💰 Unit Cost Winner Grok 4 $2.50/1M in · $12.50/1M out
⚡ Latency & Speed Winner Grok 4 480ms TTFT · 95 tok/s
💻 Coding (SWE) Winner Grok 4 73.2% SWE-bench · 95% HumanEval
🧠 STEM Reasoning Winner Grok 4 86.2% GPQA · 97.6% MATH-500

Which model is better: Claude 3.7 Sonnet or Grok 4?

Grok 4 is 16.7% cheaper for input tokens ($2.50 vs. $3.00 per 1M tokens) and $12.50 vs. $15.00 for output tokens (1.2x cost advantage). In terms of operational performance, Grok 4 delivers lower response latency at 480ms TTFT (60ms faster than Claude 3.7 Sonnet) with 95 vs. 72 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 70.3% for Claude 3.7 Sonnet and 86.2% vs. 78.5% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.

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 4 Net Delta / Advantage
Input Cost / 1M Tokens $3.00 $2.50 Grok 4 is 1.2x cheaper
Output Cost / 1M Tokens $15.00 $12.50 Grok 4 (16.7% lower)
Prompt Cache Read / 1M $0.300 $0.500 Claude 3.7 Sonnet is 1.7x cheaper
Prompt Cache Write / 1M $3.75 $2.50 Grok 4 is 1.5x cheaper
Context Window (Max Output) 205k (64k out) 262k (66k out) Grok 4 (1.3x larger context)
Avg TTFT Response Latency 540ms 480ms Grok 4 (60ms faster)
Generation Speed (Throughput) 72 tok/s 95 tok/s Grok 4 (+23 tok/s faster)
SWE-bench Verified (Coding) 70.3% 73.2% Grok 4 (+2.9% lead)
GPQA Diamond (PhD STEM) 78.5% 86.2% Grok 4 (+7.7% lead)
MMLU-Pro (Multi-Discipline) 88% 89.9% Grok 4 (+1.9% lead)
MATH-500 (Quantitative Logic) 96.2% 97.6% Grok 4 (+1.4% lead)
Inference Value Score (IVR) 54.3 / 100 57.6 / 100 Grok 4 (+3.3 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.

25.0M Tokens
500K 50M 250M 500M+
5.0M Tokens
100K 25M 75M 150M+
50% Cached
0% (Uncached) 25% 50% (Typical Agent) 95% Max

Estimated Monthly Spend

Claude 3.7 Sonnet $116.25

$3.00/1M in · $15.00/1M out

Prompt Cache: $0.300/1M read · $3.75/1M write

Grok 4 $100.00

$2.50/1M in · $12.50/1M out

Prompt Cache: $0.500/1M read · $2.50/1M write

Projected Monthly Cost Reduction
$16.25 / mo
(14.0% lower cost with Grok 4)
Open Full Matchup Analysis →
A

When to 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).

B

When to Choose Grok 4

Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Claude 3.7 Sonnet or Grok 4?

Grok 4 is cheaper at $2.50/1M input tokens ($12.50/1M output) compared to $3.00/1M input ($15.00/1M output) for Claude 3.7 Sonnet.

Which model has lower TTFT latency and higher tok/s throughput: Claude 3.7 Sonnet or Grok 4?

Grok 4 delivers faster first-token latency at 480ms TTFT (95 tok/s throughput) compared to 540ms TTFT (72 tok/s) for Claude 3.7 Sonnet.

How do Claude 3.7 Sonnet and Grok 4 compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Claude 3.7 Sonnet scores 70.3% versus 73.2% for Grok 4. On GPQA Diamond graduate-level STEM reasoning, Claude 3.7 Sonnet scores 78.5% versus 86.2% for Grok 4 (and 96.2% vs 97.6% 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 4?

Choose Grok 4 (xAI) for real-time financial/market intelligence, PhD-level STEM problem solving, and autonomous code generation — offering a 262k context window, 480ms TTFT, and $2.50/1M input pricing ($0.500/1M cached reads).

Explore High-Priority Related Model Matchups