GPT-4.1 Mini vs Grok 3 Mini
There is no clear overall winner: GPT-4.1 Mini wins on strategic analysis, agentic planning and multilingual tasks, while Grok 3 Mini wins tool calling, faithfulness and classification. Pick GPT-4.1 Mini when you need stronger strategic reasoning, long-context and multilingual quality; pick Grok 3 Mini when cost and tool-calling/faithfulness are the priority (it’s substantially cheaper).
openai
GPT-4.1 Mini
Benchmark Scores
External Benchmarks
Pricing
Input
$0.400/MTok
Output
$1.60/MTok
modelpicker.net
xai
Grok 3 Mini
Benchmark Scores
External Benchmarks
Pricing
Input
$0.300/MTok
Output
$0.500/MTok
modelpicker.net
Benchmark Analysis
Head-to-head by test (our 12-test suite):
- Strategic analysis: GPT-4.1 Mini 4 vs Grok 3 Mini 3 — GPT-4.1 Mini wins; ranks 27 of 54 in our pool, so it’s above many peers for nuanced tradeoff reasoning. This matters for pricing models, financial tradeoffs, or multi-step planning tasks.
- Agentic planning: GPT-4.1 Mini 4 vs Grok 3 Mini 3 — GPT-4.1 Mini wins; ranked 16 of 54 (ties included), so better at goal decomposition and recovery in our tests.
- Multilingual: GPT-4.1 Mini 5 vs Grok 3 Mini 4 — GPT-4.1 Mini wins and is tied for 1st in long lists, so non-English parity is stronger in our runs.
- Tool calling: Grok 3 Mini 5 vs GPT-4.1 Mini 4 — Grok 3 Mini wins and is tied for 1st on this test (tool selection, argument accuracy, sequencing), so it’s the better pick for function-driven agent flows.
- Faithfulness: Grok 3 Mini 5 vs GPT-4.1 Mini 4 — Grok 3 Mini tied for 1st on faithfulness, meaning it more reliably sticks to source material in our evaluations.
- Classification: Grok 3 Mini 4 vs GPT-4.1 Mini 3 — Grok 3 Mini wins and ranks tied for 1st here, useful for routing, tagging and intent classification.
- Long context: both score 5 and are tied for 1st with many models — both handle 30K+ token retrieval in our tests.
- Structured output, constrained rewriting, creative problem solving, safety calibration, persona consistency: ties (scores equal across both models). For example, structured output is 4/4 and constrained rewriting 4/4. Additional evidence: GPT-4.1 Mini posts external math results in our payload: 87.3% on MATH Level 5 and 44.7% on AIME 2025 (Epoch AI), which supports its strength on harder quantitative tasks; Grok 3 Mini has no external math scores in this payload. In short, Grok 3 Mini dominates tool-calling, faithfulness and classification in our suite while GPT-4.1 Mini leads on planning, multilingual and quantitative reasoning; the rest are ties.
Pricing Analysis
Costs are listed per thousand tokens (mTok). GPT-4.1 Mini: input $0.4 + output $1.6 = $2.00 per mTok. Grok 3 Mini: input $0.3 + output $0.5 = $0.80 per mTok. At 1M tokens (1,000 mTok): GPT-4.1 Mini ≈ $2,000/month vs Grok 3 Mini ≈ $800/month. At 10M tokens: $20,000 vs $8,000. At 100M tokens: $200,000 vs $80,000. The ~ $1.20/mTok gap (~$1,200 per 1M tokens) matters for high-volume products (SaaS with many API calls, embedding-heavy apps, large-scale summarization). Small projects or experiments (<1M tokens/month) may absorb the premium for GPT-4.1 Mini; production services at tens or hundreds of millions of tokens should prefer Grok 3 Mini to reduce recurring cost unless the specific quality wins of GPT-4.1 Mini are required.
Real-World Cost Comparison
Bottom Line
Choose GPT-4.1 Mini if you need: strategic analysis, agentic planning, strong multilingual output, long-context retrieval, or higher math ability (MATH Level 5 87.3%, AIME 2025 44.7% in our payload). Choose Grok 3 Mini if you need: the lowest per-token cost ($0.3 input / $0.5 output), best-in-suite tool calling (5/5, tied for 1st), top faithfulness (5/5, tied for 1st) or the strongest classification performance. If you’re building high-volume, tool-driven agentic systems, Grok 3 Mini is the cost-effective choice; if accuracy on strategy, planning and multilingual tasks matters more than cost, use GPT-4.1 Mini.
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.