Ministral 3 14B 2512 vs Ministral 3 3B 2512

For most developer and consumer AI use cases, choose Ministral 3 14B 2512 for stronger strategic reasoning, creative problem solving, and persona consistency. Ministral 3 3B 2512 is the better value pick — it wins on faithfulness and constrained rewriting and costs half as much.

mistral

Ministral 3 14B 2512

Overall
3.75/5Strong

Benchmark Scores

Faithfulness
4/5
Long Context
4/5
Multilingual
4/5
Tool Calling
4/5
Classification
4/5
Agentic Planning
3/5
Structured Output
4/5
Safety Calibration
1/5
Strategic Analysis
4/5
Persona Consistency
5/5
Constrained Rewriting
4/5
Creative Problem Solving
4/5

External Benchmarks

SWE-bench Verified
N/A
MATH Level 5
N/A
AIME 2025
N/A

Pricing

Input

$0.200/MTok

Output

$0.200/MTok

Context Window262K

modelpicker.net

mistral

Ministral 3 3B 2512

Overall
3.58/5Strong

Benchmark Scores

Faithfulness
5/5
Long Context
4/5
Multilingual
4/5
Tool Calling
4/5
Classification
4/5
Agentic Planning
3/5
Structured Output
4/5
Safety Calibration
1/5
Strategic Analysis
2/5
Persona Consistency
4/5
Constrained Rewriting
5/5
Creative Problem Solving
3/5

External Benchmarks

SWE-bench Verified
N/A
MATH Level 5
N/A
AIME 2025
N/A

Pricing

Input

$0.100/MTok

Output

$0.100/MTok

Context Window131K

modelpicker.net

Benchmark Analysis

All scores below are from our 12-test suite on a 1–5 scale. Wins/ties follow our reported comparisons. Strategic analysis: Ministral 3 14B 2512 scores 4 vs Ministral 3 3B 2512's 2 — in our testing 14B ranks 27 of 54 while 3B ranks 44 of 54, so 14B is clearly better for nuanced numerical tradeoffs. Constrained rewriting: 3B scores 5 vs 14B's 4 — 3B is tied for 1st on this test, indicating it compresses/rewrites within hard limits more reliably. Structured output: tie at 4/5; both rank similarly (26 of ~54) and will produce comparable JSON/schema-compliant outputs. Long context: tie at 4/5, but 14B has a 262,144-token window versus 3B's 131,072 — same score but 14B supports larger documents in practice. Persona consistency: 14B 5 vs 3B 4 — 14B is tied for the top rank, so it maintains character and resists injection better. Agentic planning: tie at 3/5 for both (rank ~42), so neither is a standout for complex multi-step recovery. Faithfulness: 3B 5 vs 14B 4 — 3B is tied for 1st here, so it sticks to source material with fewer hallucinations in our tests. Classification: tie at 4/5 (both tied for top ranks), so routing and categorization are comparable. Multilingual: tie at 4/5 for both (no practical difference in our tests). Creative problem solving: 14B 4 vs 3B 3 — 14B ranks higher (rank 9 vs rank 30), producing more specific, feasible ideas. Tool calling: tie at 4/5 (both rank 18 of 54), so function selection and argument accuracy are similar. Safety calibration: both score 1/5 and share the same rank, indicating both struggle to balance refusals vs permitted content in our testing. In short: 14B wins on strategic analysis, creative problem solving, and persona consistency; 3B wins on constrained rewriting and faithfulness; the rest are ties.

BenchmarkMinistral 3 14B 2512Ministral 3 3B 2512
Faithfulness4/55/5
Long Context4/54/5
Multilingual4/54/5
Tool Calling4/54/5
Classification4/54/5
Agentic Planning3/53/5
Structured Output4/54/5
Safety Calibration1/51/5
Strategic Analysis4/52/5
Persona Consistency5/54/5
Constrained Rewriting4/55/5
Creative Problem Solving4/53/5
Summary3 wins2 wins

Pricing Analysis

Per the payload, Ministral 3 14B 2512 charges $0.20 per mTok for input and $0.20 per mTok for output (combined $0.40/mTok). Ministral 3 3B 2512 charges $0.10 input + $0.10 output (combined $0.20/mTok). That means per million tokens processed (input+output): 14B ≈ $400, 3B ≈ $200. At 10M tokens/month: 14B ≈ $4,000 vs 3B ≈ $2,000. At 100M tokens/month: 14B ≈ $40,000 vs 3B ≈ $20,000. Teams with heavy traffic, narrow margins, or large user bases should care about this gap; for small projects or high-value tasks the 14B's higher capabilities can justify the extra $200 per million tokens.

Real-World Cost Comparison

TaskMinistral 3 14B 2512Ministral 3 3B 2512
iChat response<$0.001<$0.001
iBlog post<$0.001<$0.001
iDocument batch$0.014$0.0070
iPipeline run$0.140$0.070

Bottom Line

Choose Ministral 3 14B 2512 if you need better strategic reasoning, higher creative output, stronger persona consistency, or the extra context window (262,144 tokens) — e.g., product copilots handling complex tradeoffs, long-form creative work, or multi-turn character agents. Choose Ministral 3 3B 2512 if budget and inference cost are the priority and you need top-tier constrained rewriting or faithfulness — e.g., high-volume content compression, deterministic rewrites, or deployment where $200 vs $400 per million tokens meaningfully impacts margins.

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.

Frequently Asked Questions