Claude Opus 4.6 vs Grok Build 0.1
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Claude Opus 4.6 by Anthropic and Grok Build 0.1 by xAI 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, Grok Build 0.1 holds a notable pricing advantage for token ingestion. On output generation, Grok Build 0.1 is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, Claude Opus 4.6 provides an expanded memory horizon with 1,000K tokens. In latency-sensitive production environments, Grok Build 0.1 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.
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Claude Opus 4.6
深度推理模型Anthropic 推出的 Claude Opus 4.6 人工智能模型，具备 1M 上下文窗口，输入价格为 $5/百万 Token，输出价格为 $25/百万 Token，专为高质量生产环境、推理与自动化工作流打造。
$5.00 / 1M
$25.00 / 1M
1M tokens
78.4%
Grok Build 0.1
深度推理模型xAI 推出的 Grok Build 0.1 人工智能模型，具备 256K 上下文窗口，输入价格为 $1.0/百万 Token，输出价格为 $2.0/百万 Token，专为高质量生产环境、推理与自动化工作流打造。
$1.00 / 1M
$2.00 / 1M
256K tokens
69.8%
核心差异一览
- Grok Build 0.1 is 8.4x cheaper for API usage (input + output tokens combined).
- Claude Opus 4.6 has a larger context window (1M vs 256K tokens).
- Grok Build 0.1 is faster at 120 tok/s vs 55 tok/s.
- Claude Opus 4.6 leads on SWE-bench coding (78.4% vs 69.8%).
| Feature | Claude Opus 4.6 | Grok Build 0.1 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 65 | 65 |
Provider | Anthropic | xAI |
Input Price Cost per million input tokens | $5.00 / 1M | $1.00 / 1M |
Output Price Cost per million output tokens | $25.00 / 1M | $2.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $3.85 / 1M | $0.57 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 A4 pages of text | 256K tokens~384 A4 pages of text |
Max Output Tokens Per single request | 128K | 66K |
Throughput Speed Tokens generated per second | 55 tok/s | 120 tok/s |
SWE-bench Verified Real-world software engineering | 78.4% | 69.8% |
GPQA Diamond Graduate-level reasoning | 76.5% | 68.2% |
Cached Input Price Prompt caching discount per 1M tokens | $0.50 / 1M | $0.25 / 1M |
各项指标谁更胜一筹？
At-a-glance decision framework权威基准测试得分对比
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.
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.
Claude Opus 4.6 · Strengths & Key Advantages
- 由 Anthropic 研发的高精度 Megacontext Frontier Reasoning Transformer 架构，支持 1M 上下文窗口
- 极具竞争力的 API 定价（输入 $5/1M，输出 $25/1M），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
Grok Build 0.1 · Strengths & Key Advantages
- 由 xAI 研发的高精度 Code-Specialized Autoregressive Transformer 架构，支持 256K 上下文窗口
- 极具竞争力的 API 定价（输入 $1.0/1M，输出 $2.0/1M），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.
| Metric | Claude Opus 4.6 | Grok Build 0.1 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $5.49 | $0.95 |
Output Tokens / Task Tokens generated per task | 72K | 42K |
Reasoning Tokens / Task Thinking tokens burned per task | 37K | 18K |
技术规格参数
Architecture, release timeline, capabilities, and modalities.
| Feature | Claude Opus 4.6 | Grok Build 0.1 |
|---|---|---|
| Official API Model ID (SDK) | claude-opus-4-6-20260201 | grok-build-0-1-latest |
| API Protocol | Anthropic Messages API + AWS Bedrock + Vertex AI | xAI REST API (OpenAI-Compatible) |
| Release Date | 2026-02 | 2026-04 |
| Knowledge Cutoff | December 2025 | January 2026 |
| Architecture | Megacontext Frontier Reasoning Transformer | Code-Specialized Autoregressive Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens | Flat rate ($1/1M in) across full 256K window |
| Prompt Cache Policy & TTL | $0.5/1M cached read (90% off); 5-min default & 1-hour extended TTL | Cached input at $0.25/1M tokens |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) |
| 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 | Native Web Search Citations + Code Execution Tool + MCP Connectors | Real-time Web & X (Twitter) Search Grounding + Code Execution |
| Official Fine-Tuning Support | Custom Model Tuning via Amazon Bedrock & Prompt Distillation | API Prompt Engineering & RAG 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 | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated | xAI Production Safety & Alignment 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 |
Claude Opus 4.6 vs Grok Build 0.1: 常见问题解答 (FAQ)
Which model is faster?
Grok Build 0.1 is faster, generating 120 tokens per second compared with 55 tokens per second.
Which model is cheaper to run?
Grok Build 0.1 is cheaper at $0.57 per 1M tokens blended, compared with $3.85 (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 1.90s.
Which model has a larger context window?
Claude Opus 4.6 has a larger context window, supporting 1M tokens compared with 256K tokens.
综合结论
Verdict & Model Selection Recommendation: Choose Claude Opus 4.6 if your priority is Large repository code refactoring, full-book technical translation, and enterprise legal discovery. Its performance in demanding tasks justifies its operational token cost. Choose Grok Build 0.1 if your workflow prioritizes IDE copilots, automated PR review agents, and rapid iterative software prototyping. 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 Claude Opus 4.6 compare to Grok Build 0.1 in API token pricing and cost per token?+
Claude Opus 4.6 costs $5.00 per 1M input tokens and $25.00 per 1M output tokens, whereas Grok Build 0.1 costs $1.00 input and $2.00 output. Overall, Grok Build 0.1 is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.
Which model has a larger context window: Claude Opus 4.6 or Grok Build 0.1?+
Claude Opus 4.6 supports a context window of 1,000K tokens (~750k words), while Grok Build 0.1 supports 256K tokens (~192k words). Therefore, Claude Opus 4.6 can process more textual data and document context in a single prompt.
Which AI model is better for software engineering and coding: Claude Opus 4.6 or Grok Build 0.1?+
Claude Opus 4.6 scores 78.4% on SWE-bench Verified while Grok Build 0.1 scores 69.8%. For autonomous software engineering and multi-file debugging, Claude Opus 4.6 holds the verified benchmark lead.
What is the difference in reasoning capability and extended thinking between Claude Opus 4.6 and Grok Build 0.1?+
Claude Opus 4.6 features native chain-of-thought extended thinking mode with configurable reasoning effort. In contrast, Grok Build 0.1 provides chain-of-thought reasoning depth for complex math and science.
How does inference speed (tokens per second) compare between Claude Opus 4.6 and Grok Build 0.1?+
Claude Opus 4.6 generates approximately 55 tokens per second, while Grok Build 0.1 delivers 120 tokens per second. In latency-sensitive production environments, Grok Build 0.1 provides faster time-to-first-token (TTFT) and higher streaming response velocity.
Can you implement a tiered LLM routing setup combining Claude Opus 4.6 and Grok Build 0.1 to optimize costs?+
Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Grok Build 0.1 to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Claude Opus 4.6. This tiered routing pattern cuts overall API bills by up to 70%.
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.
数据来源: GetInfoUs Independent AI Benchmarks & Official API Specs