GPT-4o-mini vs Grok 3
Grok 3 is the better pick for accuracy-sensitive and long-context tasks — it wins 8 of 12 benchmarks in our tests, including structured output and faithfulness. GPT-4o-mini is the choice when cost and safety calibration matter: it wins safety calibration and is far cheaper ($0.15 input / $0.6 output vs Grok 3's $3 / $15 per mTok).
openai
GPT-4o-mini
Benchmark Scores
External Benchmarks
Pricing
Input
$0.150/MTok
Output
$0.600/MTok
modelpicker.net
xai
Grok 3
Benchmark Scores
External Benchmarks
Pricing
Input
$3.00/MTok
Output
$15.00/MTok
modelpicker.net
Benchmark Analysis
Summary of head-to-head scores from our 12-test suite (our testing):
- Grok 3 wins (8 tests): structured output 5 vs GPT-4o-mini 4 (Grok 3 tied for 1st in our ranking for structured output); strategic analysis 5 vs 2 (Grok 3 tied for 1st on strategic analysis); faithfulness 5 vs 3 (Grok 3 tied for 1st on faithfulness); long context 5 vs 4 (Grok 3 tied for 1st on long context); persona consistency 5 vs 4 (Grok 3 tied for 1st); agentic planning 5 vs 3 (Grok 3 tied for 1st); multilingual 5 vs 4 (Grok 3 tied for 1st); creative problem solving 3 vs 2 (Grok 3 ranks higher). These wins indicate Grok 3 is stronger for precise schema compliance, retrieval and operations across 30K+ token contexts, consistent character/persona, nuanced tradeoff reasoning, and faithful adherence to sources — all important for data extraction, enterprise summarization, and multi-step planning.
- GPT-4o-mini wins safety calibration 4 vs 2 (GPT-4o-mini ranks 6th of 55 on safety calibration in our rankings vs Grok 3's rank 12 of 55), meaning GPT-4o-mini refused harmful requests more reliably in our tests while allowing legitimate ones.
- Ties: constrained rewriting 3/3 (both equal), tool calling 4/4 (both perform similarly on function selection and argument accuracy), classification 4/4 (both tied for 1st among many models). For tool-calling and classification tasks you can expect comparable results from either model.
- Math/olympiad context (GPT-4o-mini only in payload): GPT-4o-mini scored 52.6 on Math Level 5 and 6.9 on AIME 2025 in our tests, ranking 13/14 and 21/23 respectively — these results signal weakness on advanced competition math in our evaluation. (No external benchmark overrides included for these models in the payload.)
Pricing Analysis
Pricing per 1,000 tokens (mTok) from the payload: GPT-4o-mini input $0.15, output $0.60; Grok 3 input $3, output $15. At 1M tokens (1,000 mTok): GPT-4o-mini costs $150 (all-input), $600 (all-output), $375 (50/50 split); Grok 3 costs $3,000 (all-input), $15,000 (all-output), $9,000 (50/50). At 10M tokens multiply those by 10 (GPT-4o-mini $1,500/$6,000/$3,750; Grok 3 $30,000/$150,000/$90,000). At 100M tokens multiply by 100 (GPT-4o-mini $15,000/$60,000/$37,500; Grok 3 $300,000/$1,500,000/$900,000). Who should care: startups, high-volume SaaS, and consumer apps will see multi‑ten‑to‑hundreds of thousands USD difference at scale and should prefer GPT-4o-mini for cost-efficiency. Enterprises prioritizing the quality dimensions Grok 3 wins (structured outputs, long context, faithfulness, agentic planning) may justify Grok 3's price for smaller or mission-critical workloads.
Real-World Cost Comparison
Bottom Line
Choose GPT-4o-mini if: you need a cost-efficient model for high-volume chat, apps where safety calibration matters, or mixed text+image inputs (GPT-4o-mini costs $0.15/mTok input and $0.60/mTok output). Choose Grok 3 if: you prioritize structured JSON/schema compliance, long-context retrieval, faithfulness, agentic planning, or multilingual/persona consistency — Grok 3 won 8 of 12 benchmarks in our tests but costs $3/mTok input and $15/mTok output, so reserve it for lower-volume or mission-critical workloads.
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.