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Head-to-Head Model Comparison

Grok 4.3 vs Grok Build 0.1

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
Grok 4.3 vs Grok Build 0.1: Benchmarks, Pricing & Speed Comparison

xAI 的 Grok 4.3 与 xAI 的 Grok Build 0.1 是当前备受关注的两款主力 AI 模型。Grok 4.3 提供 1M Token 上下文窗口，API 定价为每百万 Token 输入 $1.25 / 输出 $2.50；而 Grok Build 0.1 提供 256K Token 上下文窗口，定价为每百万 Token 输入 $1.00 / 输出 $2.00。以下为两者的基准测试、延迟与成本全面对比。

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xAI

Grok 4.3

旗舰前沿大模型

xAI 推出的 Grok 4.3 是一款面向复杂企业级推理、软件开发与全场景生产工作流的旗舰前沿大模型，具备 1M 上下文窗口、110 Token/秒生成速度与 71/100 综合智能指数（每百万 Token $1.25 输入 / $2.5 输出）。

Intelligence Index71 / 100
Input Token:

$1.25 / 1M

Output Token:

$2.50 / 1M

Context Window:

1M tokens

SWE-bench Verified:

71.4%

xAI

Grok Build 0.1

顶级编程与软件工程

xAI 推出的 Grok Build 0.1 是一款专为自主软件工程、跨文件代码重构与复杂调试打造的旗舰编程大模型，具备 256K 上下文窗口、120 Token/秒生成速度与 65/100 综合智能指数（每百万 Token $1 输入 / $2 输出）。

Intelligence Index65 / 100
Input Token:

$1.00 / 1M

Output Token:

$2.00 / 1M

Context Window:

256K tokens

SWE-bench Verified:

69.8%

核心差异一览

  • Grok Build 0.1 is 1.2x cheaper for API usage (input + output tokens combined).
  • Grok 4.3 has a larger context window (1M vs 256K tokens).
  • Grok Build 0.1 is faster at 120 tok/s vs 110 tok/s.
  • Grok 4.3 leads on SWE-bench coding (71.4% vs 69.8%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGrok 4.3Grok Build 0.1
Intelligence Index
Composite reasoning & knowledge score (0-100)
7165
Provider
xAIxAI
Input Price
Cost per million input tokens
$1.25 / 1M$1.00 / 1M
Output Price
Cost per million output tokens
$2.50 / 1M$2.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.72 / 1M$0.57 / 1M
Context Window
Maximum input + output tokens
1M tokens~1,500 A4 pages of text256K tokens~384 A4 pages of text
Max Output Tokens
Per single request
66K66K
Throughput Speed
Tokens generated per second
110 tok/s120 tok/s
SWE-bench Verified
Real-world software engineering
71.4%69.8%
GPQA Diamond
Graduate-level reasoning
73.5%68.2%
Cached Input Price
Prompt caching discount per 1M tokens
$0.31 / 1M$0.25 / 1M

各项指标谁更胜一筹？

At-a-glance decision framework
Coding
Grok 4.3
+1.6% SWE-bench lead
Cost
Grok Build 0.1
1.2x cheaper monthly runtime
Speed
Grok Build 0.1
+9% faster generation
Context
Grok 4.3
1M tokens window

权威基准测试得分对比

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

Grok 4.3Grok Build 0.1
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

71.4%vs69.8%
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

73.5%vs68.2%
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

85.2%vs82.5%
LMSYS Chatbot Arena Elo

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

1410ptsvs1375pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

12.8%vs10.5%
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

47%vs46.2%
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

44.5%vs42%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

71.2%vs68.5%
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

85%vs82.1%
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

88.5%vs80.4%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

110 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
Grok 4.30.65s
Grok Build 0.10.55s
Est. End-to-End Response (500 tokens)TTFT + generation time
Grok 4.35.20s
Grok Build 0.14.72s

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)
Grok 4.3 Monthly API Bill
$4.59 / month
$1.25/1M in · $2.5/1M out
Grok Build 0.1 Monthly API Bill
$3.67 / month
$1/1M in · $2/1M out
Grok Build 0.1 saves approximately $0.92 / month (20%) under this workload.1.2x Savings

