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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

Google 的 Gemini 2.5 Flash TTS 与 Google 的 Gemini 3.1 Flash TTS 是当前备受关注的两款主力 AI 模型。Gemini 2.5 Flash TTS 提供 32K Token 上下文窗口，API 定价为每百万 Token 输入 $0.50 / 输出 $10.00；而 Gemini 3.1 Flash TTS 提供 8.2K Token 上下文窗口，定价为每百万 Token 输入 $0.75 / 输出 $12.00。以下为两者的基准测试、延迟与成本全面对比。

模型直接对比 (VS)

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Google

Gemini 2.5 Flash TTS

高精度图像生成模型

Google 推出的 Gemini 2.5 Flash TTS 是一款专注于高分辨率视觉创作、精准文字渲染与图像生成的大模型，具备 32K 上下文窗口、100 Token/秒生成速度与 64/100 综合智能指数（每百万 Token $0.5 输入 / $10 输出）。

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

原生语音与音频大模型

Google 推出的 Gemini 3.1 Flash TTS 是一款专注于超自然语音合成、实时音频理解与低延迟语音交互的大模型，具备 8K 上下文窗口、120 Token/秒生成速度与 72/100 综合智能指数（每百万 Token $0.75 输入 / $12 输出）。

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

  • 提供 32K 上下文窗口与最高 8K 输出容量，核心基准表现优异（Arena Elo 1300）
  • 高达 100 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 400 毫秒
  • 极具竞争力的 API 定价（每百万 Token $0.5 输入 / $10 输出），原生支持提示词缓存、函数调用与结构化 JSON 输出
Considerations & Trade-offs
  • 闭源专有云端模型，不支持下载权重进行离线本地物理隔离部署
  • 在超长链路的前沿科研推导任务上，深度略逊于顶配重型旗舰推理模型

Gemini 3.1 Flash TTS · Strengths & Key Advantages

  • 提供 8K 上下文窗口与最高 4K 输出容量，核心基准表现优异（Arena Elo 1360）
  • 高达 120 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 250 毫秒
  • 极具竞争力的 API 定价（每百万 Token $0.75 输入 / $12 输出），原生支持提示词缓存、函数调用与结构化 JSON 输出
Considerations & Trade-offs
  • 闭源专有云端模型，不支持下载权重进行离线本地物理隔离部署
  • 在超长链路的前沿科研推导任务上，深度略逊于顶配重型旗舰推理模型

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

综合来看，Gemini 2.5 Flash TTS（适合：专注于高分辨率视觉创作、精准文字渲染与图像生成的任务、企业级 RAG 检索增强生成、自动化智能体工作流与高可靠 API 集成。）与 Gemini 3.1 Flash TTS（适合：专注于超自然语音合成、实时音频理解与低延迟语音交互的任务、企业级 RAG 检索增强生成、自动化智能体工作流与高可靠 API 集成。）各具优势：Gemini 3.1 Flash TTS 在综合智能与编程基准测试中表现更强，Gemini 3.1 Flash TTS 拥有更快的 Token 生成速度，而 Gemini 2.5 Flash TTS 则在规模化 API 部署中具备更高的成本效益。

常见问题 (FAQ)

在编程和深度推理方面，Gemini 2.5 Flash TTS 和 Gemini 3.1 Flash TTS 哪个更强？+

在综合智能指数与编程基准评测中，Gemini 3.1 Flash TTS 表现占优。建议结合上方的 SWE-bench Verified 与 GPQA Diamond 跑分根据具体场景选择。

Gemini 2.5 Flash TTS 与 Gemini 3.1 Flash TTS 的 API 价格哪个更便宜？+

Gemini 2.5 Flash TTS 的 API 价格为输入 $0.50 / 输出 $10.00（每百万 Token），Gemini 3.1 Flash TTS 为输入 $0.75 / 输出 $12.00。综合混合成本来看，Gemini 2.5 Flash TTS 更具性价比。

哪款模型拥有更大的上下文窗口和更快的响应速度？+

Gemini 2.5 Flash TTS 支持 32K Token 上下文窗口，而 Gemini 3.1 Flash TTS 支持 8.2K Token。在流式生成速度方面，Gemini 3.1 Flash TTS 的吞吐表现更快。

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: Google 与 Google 官方 API 文档、模型发布说明及独立基准测试报告 (2026)。