GPT-5 Mini vs Llama 4 Scout

Head-to-head by test (our 12-test suite): GPT-5 Mini wins structured output (5 vs 4) and is tied for 1st on that metric ("tied for 1st with 24 other models out of 54 tested"). It wins strategic analysis (5 vs 2; tied for 1st with 25 others), constrained rewriting (4 vs 3; rank 6 of 53), creative problem solving (4 vs 3; rank 9 of 54), faithfulness (5 vs 4; tied for 1st with 32 others), safety calibration (3 vs 2; rank 10 of 55), persona consistency (5 vs 3; tied for 1st with 36 others), agentic planning (4 vs 2; rank 16 of 54), and multilingual (5 vs 4; tied for 1st with 34 others). Llama 4 Scout wins tool calling (4 vs 3; Scout rank 18 of 54, GPT-5 Mini rank 47 of 54). Classification is tied (4 vs 4; both tied for 1st with many models), and long context is tied (5 vs 5; both tied for 1st). Practical meaning: GPT-5 Mini’s 5/5s on structured output, faithfulness, multilingual and long context indicate stronger JSON/schema compliance, fewer hallucinations, consistent multi-language output, and reliable retrieval over 30K+ tokens. Scout’s advantage in tool calling (4/5) means better function selection and sequencing for integrations where cost matters. External benchmarks (supplementary): GPT-5 Mini scores 64.7% on SWE-bench Verified (Epoch AI), 97.8% on MATH Level 5, and 86.7% on AIME 2025 (Epoch AI); these place it rank 8/12 on SWE-bench, rank 2/14 on MATH Level 5 (3-way tie), and rank 9/23 on AIME — further evidence of strong math/coding capability. Llama 4 Scout has no SWE/MATH/AIME external scores in the payload.

Pricing gap: GPT-5 Mini output $2.00 per 1k tokens vs Llama 4 Scout $0.30 per 1k tokens (priceRatio 6.6667). Output-only costs: 1M tokens → GPT-5 Mini $2,000 vs Scout $300; 10M → $20,000 vs $3,000; 100M → $200,000 vs $30,000. Input costs: GPT-5 Mini $0.25 per 1k (1M input = $250) vs Scout $0.08 per 1k (1M input = $80). If you send and receive equal tokens (1:1 input:output), combined costs are: 1M in+out → GPT-5 Mini $2,250 vs Scout $380; 10M → $22,500 vs $3,800; 100M → $225,000 vs $38,000. Who should care: teams operating at millions of tokens/month (SaaS, high-traffic chatbots, embedding-heavy apps) will see large monthly differences; prototypes, cost-sensitive products, or deployments at scale may prefer Llama 4 Scout for the lower bills.

Choose GPT-5 Mini if you need dependable structured outputs, high faithfulness, multilingual parity, stronger strategic reasoning, or top math performance (MATH Level 5 97.8% / AIME 86.7% in our data) and can absorb higher per-token costs. Choose Llama 4 Scout if budget and scale are primary constraints and you need a capable, inexpensive model for chat, tool calling, or large-volume deployments (Scout output $0.30 vs GPT-5 Mini $2.00 per 1k tokens).