Gemini 3 Flash Preview vs Ministral 3 8B 2512

Across our 12-test suite, Gemini 3 Flash Preview wins 8 tests, Ministral 3 8B 2512 wins 1, and the two tie on 3. Detailed comparison (score: Gemini vs Ministral): structured output 5 vs 4 — Gemini is tied for 1st with 24 others out of 54, meaning it’s top-tier for JSON/schema compliance and format adherence. tool calling 5 vs 4 — Gemini is tied for 1st with 16 others (better function selection, argument accuracy, sequencing). long context 5 vs 4 — Gemini tied for 1st with 36 others (strong retrieval at 30K+ tokens). strategic analysis 5 vs 3 — Gemini ranks tied for 1st (nuanced tradeoff reasoning and numeric analysis). creative problem solving 5 vs 3 — Gemini tied for 1st (generates more specific, feasible ideas). agentic planning 5 vs 3 — Gemini tied for 1st (better goal decomposition and failure recovery). multilingual 5 vs 4 — Gemini tied for 1st (superior non-English parity). faithfulness 5 vs 4 — Gemini tied for 1st (sticks closer to source material). Ministral 3 8B 2512 wins constrained rewriting 5 vs 4 — tied for 1st with 4 others (better compression under hard character limits). Ties: classification 4 vs 4 (both tied for 1st with many models), safety calibration 1 vs 1 (both rank 32 of 55), persona consistency 5 vs 5 (both tied for 1st). External benchmarks: Gemini also scores 75.4% on SWE-bench Verified (Epoch AI), ranking 3 of 12 on that external coding test, and 92.8% on AIME 2025 (Epoch AI), ranking 5 of 23 — these third-party results supplement our internal wins and help explain Gemini’s advantage on coding and math-style reasoning. Ministral has no external SWE-bench / AIME scores in the payload. Practically, Gemini’s higher scores mean clearer wins for multi-turn agent workflows, tool integrations, long-document QA, and high-stakes reasoning; Ministral’s single win (constrained rewriting) and lower costs make it a better fit for tight-output budgets and compression-heavy tasks.

Pricing in the payload is per mTok. Gemini 3 Flash Preview: input $0.50 / mTok and output $3.00 / mTok. Ministral 3 8B 2512: input $0.15 / mTok and output $0.15 / mTok. For a balanced 50/50 input/output split: 1M tokens (1,000 mTok) costs Gemini $1,750 vs Ministral $150; 10M tokens costs Gemini $17,500 vs Ministral $1,500; 100M tokens costs Gemini $175,000 vs Ministral $15,000. In an output-heavy workload (100% output tokens): 1M tokens cost Gemini $3,000 vs Ministral $150 (20×); 10M cost Gemini $30,000 vs Ministral $1,500; 100M cost Gemini $300,000 vs Ministral $15,000. The output-rate gap is 20× (Gemini $3.00 vs Ministral $0.15); input cost gap is ~3.33× (Gemini $0.50 vs Ministral $0.15). Who should care: startups and high-volume APIs will feel Gemini’s cost quickly — at 10M tokens/month the bill difference is tens of thousands of dollars. Teams prioritizing top-tier tool use, long-context retrieval, and high-fidelity reasoning may justify Gemini’s price; cost-sensitive deployments, inference at scale, or lightweight vision/text tasks should prefer Ministral 3 8B 2512.

Choose Gemini 3 Flash Preview if: you need best-in-class tool-calling, long-context retrieval, strategic analysis, multilingual parity, or near-Pro reasoning and you can accept a much higher runtime cost (Gemini output $3.00 / mTok). Typical use cases: multi-step agents, extensive code assistance, 30K+ token document analysis, and multilingual enterprise assistants. Choose Ministral 3 8B 2512 if: budget per token matters, you need capable on-device or low-cost inference, or your workload is output-cost sensitive — it’s $0.15 / mTok output and wins constrained rewriting. Typical use cases: cost-sensitive vision+text apps, high-volume classification/routing where constrained rewriting or short-form outputs are common.