GPT-4.1 Nano vs Grok 3

Summary of our 12‑test suite results (scores from payload):

• Grok 3 wins (B) on 7 tests: strategic analysis (B=5 vs A=2), creative problem solving (B=3 vs A=2), classification (B=4 vs A=3), long context (B=5 vs A=4), persona consistency (B=5 vs A=4), agentic planning (B=5 vs A=4), multilingual (B=5 vs A=4). In our testing Grok 3 ranks tied for 1st on multiple of these: strategic analysis (tied for 1st of 54), long context (tied for 1st of 55), classification (tied for 1st of 53), multilingual (tied for 1st of 55), persona consistency and agentic planning (both rank 1 ties). These wins mean Grok 3 is measurably stronger at nuanced tradeoff reasoning, multi‑step planning and retrieval/accuracy across large contexts and non‑English languages — directly relevant for complex summarization, enterprise extraction, and multi‑turn agent workflows.
• GPT‑4.1 Nano wins constrained rewriting (A=4 vs B=3). GPT‑4.1 Nano ranks 6 of 53 on constrained rewriting (tied with 24 others), indicating it handles hard compression/character‑limit tasks better in our tests.
• Four tests tie: structured output (both 5), tool calling (both 4), faithfulness (both 5), and safety calibration (both 2). Structured_output ties (both tied for 1st) indicate both models produce reliable JSON/schema‑compliant outputs in our testing. Tool_calling ties (rank 18 of 54 for both) suggest similar performance at function selection/argument sequencing in our suite. Faithfulness ties (both tied for 1st) means both stick to source material in our benchmarks.
• Context window vs benchmark nuance: GPT‑4.1 Nano shows a massively larger context_window in the payload (1,047,576 tokens) versus Grok 3 (131,072 tokens), yet Grok 3 scored higher on our long context benchmark (5 vs 4). That indicates Grok 3 performed better on retrieval/accuracy tasks at 30k+ token scenarios in our tests despite the raw window numbers.
• External math benchmarks (supplementary): GPT‑4.1 Nano scores 70% on MATH Level 5 and 28.9% on AIME 2025 (Epoch AI). Grok 3 has no external scores in the payload. Reference: Epoch AI for those two external math measures.

Per the payload, GPT‑4.1 Nano costs $0.10 per 1k input tokens and $0.40 per 1k output tokens. Grok 3 costs $3.00 per 1k input tokens and $15.00 per 1k output tokens. That means per 1,000,000 tokens (1,000 mTok): GPT‑4.1 Nano = $100 input + $400 output = $500 total; Grok 3 = $3,000 input + $15,000 output = $18,000 total. At 10M tokens/month: Nano ≈ $5,000 vs Grok 3 ≈ $180,000. At 100M tokens/month: Nano ≈ $50,000 vs Grok 3 ≈ $1,800,000. Who should care: startups, product teams, and high‑volume consumer apps will feel the gap immediately (orders of magnitude cheaper with Nano). Enterprises with mission‑critical needs for the specific benchmark strengths where Grok 3 leads may justify Grok 3’s cost for smaller, targeted workloads.

Choose GPT‑4.1 Nano if: you need the lowest per‑token cost and lowest latency for high‑volume production (Nano = $0.10 input / $0.40 output per 1k), you prioritize constrained rewriting/compression tasks, or you must keep monthly inference spend under tight limits. Choose Grok 3 if: you need stronger strategic reasoning, agentic planning, long‑context retrieval, multilingual output, or best‑in‑class classification — Grok 3 won 7 of 12 benchmarks in our tests, but expect roughly a 36× higher price ratio on input and ~37.5× on output (Nano combined ≈ $500/1M vs Grok 3 ≈ $18,000/1M).