Ministral 3 14B 2512 vs o4 Mini
For most production use cases that prioritize accuracy, tool-calling, long-context handling and faithfulness, o4 Mini is the better pick — it wins 7 of 12 benchmarks in our tests. Ministral 3 14B 2512 is the sensible choice when cost is the primary constraint: it charges $0.20 per mTok (input/output) versus o4 Mini's $1.10 input / $4.40 output, and it wins the constrained rewriting test (4 vs 3).
mistral
Ministral 3 14B 2512
Benchmark Scores
External Benchmarks
Pricing
Input
$0.200/MTok
Output
$0.200/MTok
modelpicker.net
openai
o4 Mini
Benchmark Scores
External Benchmarks
Pricing
Input
$1.10/MTok
Output
$4.40/MTok
modelpicker.net
Benchmark Analysis
Summary of wins in our 12-test suite (scores shown as Ministral / o4 Mini):
- Structured output: 4 vs 5 — o4 Mini wins and ranks tied for 1st of 54 (tied with 24 others). This matters for JSON schema compliance and strict format tasks.
- Strategic analysis: 4 vs 5 — o4 Mini wins and is tied for 1st; expect better nuanced tradeoff reasoning with numbers on o4 Mini.
- Tool calling: 4 vs 5 — o4 Mini wins and is tied for 1st; o4 Mini is stronger at function selection, argument accuracy and sequencing in our tests.
- Faithfulness: 4 vs 5 — o4 Mini wins and ranks tied for 1st; it sticks to source material more reliably in our evaluations.
- Long context: 4 vs 5 — o4 Mini wins and ties for 1st on retrieval at 30K+ tokens; Ministral ranks 38 of 55 here, so o4 Mini better handles very long documents.
- Agentic planning: 3 vs 4 — o4 Mini wins (rank 16 vs Ministral rank 42), so decomposition and recovery are stronger on o4 Mini in our tests.
- Multilingual: 4 vs 5 — o4 Mini wins and ties for 1st; expect higher parity across languages on o4 Mini.
- Constrained rewriting: 4 vs 3 — Ministral wins and ranks 6 of 53 (good for tight character-limit compression tasks).
- Ties: creative problem solving (4/4), classification (4/4, both tied for 1st), persona consistency (5/5 tied for 1st), safety calibration (1/1). Interpretation: o4 Mini wins the majority (7 of 12) and holds top-tier ranks in structured output, tool calling, long context and faithfulness — making it preferable when correctness, tool integration and long-document retrieval matter. Ministral’s single clear advantage is constrained rewriting, and it is competitive or tied on several creative and classification tasks. Note both models scored identically low on safety calibration in our tests (1/1 tied), so neither has an advantage there.
Pricing Analysis
We compare costs assuming total monthly token usage is split 50/50 between input and output. 1M tokens = 1,000 mTok (500 mTok input + 500 mTok output): Ministral 3 14B 2512 = 500*$0.20 + 500*$0.20 = $200/month. o4 Mini = 500*$1.10 + 500*$4.40 = $2,750/month. Scale: 10M tokens → Ministral $2,000 vs o4 Mini $27,500; 100M tokens → Ministral $20,000 vs o4 Mini $275,000. The gap matters for any high-volume application (SaaS, search indexing, large chat fleets). Teams with <~1M tokens/mo and strict accuracy/tooling needs may accept o4 Mini's higher cost; teams at tens of millions of tokens/month should prefer Ministral to control spend unless the specific o4 Mini wins are business-critical.
Real-World Cost Comparison
Bottom Line
Choose Ministral 3 14B 2512 if: you need a dramatically lower-cost model for high-volume deployments (example: $200/mo vs $2,750/mo at 1M tokens with a 50/50 split), you prioritize constrained rewriting and good general performance at a fractional price. Choose o4 Mini if: you need top-tier structured output, reliable tool-calling, long-context retrieval (30K+), stronger faithfulness and strategic reasoning — o4 Mini wins 7 of 12 benchmarks in our tests, but at a much higher per-token cost ($1.10 input / $4.40 output).
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.