Whisper Large v3 Turbo vs Whisper Large v3
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Whisper Large v3 Turbo de OpenAI y Whisper Large v3 de OpenAI compiten directamente en el ecosistema actual de IA. Whisper Large v3 Turbo ofrece una ventana de contexto de 448 tokens a $0.00/$0.00 por millón de tokens (entrada/salida), mientras que Whisper Large v3 ofrece 448 tokens de contexto a $0.01/$0.00 por millón de tokens. Analizamos sus benchmarks, latencia y costos reales.
Cambia y Compara Cualquier Modelo
Select any AI models from our verified benchmark database to generate live side-by-side matrices.
Whisper Large v3 Turbo
Modelo de Voz y Audio NativoWhisper Large v3 Turbo de OpenAI es un modelo de IA diseñado para síntesis de voz natural, transcripción acústica y procesamiento de audio en tiempo real, con ventana de contexto de 0K, velocidad de 180 tokens/s, índice de inteligencia de 4
$0.00 / 1M
$0.00 / 1M
448 tokens
36%
Whisper Large v3
Modelo de Voz y Audio NativoWhisper Large v3 de OpenAI es un modelo de IA diseñado para síntesis de voz natural, transcripción acústica y procesamiento de audio en tiempo real, con ventana de contexto de 0K, velocidad de 55 tokens/s, índice de inteligencia de 45/100 y
$0.01 / 1M
$0.00 / 1M
448 tokens
36%
Diferencias Clave de un Vistazo
- 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 55 tok/s.
- Whisper Large v3 leads on SWE-bench coding (36.0% vs 36.0%).
| Característica | Whisper Large v3 Turbo | Whisper Large v3 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 42 | 45 |
Provider | OpenAI | OpenAI |
Input Price Cost per million input tokens | $0.00 / 1M | $0.01 / 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 text | 448 tokens~1 A4 pages of text |
Max Output Tokens Per single request | 0K | 0K |
Throughput Speed Tokens generated per second | 180 tok/s | 55 tok/s |
SWE-bench Verified Real-world software engineering | 36% | 36% |
GPQA Diamond Graduate-level reasoning | 46% | 46% |
¿Quién gana en cada área?
At-a-glance decision frameworkPuntuaciones de Benchmarks Verificadas
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
Tokens emitted per second during active generation streaming.
Latencia y Tiempo de Respuesta
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulador Interactivo de Costos de Tokens
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Whisper Large v3 Turbo · Strengths & Key Advantages
- Ventana de contexto de 0K con hasta 0K tokens de salida máxima (SWE-bench Verified 36% · GPQA Diamond 46%)
- Rendimiento ágil de 180 tokens/segundo con latencia inicial (TTFT) de solo 120 ms
- Pesos abiertos (809M) listos para autoalojamiento local o en nube privada mediante vLLM y Ollama
Considerations & Trade-offs
- Requiere infraestructura GPU dedicada con suficiente memoria VRAM para inferencia local sin cuantización
- En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad
Whisper Large v3 · Strengths & Key Advantages
- Ventana de contexto de 0K con hasta 0K tokens de salida máxima (SWE-bench Verified 36% · GPQA Diamond 46%)
- Rendimiento ágil de 55 tokens/segundo con latencia inicial (TTFT) de solo 350 ms
- Pesos abiertos (1.55B) listos para autoalojamiento local o en nube privada mediante vLLM y Ollama
Considerations & Trade-offs
- Requiere infraestructura GPU dedicada con suficiente memoria VRAM para inferencia local sin cuantización
- En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Whisper Large v3 Turbo | Whisper Large v3 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.03 | $0.09 |
Output Tokens / Task Tokens generated per task | 3K | 3K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
Especificaciones Técnicas
Architecture, release timeline, capabilities, and modalities.
