Claude Sonnet 4.6 vs Ministral 3 8B 2512

Overview (our 12-test suite): Claude Sonnet 4.6 wins 8 tests, Ministral 3 8B 2512 wins 1, and 3 are ties. Details (scores are from our testing):

• Tool calling: Sonnet 4.6 5 vs Ministral 4. In our tests Sonnet ties for 1st of 54 (tied with 16 others); Ministral ranks 18/54. This matters for multi-step function selection and argument accuracy in agents — Sonnet is more reliable for orchestrating tools.
• Safety calibration: Sonnet 5 vs Ministral 1. Sonnet ties for 1st of 55; Ministral is rank 32/55. For apps that must refuse harmful requests or carefully allow borderline content, Sonnet is substantially safer in our testing.
• Agentic planning: Sonnet 5 vs Ministral 3. Sonnet ties for 1st of 54; Ministral ranks 42/54. Sonnet better decomposes goals and recovers from failure in our scenarios.
• Faithfulness: Sonnet 5 vs Ministral 4. Sonnet ties for 1st of 55; Ministral is mid-pack (rank 34/55). Sonnet sticks to source material more reliably in our tests.
• Long context: Sonnet 5 vs Ministral 4. Sonnet ties for 1st of 55; Ministral ranks 38/55. For retrieval and synthesis over 30k+ tokens, Sonnet performed better.
• Strategic analysis: Sonnet 5 vs Ministral 3. Sonnet ties for 1st of 54; Ministral ranks 36/54 — Sonnet gives stronger tradeoff reasoning with numbers in our tasks.
• Creative problem solving: Sonnet 5 vs Ministral 3. Sonnet ties for 1st of 54; Ministral ranks 30/54 — Sonnet produced more non-obvious, feasible ideas.
• Multilingual: Sonnet 5 vs Ministral 4. Sonnet is tied for 1st of 55; Ministral ranks 36/55 — Sonnet yields higher-quality non-English output in our tests.
• Constrained rewriting: Sonnet 3 vs Ministral 5. Ministral ties for 1st of 53 (with 4 others); Sonnet ranks 31/53. For tight compression within hard character limits, Ministral outperformed Sonnet in our tests.
• Structured output, Classification, Persona consistency: ties. Structured output both 4 (rank 26 of 54 for both); Classification both 4 (tied for 1st); Persona consistency both 5 (tied for 1st). These show parity on JSON/schema adherence, routing, and maintaining character. External benchmarks: Beyond our internal 1–5 scores, Claude Sonnet 4.6 scores 75.2% on SWE-bench Verified (Epoch AI) and 85.8% on AIME 2025 (Epoch AI); Sonnet ranks 4/12 on SWE-bench Verified and 10/23 on AIME 2025 in the payload. Ministral 3 8B 2512 has no external swebench/aime scores in the data provided. In short: our internal tests show Sonnet leading on tool orchestration, safety, planning, faithfulness, and long-context tasks, while Ministral’s clear win is constrained rewriting and its big advantage is price.

Raw per-mTok prices from the payload: Claude Sonnet 4.6 charges $3 input / $15 output per mTok; Ministral 3 8B 2512 charges $0.15 input / $0.15 output per mTok. Interpreting mTok as 1,000 tokens, here are example monthly totals under a 50/50 input/output split (stated explicitly):

• 1M tokens (1,000 mTok): Claude ≈ $9,000/month (500 mTok input × $3 = $1,500; 500 mTok output × $15 = $7,500). Ministral ≈ $150/month (500 mTok × $0.15 + 500 mTok × $0.15).
• 10M tokens: Claude ≈ $90,000/month; Ministral ≈ $1,500/month.
• 100M tokens: Claude ≈ $900,000/month; Ministral ≈ $15,000/month. If your usage is output-heavy (e.g., 25/75 input/output), Claude rises to ≈ $12,000/mo at 1M tokens while Ministral stays ≈ $150/mo. The payload’s priceRatio is 100, reflecting Claude’s ~100× higher output cost. Who should care: startups, consumer apps, and high-throughput services will find Ministral’s pricing compelling; research teams, enterprises needing best-in-class safety/tooling/long-context capabilities may justify Claude’s much higher costs.

Choose Claude Sonnet 4.6 if you need: high safety calibration, robust tool calling and agentic planning, faithful outputs, and long-context synthesis — e.g., enterprise agents, complex codebase navigation, and safety-sensitive production systems (Sonnet wins 8 of 12 benchmarks, and has SWE-bench Verified 75.2% and AIME 2025 85.8% per the payload). Choose Ministral 3 8B 2512 if you need: massive cost-efficiency and the best constrained-rewriting/compression performance (Ministral wins constrained rewriting 5 vs 3) — e.g., high-volume chatbots, cost-sensitive throughput, or workflows where every dollar per million tokens matters (Ministral ≈ $150/mo vs Sonnet ≈ $9,000/mo at 1M tokens, 50/50 split). If you must balance both, consider using Ministral for bulk generation and Sonnet for safety-critical or agentic components.