DeepSeek V3.2 vs Ministral 3 8B 2512
In our testing DeepSeek V3.2 is the better pick for product-grade reasoning, structured outputs, and long-context tasks (wins 8 of 12 benchmarks). Ministral 3 8B 2512 wins on constrained_rewriting, tool_calling, and classification and is materially cheaper ($0.30 vs $0.64 per mTok), so choose it when price and compact multimodal input matter.
deepseek
DeepSeek V3.2
Benchmark Scores
External Benchmarks
Pricing
Input
$0.260/MTok
Output
$0.380/MTok
modelpicker.net
mistral
Ministral 3 8B 2512
Benchmark Scores
External Benchmarks
Pricing
Input
$0.150/MTok
Output
$0.150/MTok
modelpicker.net
Benchmark Analysis
We evaluated 12 tests; DeepSeek V3.2 wins 8, Ministral 3 8B 2512 wins 3, and 1 ties. Note: all claims are from our testing. Breakdown: - structured_output: DeepSeek 5 vs Ministral 4 — DeepSeek tied for 1st ("tied for 1st with 24 other models out of 54 tested"); this means DeepSeek is more reliable at JSON/schema compliance and format adherence. - strategic_analysis: DeepSeek 5 vs Ministral 3 — DeepSeek tied for 1st; better at nuanced tradeoff reasoning with numbers. - constrained_rewriting: DeepSeek 4 vs Ministral 5 — Ministral tied for 1st ("tied for 1st with 4 other models out of 53 tested"); Ministral is stronger when you must compress text into tight character limits. - creative_problem_solving: DeepSeek 4 vs Ministral 3 — DeepSeek ranks higher (rank 9 of 54), useful for generating feasible, non‑obvious ideas. - tool_calling: DeepSeek 3 vs Ministral 4 — Ministral ranks 18 of 54 vs DeepSeek 47 of 54; Ministral is better at function selection, argument accuracy, and sequencing. - faithfulness: DeepSeek 5 vs Ministral 4 — DeepSeek tied for 1st (faithful to source material), reducing hallucination risk. - classification: DeepSeek 3 vs Ministral 4 — Ministral tied for 1st (good for routing and categorization tasks). - long_context: DeepSeek 5 vs Ministral 4 — DeepSeek tied for 1st ("tied for 1st with 36 other models out of 55 tested"); expect stronger retrieval/accuracy over 30K+ token contexts. - safety_calibration: DeepSeek 2 vs Ministral 1 — DeepSeek scored higher (rank 12 of 55 vs rank 32 of 55), meaning it better balances refusals and approvals in our tests. - persona_consistency: tie at 5 — both tied for 1st (maintain character output equally well). - agentic_planning: DeepSeek 5 vs Ministral 3 — DeepSeek tied for 1st (stronger goal decomposition and recovery). - multilingual: DeepSeek 5 vs Ministral 4 — DeepSeek tied for 1st (higher-quality non‑English outputs in our suite). In sum, DeepSeek delivers stronger structured output, long-context, faithfulness, and agentic planning; Ministral is preferable for constrained rewriting, tool calling, and classification.
Pricing Analysis
Raw per‑mTok pricing from the payload: DeepSeek V3.2 costs $0.26 input + $0.38 output = $0.64 per mTok; Ministral 3 8B 2512 costs $0.15 input + $0.15 output = $0.30 per mTok. At 1M tokens/month (1,000 mTok) that’s $640 vs $300; at 10M tokens $6,400 vs $3,000; at 100M tokens $64,000 vs $30,000. The ~2x+ higher spend on DeepSeek ($0.64 vs $0.30) matters for high-volume APIs, SI/production SaaS, and cost-sensitive inference; teams doing smaller-scale experiments or strict cost budgets should prefer Ministral 3 8B 2512 for clear savings.
Real-World Cost Comparison
Bottom Line
Choose DeepSeek V3.2 if you need production-grade structured outputs (5/5), long-context retrieval (5/5), high faithfulness (5/5), and stronger agentic planning — accept higher cost ($0.64 per mTok) for these gains. Choose Ministral 3 8B 2512 if you must optimize price and multimodal inputs (text+image->text), need better tool calling (4/5), constrained rewriting (5/5), or classification (4/5) at $0.30 per mTok.
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.