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Head-to-Head Model Comparison

Gemini 2.5 Flash TTS vs Gemini 3.1 Flash TTS

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Gemini 2.5 Flash TTS vs Gemini 3.1 Flash TTS: Benchmarks, Pricing & Speed Comparison

Gemini 2.5 Flash TTS dari Google dan Gemini 3.1 Flash TTS dari Google adalah dua model AI unggulan. Gemini 2.5 Flash TTS menawarkan jendela konteks 32K token dengan harga $0.50/$10.00 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.

Perbandingan Langsung (VS)

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Google

Gemini 2.5 Flash TTS

Model Generasi Gambar AI

Gemini 2.5 Flash TTS dari Google adalah model AI yang dirancang untuk pembuatan gambar AI resolusi tinggi, desain visual, dan perenderan tipografi akurat, menghadirkan jendela konteks 32K, kecepatan 100 token/detik, indeks kecerdasan 64/100

Intelligence Index64 / 100
Input Token:

$0.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

32K tokens

SWE-bench Verified:

N/A

Google

Gemini 3.1 Flash TTS

Model Suara & Audio Asli

Gemini 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

Intelligence Index72 / 100
Input Token:

$0.75 / 1M

Output Token:

$12.00 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

  • Gemini 2.5 Flash TTS is 1.2x cheaper for API usage (input + output tokens combined).
  • Gemini 2.5 Flash TTS has a larger context window (32K vs 8K tokens).
  • Gemini 3.1 Flash TTS is faster at 120 tok/s vs 100 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGemini 2.5 Flash TTSGemini 3.1 Flash TTS
Intelligence Index
Composite reasoning & knowledge score (0-100)
6472
Provider
GoogleGoogle
Input Price
Cost per million input tokens
$0.50 / 1M$0.75 / 1M
Output Price
Cost per million output tokens
$10.00 / 1M$12.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$1.10 / 1M$1.35 / 1M
Context Window
Maximum input + output tokens
32K tokens~48 A4 pages of text8.2K tokens~12 A4 pages of text
Max Output Tokens
Per single request
8K4K
Throughput Speed
Tokens generated per second
100 tok/s120 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Gemini 2.5 Flash TTS
1.2x cheaper monthly runtime
Speed
Gemini 3.1 Flash TTS
+20% faster generation
Context
Gemini 2.5 Flash TTS
32K tokens window

Skor Benchmark Terverifikasi

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

Gemini 2.5 Flash TTSGemini 3.1 Flash TTS
LMSYS Chatbot Arena Elo

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

1300ptsvs1360pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

100 tok/s vs120 tok/s

Latensi & Waktu Respons

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
Gemini 2.5 Flash TTS0.40s
Gemini 3.1 Flash TTS0.25s
Est. End-to-End Response (500 tokens)TTFT + generation time
Gemini 2.5 Flash TTS5.40s
Gemini 3.1 Flash TTS4.42s

Simulator Biaya Token Interaktif

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)
Gemini 2.5 Flash TTS Monthly API Bill
$9.75 / month
$0.5/1M in · $10/1M out
Gemini 3.1 Flash TTS Monthly API Bill
$11.93 / month
$0.75/1M in · $12/1M out
Gemini 2.5 Flash TTS saves approximately $2.18 / month (18%) under this workload.1.2x Savings

Gemini 2.5 Flash TTS · Strengths & Key Advantages

  • Jendela konteks 32K dengan kapasitas output maksimum hingga 8K token (Arena Elo 1300)
  • Kecepatan generasi tinggi 100 token/detik dengan latensi token pertama (TTFT) hanya 400 ms
  • Skema harga API kompetitif (tarif $0.5/$10 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.

MetricGemini 2.5 Flash TTSGemini 3.1 Flash TTS
Cost per Task
Estimated USD to finish one task
$0.60$0.75
Output Tokens / Task
Tokens generated per task
5K4K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureGemini 2.5 Flash TTSGemini 3.1 Flash TTS
Official API Model ID (SDK)models/gemini-2-5-flash-ttsmodels/gemini-3-1-flash-tts
API ProtocolGoogle Gemini API (generateContent) + OpenAI-Compatible SDKGoogle Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date2025-092026-04
Knowledge CutoffJuly 2025January 2026
ArchitectureNeural text-to-speech acoustic diffusion modelUltra-low-latency expressive acoustic speech model
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.5/1M in) across full 32K windowFlat rate ($0.75/1M in) across full 8K window
Prompt Cache Policy & TTLImplicit + Explicit Context Caching at $0/1M with configurable TTLImplicit + Explicit Context Caching at $0/1M with configurable TTL
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 & SandboxBuilt-in Google Search Grounding + Managed Python Code Execution SandboxBuilt-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning SupportVertex AI Supervised Adapter Tuning & Context DistillationVertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMCloud-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 ClassificationGoogle DeepMind Frontier Safety Framework VerifiedGoogle DeepMind Frontier Safety Framework Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestexttext
Output Modalitiesaudioaudio

Gemini 2.5 Flash TTS vs Gemini 3.1 Flash TTS: Jawaban Cepat (FAQ)

Which is more intelligent, Gemini 2.5 Flash TTS or Gemini 3.1 Flash TTS?

Gemini 3.1 Flash TTS is more intelligent. It scores 72 compared with 64 on the composite Intelligence Index.

Which model is faster?

Gemini 3.1 Flash TTS is faster, generating 120 tokens per second compared with 100 tokens per second.

Which model is cheaper to run?

Gemini 2.5 Flash TTS is cheaper at $1.10 per 1M tokens blended, compared with $1.35 (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 0.40s.

Which model has a larger context window?

Gemini 2.5 Flash TTS has a larger context window, supporting 32K tokens compared with 8.2K tokens.

Kesimpulan

Baik Gemini 2.5 Flash TTS (Sangat cocok untuk pembuatan gambar AI resolusi tinggi, desain visual, dan perenderan tipografi akurat, 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: Gemini 3.1 Flash TTS unggul dalam penalaran dan pemrograman, Gemini 3.1 Flash TTS memberikan kecepatan generasi token lebih tinggi, dan Gemini 2.5 Flash TTS lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Gemini 2.5 Flash TTS atau Gemini 3.1 Flash TTS?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Gemini 3.1 Flash TTS memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Gemini 2.5 Flash TTS vs Gemini 3.1 Flash TTS?+

Gemini 2.5 Flash TTS mengenakan biaya $0.50 / $10.00 per 1M token input/output, sedangkan Gemini 3.1 Flash TTS sebesar $0.75 / $12.00. Secara keseluruhan, Gemini 2.5 Flash TTS lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Gemini 2.5 Flash TTS mendukung konteks 32K token dibandingkan 8.2K token pada Gemini 3.1 Flash TTS, sementara Gemini 3.1 Flash TTS unggul dalam kecepatan output token per detik.

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.

Sumber resmi: Dokumentasi API resmi Google & Google serta evaluasi benchmark independen (2026).