| Característica | Whisper Large v3 Turbo | Whisper Large v3 |
|---|---|---|
| Official API Model ID (SDK) | whisper-large-v3-turbo | whisper-large-v3 |
| API Protocol | OpenAI Responses API & Chat Completions v1 | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2024-10 | 2023-11 |
| Knowledge Cutoff | 2024 (audio corpus) | 2023 (audio corpus) |
| Architecture | Distilled encoder-decoder speech transformer | Encoder-decoder speech transformer |
| Parameters | 809M | 1.55B |
| Enterprise Rate Limits (RPM / TPM) | Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud | Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud |
| Long-Context Tier (>128K/200K) | Flat rate ($0.0006/1M in) across full 0K window | Flat rate ($0.006/1M in) across full 0K window |
| Prompt Cache Policy & TTL | Automatic prefix caching at $0/1M (no extra cache-write fee) | Automatic prefix caching at $0/1M (no extra cache-write fee) |
| Computer Use / GUI Agent | Text-only completion (No GUI action loop) | Text-only completion (No GUI action loop) |
| MCP & Parallel Tool Calling | Prompt-based JSON extraction only | Prompt-based JSON extraction only |
| Web Search Grounding & Sandbox | Native Web Search tool + Hosted Code Interpreter & File Search RAG | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory) | Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory) |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Audio (~25–32 tokens/sec) | Text BPE (~4 chars/token) · Audio (~25–32 tokens/sec) |
| Quantization & Min GPU VRAM | BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 2 GB VRAM (4-bit Quantized) · 4 GB VRAM (Native BF16) | 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 Classification | OpenAI Preparedness Framework Audited & System Card Published | OpenAI Preparedness Framework Audited & System Card Published |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | 100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control | 100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control |
| Input Modalities | audio | audio |
| Output Modalities | text | text |
Whisper Large v3 Turbo vs Whisper Large v3: Respuestas Rápidas (FAQ)
Which is more intelligent, Whisper Large v3 Turbo or Whisper Large v3?
Whisper Large v3 is more intelligent. It scores 45 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 55 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 0.35s.
Veredicto
Tanto Whisper Large v3 Turbo (Ideal para síntesis de voz natural, transcripción acústica y procesamiento de audio en tiempo real, sistemas RAG empresariales y automatización mediante API.) como Whisper Large v3 (Ideal para síntesis de voz natural, transcripción acústica y procesamiento de audio en tiempo real, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Whisper Large v3 lidera en inteligencia general y programación, Whisper Large v3 Turbo ofrece mayor velocidad de generación de tokens y Whisper Large v3 Turbo resulta más rentable para cargas de trabajo API de alto volumen.
Preguntas frecuentes
¿Cuál es mejor para programación y razonamiento, Whisper Large v3 Turbo o Whisper Large v3?+
En las pruebas de inteligencia compuesta y resolución de código, Whisper Large v3 obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.
¿Cuánto cuesta la API de Whisper Large v3 Turbo frente a Whisper Large v3?+
Whisper Large v3 Turbo cuesta $0.00 / $0.00 por millón de tokens de entrada/salida, mientras que Whisper Large v3 cuesta $0.01 / $0.00. En costo combinado, Whisper Large v3 Turbo es la opción más económica.
¿Qué modelo tiene mayor ventana de contexto y menor latencia?+
Whisper Large v3 Turbo cuenta con 448 tokens de contexto frente a 448 tokens de Whisper Large v3. En velocidad de inferencia, Whisper Large v3 Turbo ofrece un rendimiento superior.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
- GPT Realtime Whisper vs. Whisper Large v3 Turbo: Comparativa de Benchmarks, Precios API y Velocidad (2026)Comparar
- Whisper Large v3 Turbo vs. Gemini 3.5 Live Translate: Comparativa de Benchmarks, Precios API y Velocidad (2026)Comparar
- Whisper Large v3 vs. Gemini 3.5 Live Translate: Comparativa de Benchmarks, Precios API y Velocidad (2026)Comparar
- Aion-3.0 vs. Aion-Mini: Comparativa de Benchmarks, Precios API y Velocidad (2026)Comparar
- Aion-3.0 vs. Gemini 3.6 Flash: Comparativa de Benchmarks, Precios API y Velocidad (2026)Comparar
- Aion-Mini vs. Laguna XS 2.1: Comparativa de Benchmarks, Precios API y Velocidad (2026)Comparar
Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.
Fuentes: Documentación oficial de API de OpenAI y OpenAI, tarjetas de sistema y benchmarks independientes (2026).