Which model is better: Claude 3.7 Sonnet or Grok 3?
Claude 3.7 Sonnet and Grok 3 share identical input pricing at $3.00 per 1M tokens ($15.00 vs. $15.00 output). In terms of operational performance, Claude 3.7 Sonnet delivers lower response latency at 540ms TTFT (80ms faster than Grok 3) with 72 vs. 88 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 65.8% for Grok 3 and 78.5% vs. 84.6% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
Claude 3.7 Sonnet
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$3.00
Identical Pricing
Output Cost / 1M Tokens
$15.00
$15.00
Identical Output Pricing
Prompt Cache Read / 1M
$0.300
$0.750
Claude 3.7 Sonnet is 2.5x cheaper
Prompt Cache Write / 1M
$3.75
$3.00
Grok 3 is 1.3x cheaper
Context Window (Max Output)
205k (64k out)
134k (16k out)
Claude 3.7 Sonnet (1.5x larger context)
Avg TTFT Response Latency
540ms
620ms
Claude 3.7 Sonnet (80ms faster)
Generation Speed (Throughput)
72 tok/s
88 tok/s
Grok 3 (+16 tok/s faster)
SWE-bench Verified (Coding)
70.3%
65.8%
Claude 3.7 Sonnet (+4.5% lead)
GPQA Diamond (PhD STEM)
78.5%
84.6%
Grok 3 (+6.1% lead)
MMLU-Pro (Multi-Discipline)
88%
80%
Claude 3.7 Sonnet (+8.0% lead)
MATH-500 (Quantitative Logic)
96.2%
89.8%
Claude 3.7 Sonnet (+6.4% lead)
Inference Value Score (IVR)
54.3 / 100
52.7 / 100
Claude 3.7 Sonnet (+1.6 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
Both Claude 3.7 Sonnet and Grok 3 share identical input pricing at $3.00/1M tokens.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.7 Sonnet or Grok 3?
Claude 3.7 Sonnet delivers faster first-token latency at 540ms TTFT (72 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.
How do Claude 3.7 Sonnet and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.7 Sonnet scores 70.3% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, Claude 3.7 Sonnet scores 78.5% versus 84.6% for Grok 3 (and 96.2% vs 89.8% on MATH-500).
When should you choose Claude 3.7 Sonnet?
Choose Claude 3.7 Sonnet (Anthropic) for full-stack repository development, complex code refactoring, and agentic tool use with predictable prompt cache economics — offering a 204k context window, 540ms TTFT, and $3.00/1M input pricing ($0.300/1M cached reads).
When should you choose Grok 3?
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
