Ministral 3 14B 2512 vs Nemotron 3.5 Lightning
Nemotron 3.5 Lightning leads Ministral 3 14B 2512 on the Artificial Analysis Intelligence Index, 12.9 to 6.0, and Nemotron 3.5 Lightning costs 1.4x less per output token ($0.147 vs $0.20 per million). Updated October 22, 2026; 3 benchmarks have a result for both.
Ministral 3 14B 2512 or Nemotron 3.5 Lightning: which to pick
Only Nemotron 3.5 Lightning has a coding score, 22.6 on the Vibe Coding Index; Ministral 3 14B 2512 has none, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
- Shared results
- 3
- Ministral 3 14B 2512 only
- 4
- Nemotron 3.5 Lightning only
- 17
- Like-for-like categories
- 3 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Nemotron 3.5 Lightning has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Nemotron 3.5 Lightning
Nemotron 3.5 Lightning leads, 12.9 against 6.0.
Same board, both measured
Agentic work
AA Agentic Index
Nemotron 3.5 Lightning
Nemotron 3.5 Lightning leads, 3.5 against 1.1.
Same board, both measured
Web design
Design Arena: websites
No call
Only Ministral 3 14B 2512 has a Design Arena: websites result, 1081.
Directional only
Long documents
Listed context window
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3.5 Lightning
Ministral 3 14B 2512 $0.0003, Nemotron 3.5 Lightning $0.0001 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Nemotron 3.5 Lightning has the number, $0.06.
Directional only
At a glance
- Coding index
- Ministral 3 14B 2512 not benchmarked, Nemotron 3.5 Lightning 22.6 from 2 benchmarks.
- Widest category
- Coding, 12.4 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Coding Index: Ministral 3 14B 2512 14.4 against Nemotron 3.5 Lightning 26.8, 12.4 points apart on a 0 to 100 scale.
- Output price
- Ministral 3 14B 2512 $0.20 against Nemotron 3.5 Lightning $0.147 per million output tokens, 1.4x apart.
- Context window
- Both take 262K tokens.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Ministral 3 14B 2512 | Bars | Nemotron 3.5 Lightning | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| All shared boards | 0 | 3 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | Ministral 3 14B 2512 | Nemotron 3.5 Lightning | Leader |
|---|---|---|---|
| AA Coding Index | 14.4 | 26.8 | Nemotron 3.5 Lightning |
| SWE-bench Verified (Vals AI) | Not measured | 52.8% | Only Nemotron 3.5 Lightning measured |
| Vibe Code Bench (Vals AI) | Not measured | 0.0% | Only Nemotron 3.5 Lightning measured |
| Code migration (Vals AI) | Not measured | 3.0% | Only Nemotron 3.5 Lightning measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Nemotron 3.5 Lightning measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 10.9% | Only Nemotron 3.5 Lightning measured |
| CyberBench (Vals AI) | Not measured | 29.5% | Only Nemotron 3.5 Lightning measured |
| SciCode | Not measured | 32.1% | Only Nemotron 3.5 Lightning measured |
| ALE-Bench | Not measured | 769.2 | Only Nemotron 3.5 Lightning measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Ministral 3 14B 2512 | Nemotron 3.5 Lightning | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.0 | 12.9 | Nemotron 3.5 Lightning |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Ministral 3 14B 2512 | Nemotron 3.5 Lightning | Leader |
|---|---|---|---|
| AA Agentic Index | 1.1 | 3.5 | Nemotron 3.5 Lightning |
| Finance Agent (Vals AI) | Not measured | 18.5% | Only Nemotron 3.5 Lightning measured |
| Tax Agent Bench (Vals AI) | Not measured | 2.6% | Only Nemotron 3.5 Lightning measured |
| Legal Research Bench (Vals AI) | Not measured | 2.9% | Only Nemotron 3.5 Lightning measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 17.0% | Only Nemotron 3.5 Lightning measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Nemotron 3.5 Lightning | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 74.3% | Only Nemotron 3.5 Lightning measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 10.6% | Only Nemotron 3.5 Lightning measured |
| Neither model has a result on the other 21 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Nemotron 3.5 Lightning | Leader |
|---|---|---|---|
| Neither model has a result on 14 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Ministral 3 14B 2512 | Nemotron 3.5 Lightning | Leader |
|---|---|---|---|
| CorpFin (Vals AI) | Not measured | 54.2% | Only Nemotron 3.5 Lightning measured |
| Neither model has a result on the other 19 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Nemotron 3.5 Lightning | Leader |
|---|---|---|---|
| Design Arena: websites | 1081 | Not measured | Only Ministral 3 14B 2512 measured |
| Design Arena: game dev | 1037 | Not measured | Only Ministral 3 14B 2512 measured |
| Design Arena: 3D | 989 | Not measured | Only Ministral 3 14B 2512 measured |
| Design Arena: all code categories | 1064 | Not measured | Only Ministral 3 14B 2512 measured |
| Neither model has a result on the other 5 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Nemotron 3.5 Lightning | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | Not measured | 4.3% | Only Nemotron 3.5 Lightning measured |
| Long context reasoning (AA-LCR) | Not measured | 60.3% | Only Nemotron 3.5 Lightning measured |
| Neither model has a result on the other 46 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ministral 3 14B 2512 | Nemotron 3.5 Lightning | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Nemotron 3.5 Lightning costs less
Repository review
50K input + 3K output tokens
Nemotron 3.5 Lightning costs less
Agent loop
200K input + 10K output tokens
Nemotron 3.5 Lightning costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Mistral Ministral 3 14B 2512 | NVIDIA Nemotron 3.5 Lightning |
|---|---|---|
| Maker | Mistral AI | NVIDIA |
| Weights | Open weights | Open weights |
| Released | December 2, 2025 | August 11, 2026 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.20 | $0.0534 |
| Output $/Mtok | $0.20 | $0.147 |
| Coding index | Not benchmarked | 22.6 |
| Independent measurements behind it | 0 | 2 |
| Cost per solved task | Not computable | $0.06 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Ministral 3 14B 2512 better than Nemotron 3.5 Lightning for coding?
Only Nemotron 3.5 Lightning has a coding score, 22.6 on the Vibe Coding Index; Ministral 3 14B 2512 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Ministral 3 14B 2512 or Nemotron 3.5 Lightning?
Ministral 3 14B 2512 costs $0.20 per million input tokens and $0.20 per million output tokens; Nemotron 3.5 Lightning costs $0.0534 and $0.147. Cost per solved task is known for Nemotron 3.5 Lightning only.
Which has the bigger context window, Ministral 3 14B 2512 or Nemotron 3.5 Lightning?
Neither: both take 262K tokens.
How many benchmarks is the Ministral 3 14B 2512 vs Nemotron 3.5 Lightning comparison based on?
3 benchmarks have a result for both models as of October 22, 2026. Ministral 3 14B 2512's coding index rests on 0 independent benchmarks and Nemotron 3.5 Lightning's on 2. Where only one model has a result, the page says so instead of naming a winner.