026).