Grok 4.3 · Strengths & Key Advantages

  • 提供 1M 上下文窗口与最高 66K 输出容量，核心基准表现优异（SWE-bench Verified 71.4% · GPQA Diamond 73.5%）
  • 高达 110 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 650 毫秒
  • 极具竞争力的 API 定价（每百万 Token $1.25 输入 / $2.5 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

Grok Build 0.1 · Strengths & Key Advantages

  • 提供 256K 上下文窗口与最高 66K 输出容量，核心基准表现优异（SWE-bench Verified 69.8% · GPQA Diamond 68.2%）
  • 高达 120 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 550 毫秒
  • 极具竞争力的 API 定价（每百万 Token $1 输入 / $2 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.

MetricGrok 4.3Grok Build 0.1
Cost per Task
Estimated USD to finish one task
$1.35$0.95
Output Tokens / Task
Tokens generated per task
46K42K
Reasoning Tokens / Task
Thinking tokens burned per task
22K18K

技术规格参数

Architecture, release timeline, capabilities, and modalities.

FeatureGrok 4.3Grok Build 0.1
Official API Model ID (SDK)grok-4-3-latestgrok-build-0-1-latest
API ProtocolxAI REST API (OpenAI-Compatible)xAI REST API (OpenAI-Compatible)
Release Date2026-042026-04
Knowledge CutoffJanuary 2026January 2026
ArchitectureColossus-Scale Mixture-of-ExpertsCode-Specialized Autoregressive Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($1.25/1M in) across full 1000K windowFlat rate ($1/1M in) across full 256K window
Prompt Cache Policy & TTLCached input at $0.31/1M tokensCached input at $0.25/1M tokens
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxReal-time Web & X (Twitter) Search Grounding + Code ExecutionReal-time Web & X (Twitter) Search Grounding + Code Execution
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationAPI Prompt Engineering & RAG Distillation
Multimodal Token BillingText 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 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 ClassificationxAI Production Safety & Alignment VerifiedxAI Production Safety & Alignment 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 Modalitiestext, visiontext, vision
Output Modalitiestexttext

Grok 4.3 vs Grok Build 0.1: 常见问题解答 (FAQ)

Which is more intelligent, Grok 4.3 or Grok Build 0.1?

Grok 4.3 is more intelligent. It scores 71 compared with 65 on the composite Intelligence Index.

Which model is faster?

Grok Build 0.1 is faster, generating 120 tokens per second compared with 110 tokens per second.

Which model is cheaper to run?

Grok Build 0.1 is cheaper at $0.57 per 1M tokens blended, compared with $0.72 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok Build 0.1 has lower latency, with a time to first token of 0.55s compared with 0.65s.

Which model has a larger context window?

Grok 4.3 has a larger context window, supporting 1M tokens compared with 256K tokens.

综合结论

综合来看，Grok 4.3（适合：面向复杂企业级推理、软件开发与全场景生产工作流的旗舰前沿任务、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 Grok Build 0.1（适合：专为自主软件工程、跨文件代码重构与复杂调试打造的旗舰编程任务、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：Grok 4.3 在综合智能与编程基准测试中表现更强，Grok Build 0.1 拥有更快的 Token 生成速度，而 Grok Build 0.1 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，Grok 4.3 和 Grok Build 0.1 哪个更强？+

在综合智能指数与编程基准评测中，Grok 4.3 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。

Grok 4.3 与 Grok Build 0.1 的 API 价格哪个更便宜？+

Grok 4.3 的 API 价格为输入 $1.25 / 输出 $2.50（每百万 Token），Grok Build 0.1 为输入 $1.00 / 输出 $2.00。综合混合成本来看，Grok Build 0.1 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？+

Grok 4.3 支持 1M Token 上下文窗口，而 Grok Build 0.1 支持 256K Token。在流式生成速度方面，Grok Build 0.1 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: xAI 与 xAI 官方 API 文档、模型发布说明及独立基准测试报告 (2026)。