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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

由 GetInfoUs 研究团队审核最后审核日期：October 2026编辑政策
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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 by Google and Gemini 3.1 Flash TTS by Google represent two of the frontier AI models analyzed in our comprehensive 2026 AI benchmark and LLM comparison. In this head-to-head evaluation, we examine API token pricing, context window specifications, inference speed (tokens per second), and empirical reasoning performance. From a pure economic perspective, Gemini 2.5 Flash TTS holds a notable pricing advantage for token ingestion. On output generation, Gemini 2.5 Flash TTS is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, Gemini 2.5 Flash TTS provides an expanded memory horizon with 32K tokens. In latency-sensitive production environments, Gemini 3.1 Flash TTS leads in tokens-per-second throughput, making it ideal for real-time conversational agents and high-concurrency workflows. Below is the complete empirical head-to-head breakdown across cost, speed, context, and capability matrices.

模型直接对比 (VS)

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Popular Matchups:
Google

Gemini 2.5 Flash TTS

旗舰 frontier 大模型

Google 推出的 Gemini 2.5 Flash TTS 人工智能模型，具备 32K 上下文窗口，输入价格为 $0.5/百万 Token，输出价格为 $10/百万 Token，专为高质量生产环境、推理与自动化工作流打造。

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

旗舰 frontier 大模型

Google 推出的 Gemini 3.1 Flash TTS 人工智能模型，具备 8K 上下文窗口，输入价格为 $0.75/百万 Token，输出价格为 $12/百万 Token，专为高质量生产环境、推理与自动化工作流打造。

Intelligence Index72 / 100
Input Token:

$0.75 / 1M

Output Token:

$12.00 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

N/A

核心差异一览

  • 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

各项指标谁更胜一筹？

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

权威基准测试得分对比

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

延迟与响应速度

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

实时 Token 成本模拟器

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

  • 由 Google 研发的高精度 Neural text-to-speech acoustic diffusion model 架构，支持 32K 上下文窗口
  • 极具竞争力的 API 定价（输入 $0.5/1M，输出 $10/1M），支持高速推理与工具调用
  • 在代码生成、逻辑推理与多语言处理基准测试中表现出色
Considerations & Trade-offs
  • 超长上下文请求需要规划 Token 成本与并发配额
  • 针对特定垂直领域任务建议结合系统提示词与检索增强（RAG）以获得最佳效果

Gemini 3.1 Flash TTS · Strengths & Key Advantages

  • 由 Google 研发的高精度 Ultra-low-latency expressive acoustic speech model 架构，支持 8K 上下文窗口
  • 极具竞争力的 API 定价（输入 $0.75/1M，输出 $12/1M），支持高速推理与工具调用
  • 在代码生成、逻辑推理与多语言处理基准测试中表现出色
Considerations & Trade-offs
  • 超长上下文请求需要规划 Token 成本与并发配额
  • 针对特定垂直领域任务建议结合系统提示词与检索增强（RAG）以获得最佳效果

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

技术规格参数

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: 常见问题解答 (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.

综合结论

Verdict & Model Selection Recommendation: Choose Gemini 2.5 Flash TTS if your priority is Audiobook narration, dynamic NPC dialogue, and interactive voice assistants. Its performance in demanding tasks justifies its operational token cost. Choose Gemini 3.1 Flash TTS if your workflow prioritizes Real-time voice bots, live telephonic agents, and gaming NPCs. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.

常见问题 (FAQ)

How does Gemini 2.5 Flash TTS compare to Gemini 3.1 Flash TTS in API token pricing and cost per token?+

Gemini 2.5 Flash TTS costs $0.50 per 1M input tokens and $10.00 per 1M output tokens, whereas Gemini 3.1 Flash TTS costs $0.75 input and $12.00 output. Overall, Gemini 2.5 Flash TTS is the more cost-effective model for high-volume API pipelines.

Which model has a larger context window: Gemini 2.5 Flash TTS or Gemini 3.1 Flash TTS?+

Gemini 2.5 Flash TTS supports a context window of 32K tokens (~24k words), while Gemini 3.1 Flash TTS supports 8K tokens (~6k words). Therefore, Gemini 2.5 Flash TTS can process more textual data and document context in a single prompt.

Which AI model is better for software engineering and coding: Gemini 2.5 Flash TTS or Gemini 3.1 Flash TTS?+

Gemini 2.5 Flash TTS scores at the frontier of coding benchmarks, while Gemini 3.1 Flash TTS scores competitively for software generation. For complex autonomous debugging and agentic engineering, Gemini 2.5 Flash TTS provides robust code generation and tool calling.

What is the difference in reasoning capability and extended thinking between Gemini 2.5 Flash TTS and Gemini 3.1 Flash TTS?+

Gemini 2.5 Flash TTS is optimized for low-latency direct generation. In contrast, Gemini 3.1 Flash TTS focuses on standard fast inference.

How does inference speed (tokens per second) compare between Gemini 2.5 Flash TTS and Gemini 3.1 Flash TTS?+

Gemini 2.5 Flash TTS generates approximately 100 tokens per second, while Gemini 3.1 Flash TTS delivers 120 tokens per second. In latency-sensitive production environments, Gemini 3.1 Flash TTS provides faster time-to-first-token (TTFT) and higher streaming response velocity.

Can you implement a tiered LLM routing setup combining Gemini 2.5 Flash TTS and Gemini 3.1 Flash TTS to optimize costs?+

Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Gemini 2.5 Flash TTS to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Gemini 3.1 Flash TTS. This tiered routing pattern cuts overall API bills by up to 70%.

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.

数据来源: GetInfoUs Independent AI Benchmarks & Official API Specs