Lyria 3 Pro vs Gemini 3.1 Flash TTS
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Lyria 3 Pro dari Google dan Gemini 3.1 Flash TTS dari Google adalah dua model AI unggulan. Lyria 3 Pro menawarkan jendela konteks 131.1K token dengan harga $1.50/$60.00 per 1 juta token, sedangkan Gemini 3.1 Flash TTS menyediakan konteks 8.2K token seharga $0.75/$12.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Lyria 3 Pro
Model Suara & Audio AsliLyria 3 Pro dari Google adalah model AI yang dirancang untuk sintesis suara alami, pemrosesan audio real-time, dan transkripsi ucapan, menghadirkan jendela konteks 131K, kecepatan 50 token/detik, indeks kecerdasan 80/100, serta tarif $1.5/$
$1.50 / 1M
$60.00 / 1M
131.1K tokens
N/A
Gemini 3.1 Flash TTS
Model Suara & Audio AsliGemini 3.1 Flash TTS dari Google adalah model AI yang dirancang untuk sintesis suara alami, pemrosesan audio real-time, dan transkripsi ucapan, menghadirkan jendela konteks 8K, kecepatan 120 token/detik, indeks kecerdasan 72/100, serta tari
$0.75 / 1M
$12.00 / 1M
8.2K tokens
N/A
Perbedaan Utama Sekilas
- Gemini 3.1 Flash TTS is 4.7x cheaper for API usage (input + output tokens combined).
- Lyria 3 Pro has a larger context window (131K vs 8K tokens).
- Gemini 3.1 Flash TTS is faster at 120 tok/s vs 50 tok/s.
| Feature | Lyria 3 Pro | Gemini 3.1 Flash TTS |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 80 | 72 |
Provider | ||
Input Price Cost per million input tokens | $1.50 / 1M | $0.75 / 1M |
Output Price Cost per million output tokens | $60.00 / 1M | $12.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $6.30 / 1M | $1.35 / 1M |
Context Window Maximum input + output tokens | 131.1K tokens~197 A4 pages of text | 8.2K tokens~12 A4 pages of text |
Max Output Tokens Per single request | 16K | 4K |
Throughput Speed Tokens generated per second | 50 tok/s | 120 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/A |
Siapa Unggul di Mana?
At-a-glance decision frameworkEvaluations ongoing
Skor Benchmark Terverifikasi
Official evaluation metrics verified by independent third-party research labs.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Tokens emitted per second during active generation streaming.
Latensi & Waktu Respons
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulator Biaya Token Interaktif
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Lyria 3 Pro · Strengths & Key Advantages
- Jendela konteks 131K dengan kapasitas output maksimum hingga 16K token (Arena Elo 1380)
- Kecepatan generasi tinggi 50 token/detik dengan latensi token pertama (TTFT) hanya 1500 ms
- Skema harga API kompetitif (tarif $1.5/$60 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi
Gemini 3.1 Flash TTS · Strengths & Key Advantages
- Jendela konteks 8K dengan kapasitas output maksimum hingga 4K token (Arena Elo 1360)
- Kecepatan generasi tinggi 120 token/detik dengan latensi token pertama (TTFT) hanya 250 ms
- Skema harga API kompetitif (tarif $0.75/$12 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Lyria 3 Pro | Gemini 3.1 Flash TTS |
|---|---|---|
Cost per Task Estimated USD to finish one task | $1.25 | $0.75 |
Output Tokens / Task Tokens generated per task | 6K | 4K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Lyria 3 Pro | Gemini 3.1 Flash TTS |
|---|---|---|
| Official API Model ID (SDK) | models/lyria-3-pro | models/gemini-3-1-flash-tts |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | Google Gemini API (generateContent) + OpenAI-Compatible SDK |
| Release Date | 2026-03 | 2026-04 |
| Knowledge Cutoff | December 2025 | January 2026 |
| Architecture | Full-spectrum neural music and vocal synthesis transformer | Ultra-low-latency expressive acoustic speech model |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($1.5/1M in) across full 131K window | Flat rate ($0.75/1M in) across full 8K window |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0/1M with configurable TTL | Implicit + Explicit Context Caching at $0/1M with configurable TTL |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | 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 | Built-in Google Search Grounding + Managed Python Code Execution Sandbox | Built-in Google Search Grounding + Managed Python Code Execution Sandbox |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | Vertex AI Supervised Adapter Tuning & Context Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) | Text BPE (~4 chars/token) |
| 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 | Google DeepMind Frontier Safety Framework Verified | Google DeepMind Frontier Safety Framework 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 | text, vision | text |
| Output Modalities | audio | audio |
Lyria 3 Pro vs Gemini 3.1 Flash TTS: Jawaban Cepat (FAQ)
Which is more intelligent, Lyria 3 Pro or Gemini 3.1 Flash TTS?
Lyria 3 Pro is more intelligent. It scores 80 compared with 72 on the composite Intelligence Index.
Which model is faster?
Gemini 3.1 Flash TTS is faster, generating 120 tokens per second compared with 50 tokens per second.
Which model is cheaper to run?
Gemini 3.1 Flash TTS is cheaper at $1.35 per 1M tokens blended, compared with $6.30 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Gemini 3.1 Flash TTS has lower latency, with a time to first token of 0.25s compared with 1.50s.
Which model has a larger context window?
Lyria 3 Pro has a larger context window, supporting 131.1K tokens compared with 8.2K tokens.
Kesimpulan
Baik Lyria 3 Pro (Sangat cocok untuk sintesis suara alami, pemrosesan audio real-time, dan transkripsi ucapan, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Gemini 3.1 Flash TTS (Sangat cocok untuk sintesis suara alami, pemrosesan audio real-time, dan transkripsi ucapan, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Lyria 3 Pro unggul dalam penalaran dan pemrograman, Gemini 3.1 Flash TTS memberikan kecepatan generasi token lebih tinggi, dan Gemini 3.1 Flash TTS lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Lyria 3 Pro atau Gemini 3.1 Flash TTS?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Lyria 3 Pro memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Lyria 3 Pro vs Gemini 3.1 Flash TTS?+
Lyria 3 Pro mengenakan biaya $1.50 / $60.00 per 1M token input/output, sedangkan Gemini 3.1 Flash TTS sebesar $0.75 / $12.00. Secara keseluruhan, Gemini 3.1 Flash TTS lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Lyria 3 Pro mendukung konteks 131.1K token dibandingkan 8.2K token pada Gemini 3.1 Flash TTS, sementara Gemini 3.1 Flash TTS unggul dalam kecepatan output token per detik.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
- Gemini 2.5 Flash TTS vs Gemini 3.1 Flash TTS: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Lyria 3 Pro vs Gemini 2.5 Flash TTS: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
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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.
Sumber resmi: Dokumentasi API resmi Google & Google serta evaluasi benchmark independen (2026).