💰 Unit Cost Winner Grok 3 Mini $0.30/1M in · $1.20/1M out
⚡ Latency & Speed Winner Grok 3 Mini 150ms TTFT · 160 tok/s
💻 Coding (SWE) Winner Claude 3.7 Sonnet 70.3% SWE-bench · 93.5% HumanEval
🧠 STEM Reasoning Winner Claude 3.7 Sonnet 78.5% GPQA · 96.2% MATH-500

Which model is better: Claude 3.7 Sonnet or Grok 3 Mini?

Grok 3 Mini is 90.0% cheaper for input tokens ($0.30 vs. $3.00 per 1M tokens) and $1.20 vs. $15.00 for output tokens (10.0x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (390ms faster than Claude 3.7 Sonnet) with 160 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 54.0% for Grok 3 Mini and 78.5% vs. 68.0% 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 3 Mini Net Delta / Advantage
Input Cost / 1M Tokens $3.00 $0.30 Grok 3 Mini is 10.0x cheaper
Output Cost / 1M Tokens $15.00 $1.20 Grok 3 Mini (92.0% lower)
Prompt Cache Read / 1M $0.300 $0.080 Grok 3 Mini is 3.8x cheaper
Prompt Cache Write / 1M $3.75 $0.30 Grok 3 Mini is 12.5x cheaper
Context Window (Max Output) 205k (64k out) 131k (16k out) Claude 3.7 Sonnet (1.6x larger context)
Avg TTFT Response Latency 540ms 150ms Grok 3 Mini (390ms faster)
Generation Speed (Throughput) 72 tok/s 160 tok/s Grok 3 Mini (+88 tok/s faster)
SWE-bench Verified (Coding) 70.3% 54% Claude 3.7 Sonnet (+16.3% lead)
GPQA Diamond (PhD STEM) 78.5% 68% Claude 3.7 Sonnet (+10.5% lead)
MMLU-Pro (Multi-Discipline) 88% 80% Claude 3.7 Sonnet (+8.0% lead)
MATH-500 (Quantitative Logic) 96.2% 87% Claude 3.7 Sonnet (+9.2% lead)
Inference Value Score (IVR) 54.3 / 100 69.2 / 100 Grok 3 Mini (+14.9 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 3 Mini $10.75

$0.30/1M in · $1.20/1M out

Prompt Cache: $0.080/1M read · $0.30/1M write

Projected Monthly Cost Reduction
$105.50 / mo
(90.8% lower cost with Grok 3 Mini)
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 3 Mini

Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Claude 3.7 Sonnet or Grok 3 Mini?

Grok 3 Mini is cheaper at $0.30/1M input tokens ($1.20/1M 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 3 Mini?

Grok 3 Mini delivers faster first-token latency at 150ms TTFT (160 tok/s throughput) compared to 540ms TTFT (72 tok/s) for Claude 3.7 Sonnet.

How do Claude 3.7 Sonnet and Grok 3 Mini compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Claude 3.7 Sonnet scores 70.3% versus 54% for Grok 3 Mini. On GPQA Diamond graduate-level STEM reasoning, Claude 3.7 Sonnet scores 78.5% versus 68% for Grok 3 Mini (and 96.2% vs 87% 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 Mini?

Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).

Explore High-Priority Related Model Matchups