Doubao Global vs Gemini Robotics-ER 1.6
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
ByteDance 的 Doubao Global 与 Google 的 Gemini Robotics-ER 1.6 是当前备受关注的两款主力 AI 模型。Doubao Global 提供 256K Token 上下文窗口,API 定价为每百万 Token 输入 $0.15 / 输出 $0.45;而 Gemini Robotics-ER 1.6 提供 131.1K Token 上下文窗口,定价为每百万 Token 输入 $2.50 / 输出 $10.00。以下为两者的基准测试、延迟与成本全面对比。
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Doubao Global
多语言全球化模型ByteDance 推出的 Doubao Global 是一款针对全球多语言理解、跨语种精准翻译与国际化业务深度优化的大模型,具备 256K 上下文窗口、110 Token/秒生成速度与 83/100 综合智能指数(每百万 Token $0.15 输入 / $0.45 输出)。
$0.15 / 1M
$0.45 / 1M
256K tokens
N/A
Gemini Robotics-ER 1.6
深度逻辑推理引擎Google 推出的 Gemini Robotics-ER 1.6 是一款专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理大模型,具备 131K 上下文窗口、90 Token/秒生成速度与 82/100 综合智能指数(每百万 Token $2.5 输入 / $10 输出)。
$2.50 / 1M
$10.00 / 1M
131.1K tokens
N/A
核心差异一览
- Doubao Global is 20.7x cheaper for API usage (input + output tokens combined).
- Doubao Global has a larger context window (256K vs 131K tokens).
- Doubao Global is faster at 110 tok/s vs 90 tok/s.
| Feature | Doubao Global | Gemini Robotics-ER 1.6 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 83 | 82 |
Provider | ByteDance | |
Input Price Cost per million input tokens | $0.15 / 1M | $2.50 / 1M |
Output Price Cost per million output tokens | $0.45 / 1M | $10.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.09 / 1M | $1.85 / 1M |
Context Window Maximum input + output tokens | 256K tokens~384 A4 pages of text | 131.1K tokens~197 A4 pages of text |
Max Output Tokens Per single request | 8K | 16K |
Throughput Speed Tokens generated per second | 110 tok/s | 90 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/A |
GPQA Diamond Graduate-level reasoning | 65% | N/A |
Cached Input Price Prompt caching discount per 1M tokens | $0.01 / 1M | $0.50 / 1M |
各项指标谁更胜一筹?
At-a-glance decision frameworkEvaluations ongoing
权威基准测试得分对比
Official evaluation metrics verified by independent third-party research labs.
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.
Tokens emitted per second during active generation streaming.
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.
实时 Token 成本模拟器
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Doubao Global · Strengths & Key Advantages
- 提供 256K 上下文窗口与最高 8K 输出容量,核心基准表现优异(GPQA Diamond 65% · MMLU-Pro 80%)
- 高达 110 Token/秒的生成吞吐量,首字延迟 (TTFT) 仅约 360 毫秒
- 极具竞争力的 API 定价(每百万 Token $0.15 输入 / $0.45 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 Robotics-ER 1.6 · Strengths & Key Advantages
- 提供 131K 上下文窗口与最高 16K 输出容量,核心基准表现优异(Arena Elo 1410)
- 高达 90 Token/秒的生成吞吐量,首字延迟 (TTFT) 仅约 700 毫秒
- 极具竞争力的 API 定价(每百万 Token $2.5 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
- 在大规模高频调用场景下,建议结合提示词缓存 (Prompt Caching) 与批量 API 以控制成本
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Doubao Global | Gemini Robotics-ER 1.6 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.07 | $1.80 |
Output Tokens / Task Tokens generated per task | 18K | 12K |
Reasoning Tokens / Task Thinking tokens burned per task | 4K | 6K |
技术规格参数
Architecture, release timeline, capabilities, and modalities.
| Feature | Doubao Global | Gemini Robotics-ER 1.6 |
|---|---|---|
| Official API Model ID (SDK) | doubao-global | models/gemini-robotics-er-1-6 |
| API Protocol | ByteDance REST API (OpenAI-Compatible) | Google Gemini API (generateContent) + OpenAI-Compatible SDK |
| Release Date | 2026-04 | 2026-04 |
| Knowledge Cutoff | February 2026 | February 2026 |
| Architecture | Globally Optimized Multimodal Transformer | Embodied Spatial Vision-Language-Action (VLA) Model |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 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 ($0.15/1M in) across full 256K window | Flat rate ($2.5/1M in) across full 131K window |
| Prompt Cache Policy & TTL | Cached input at $0.015/1M tokens | Implicit + Explicit Context Caching at $0.5/1M with configurable TTL |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools | Built-in Google Search Grounding + Managed Python Code Execution Sandbox |
| Official Fine-Tuning Support | API Prompt Engineering & RAG 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) · Vision (~258–765 tokens per image tile) |
| 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 | ByteDance Production Safety & Alignment 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, vision |
| Output Modalities | text | text |
Doubao Global vs Gemini Robotics-ER 1.6: 常见问题解答 (FAQ)
Which is more intelligent, Doubao Global or Gemini Robotics-ER 1.6?
Doubao Global is more intelligent. It scores 83 compared with 82 on the composite Intelligence Index.
Which model is faster?
Doubao Global is faster, generating 110 tokens per second compared with 90 tokens per second.
Which model is cheaper to run?
Doubao Global is cheaper at $0.09 per 1M tokens blended, compared with $1.85 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Doubao Global has lower latency, with a time to first token of 0.36s compared with 0.70s.
Which model has a larger context window?
Doubao Global has a larger context window, supporting 256K tokens compared with 131.1K tokens.
综合结论
综合来看,Doubao Global(适合:针对全球多语言理解、跨语种精准翻译与国际化业务深度优化的任务、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 Robotics-ER 1.6(适合:专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理任务、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:Doubao Global 在综合智能与编程基准测试中表现更强,Doubao Global 拥有更快的 Token 生成速度,而 Doubao Global 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,Doubao Global 和 Gemini Robotics-ER 1.6 哪个更强?+
在综合智能指数与编程基准评测中,Doubao Global 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。
Doubao Global 与 Gemini Robotics-ER 1.6 的 API 价格哪个更便宜?+
Doubao Global 的 API 价格为输入 $0.15 / 输出 $0.45(每百万 Token),Gemini Robotics-ER 1.6 为输入 $2.50 / 输出 $10.00。综合混合成本来看,Doubao Global 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?+
Doubao Global 支持 256K Token 上下文窗口,而 Gemini Robotics-ER 1.6 支持 131.1K Token。在流式生成速度方面,Doubao Global 的吞吐表现更快。
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
- Doubao Global vs Doubao 1.5 Pro:基准测试、API 价格与速度全面对比 (2026)对比
- Doubao Pro vs Doubao Global:基准测试、API 价格与速度全面对比 (2026)对比
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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.
数据来源: ByteDance 与 Google 官方 API 文档、模型发布说明及独立基准测试报告 (2026)。