Gemini 3.1 Flash TTS vs GPT-6 Astra
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Gemini 3.1 Flash TTS by Google against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.
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Gemini 3.1 Flash TTS
Expressive TTSNext-gen low-latency neural speech generation supporting inline emotion tags and conversational interruptions.
$0.75 / 1M
$12.00 / 1M
8.2K tokens
N/A
GPT-6 Astra
Autonomous OS AgentOpenAI's late-2026 flagship foundation model featuring native Computer-Use agents, dynamic UI orchestration, and deep STEM reasoning.
$10.00 / 1M
$50.00 / 1M
272K tokens
82.4%
Key Differences at a Glance
- Gemini 3.1 Flash TTS is 5.2x cheaper for API usage (input + output tokens combined).
- GPT-6 Astra has a larger context window (272K vs 8K tokens).
- Gemini 3.1 Flash TTS is faster at 120 tok/s vs 100 tok/s.
| Feature | Gemini 3.1 Flash TTS | GPT-6 Astra |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 72 | 96 |
Provider | OpenAI | |
Input Price Cost per million input tokens | $0.75 / 1M | $10.00 / 1M |
Output Price Cost per million output tokens | $12.00 / 1M | $50.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $1.35 / 1M | $7.70 / 1M |
Context Window Maximum input + output tokens | 8.2K tokens~12 A4 pages of text | 272K tokens~408 A4 pages of text |
Max Output Tokens Per single request | 4K | 128K |
Throughput Speed Tokens generated per second | 120 tok/s | 100 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 82.4% |
GPQA Diamond Graduate-level reasoning | N/A | 80.9% |
Cached Input Price Prompt caching discount per 1M tokens | $0.00 / 1M | $1.00 / 1M |
Who Wins Where?
At-a-glance decision frameworkEvaluations ongoing
Empirical Head-to-Head Benchmark Scores
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.
Latency & Response Time
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Real-Time Interactive Token Cost Simulator
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Gemini 3.1 Flash TTS · Strengths & Key Advantages
- Sub-250ms time-to-first-audio chunk
- Supports inline audio tags like [laughter] and [sigh]
- Ultra-natural conversational cadence
Considerations & Trade-offs
- Restricted 8K context window
- Higher output pricing than text-only models
GPT-6 Astra · Strengths & Key Advantages
- Flawless OS-level navigation and Computer-Use automation
- Seamless real-time multimodal voice and vision interactivity
- Dynamic Chain-of-Thought that self-adjusts depth based on query difficulty
- Huge 1M context window with instant prefix caching
Considerations & Trade-offs
- Strict safety filters can occasionally throttle complex penetration testing prompts
- Slightly higher reasoning latency on high-effort math queries
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Gemini 3.1 Flash TTS | GPT-6 Astra |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.75 | $2.15 |
Output Tokens / Task Tokens generated per task | 4K | 58K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 32K |
Technical Specifications
Architecture, release timeline, capabilities, and modalities.
| Feature | Gemini 3.1 Flash TTS | GPT-6 Astra |
|---|---|---|
| Official API Model ID (SDK) | models/gemini-3-1-flash-tts | gpt-6-astra |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-04 | 2026-09 |
| Knowledge Cutoff | January 2026 | June 2026 |
| Architecture | Ultra-low-latency expressive acoustic speech model | Omni-Adaptive Autoregressive with Dynamic CoT |
| 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 ($0.75/1M in) across full 8K window | Flat rate ($10/1M in) across full 272K window |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0/1M with configurable TTL | Automatic prefix caching at $1/1M (no extra cache-write fee) |
| Computer Use / GUI Agent | Text-only completion (No GUI action loop) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Prompt-based JSON extraction only | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Built-in Google Search Grounding + Managed Python Code Execution Sandbox | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) |
| Multimodal Token Billing | Text BPE (~4 chars/token) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) |
| 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 | OpenAI Preparedness Framework Audited & System Card Published |
| 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 | text, vision, audio |
| Output Modalities | audio | text, audio |
Gemini 3.1 Flash TTS vs GPT-6 Astra: Quick Answers
Which is more intelligent, Gemini 3.1 Flash TTS or GPT-6 Astra?
GPT-6 Astra is more intelligent. It scores 96 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 100 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 $7.70 (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 0.95s.
Which model has a larger context window?
GPT-6 Astra has a larger context window, supporting 272K tokens compared with 8.2K tokens.
Verdict
Choose Gemini 3.1 Flash TTS for real-time voice bots, live telephonic agents, and gaming npcs, or choose GPT-6 Astra for autonomous browser/computer workflows, real-time voice agents, and high-difficulty mathematical reasoning.
Frequently asked questions
Which is cheaper: Gemini 3.1 Flash TTS or GPT-6 Astra?+
Gemini 3.1 Flash TTS costs $0.75/1M input and $12/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.
Which model has a larger context window: Gemini 3.1 Flash TTS or GPT-6 Astra?+
Gemini 3.1 Flash TTS supports 8K tokens whereas GPT-6 Astra supports 272K tokens.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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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.
Sources: Google & OpenAI Official Documentation