GPT-4.1 vs Grok 3 Mini
In our testing GPT-4.1 is the better pick for most production use cases that need long-context reasoning, strategic analysis, tool calling, and faithfulness. Grok 3 Mini wins only on safety calibration and is a much cheaper option ($0.3 input / $0.5 output vs GPT-4.1's $2 / $8 per mTok), so it’s the pragmatic choice for high-volume, cost-sensitive apps.
openai
GPT-4.1
Benchmark Scores
External Benchmarks
Pricing
Input
$2.00/MTok
Output
$8.00/MTok
modelpicker.net
xai
Grok 3 Mini
Benchmark Scores
External Benchmarks
Pricing
Input
$0.300/MTok
Output
$0.500/MTok
modelpicker.net
Benchmark Analysis
Summary of head-to-head results in our 12-test suite: GPT-4.1 wins strategic analysis (5 vs 3), constrained rewriting (5 vs 4), agentic planning (4 vs 3), and multilingual (5 vs 4). Grok 3 Mini wins safety calibration (2 vs GPT-4.1's 1). They tie on structured output (4/4), creative problem solving (3/3), tool calling (5/5), faithfulness (5/5), classification (4/4), long context (5/5), and persona consistency (5/5). What that means in practice: GPT-4.1’s top scores in strategic analysis and constrained rewriting indicate it better handles nuanced tradeoffs and strict-character compression (useful for pricing analysis, product tradeoffs, and ad/SMS copy). GPT-4.1’s agentic planning edge (4 vs 3) translates to stronger goal decomposition and recovery in multi-step workflows; its multilingual 5 vs 4 means higher parity across languages in our tests. Grok 3 Mini’s single win—safety calibration (2 vs 1)—means it was more likely to calibrate refusals correctly in our safety tests. Both models tie on tool calling (5/5) and faithfulness (5/5), so expect comparable function selection and adherence to source material in our evaluations. Context window matters: GPT-4.1 supports a 1,047,576-token window vs Grok 3 Mini’s 131,072, so for retrieval, chunked docs, and extremely large contexts GPT-4.1 has a practical advantage despite the tied long context score. External benchmarks: GPT-4.1 also reports SWE-bench Verified 48.5, MATH Level 5 = 83, and AIME 2025 = 38.3 (on SWE-bench Verified / MATH Level 5 / AIME 2025 per Epoch AI); Grok 3 Mini has no external scores in the payload.
Pricing Analysis
Pricing per mTok: GPT-4.1 charges $2 input and $8 output; Grok 3 Mini charges $0.3 input and $0.5 output. Assuming a 50/50 split of input/output tokens, cost per 1M tokens (1,000 mTok = 1M tokens): GPT-4.1 = 500*(2+8) = $5,000; Grok 3 Mini = 500*(0.3+0.5) = $400. Scale these: 10M tokens → GPT-4.1 $50,000 vs Grok $4,000; 100M tokens → GPT-4.1 $500,000 vs Grok $40,000. Who should care: startups, consumer apps, or enterprise high-throughput services will see six-figure monthly differences at 10–100M tokens; teams prioritizing accuracy, long-context reasoning, or advanced tool usage may accept GPT-4.1’s higher cost, while bandwidth-heavy or prototype workloads should favor Grok 3 Mini for its ~12.5x–16x lower per-token bill depending on I/O mix.
Real-World Cost Comparison
Bottom Line
Choose GPT-4.1 if you need: - Maximum context (1,047,576 tokens) for retrieval/analysis tasks; - Top-tier strategic analysis, constrained rewriting, agentic planning, and multilingual parity (scores 5/5 in those where it wins); - Best-in-class tool calling and faithfulness in our tests, and you can absorb $2/$8 per mTok. Choose Grok 3 Mini if you need: - A highly cost-efficient model for high-volume production ($0.3/$0.5 per mTok) where the tied strengths (tool calling, faithfulness, long-context up to 131K tokens) are sufficient; - Better safety calibration behavior in our tests; - Lightweight deployments where raw throughput and cost matter more than the incremental accuracy gains GPT-4.1 provides.
How We Test
We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.