Model comparison
Llama 3.2 1B vs Ministral 3B
Ministral 3B is the stronger model overall, scoring 25.6 to 19.9 on the Noometry Index.
Last verified . 2 shared benchmarks.
Meta
Mistral AISummary
- They share 2 benchmarks with published results for both. Llama 3.2 1B scores higher in 0 categories and Ministral 3B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Ministral 3B leads 24.5 to 9.7.
- Ministral 3B is cheaper at $0.04 / $0.04 per million input/output tokens, against $0.027 / $0.20 for Llama 3.2 1B.
- Ministral 3B accepts more context: 128K tokens versus 60K.
Side by side
| Llama 3.2 1B | Ministral 3B | |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 19.9 | 25.6 |
| Released | 2024-09-24 | 2024-10-01 |
| Weights | Open | Open |
| Context window | 60K | 128K |
| Max output | 54K | 128K |
| Input $ / M tokens | $0.027 | $0.04 |
| Output $ / M tokens | $0.20 | $0.04 |
| Results tracked | 22 | 6 |
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Category by category
Coding Not comparable
Llama 3.2 1B: 20.6 (#333), Ministral 3B: —
| Benchmark | Llama 3.2 1B | Ministral 3B |
|---|---|---|
| BigCodeBench Instruct | 8.2% | — |
| LMArena Coding | 1071 | — |
| BigCodeBench Complete | 11.3% | — |
Agentic & Tool Use Not comparable
Llama 3.2 1B: 14.5 (#142), Ministral 3B: —
| Benchmark | Llama 3.2 1B | Ministral 3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10.8% | — |
| BALROG | 6.6% | — |
Reasoning Ministral 3B leads
Llama 3.2 1B: 15.6 (#304), Ministral 3B: 17.7 (#278)
| Benchmark | Llama 3.2 1B | Ministral 3B |
|---|---|---|
| Epoch Capabilities Index | 101.95 | 118.08 |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1044 | — |
| DTBench | — | 51.7% |
| LMCA | — | 5.5% |
Math Ministral 3B leads
Llama 3.2 1B: 9.7 (#308), Ministral 3B: 24.5 (#257)
| Benchmark | Llama 3.2 1B | Ministral 3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.6% | — |
| LMArena Math | 1086 | — |
| MATH Level 5 | — | 14.4% |
Knowledge Ministral 3B leads
Llama 3.2 1B: 7.2 (#307), Ministral 3B: 10.4 (#297)
| Benchmark | Llama 3.2 1B | Ministral 3B |
|---|---|---|
| GPQA Diamond | 23.9% | 25.3% |
| Vectara Hallucination Rate | — | 7.3% |
| LMArena Expert | 1007 | — |
Multilingual Not comparable
Llama 3.2 1B: 23.9 (#287), Ministral 3B: —
| Benchmark | Llama 3.2 1B | Ministral 3B |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 958 | — |
| LMArena German | 1014 | — |
| LMArena Russian | 941 | — |
Instruction Following Not comparable
Llama 3.2 1B: 52.6 (#285), Ministral 3B: —
| Benchmark | Llama 3.2 1B | Ministral 3B |
|---|---|---|
| LMArena Instruction Following | 1031 | — |
Long Context Not comparable
Llama 3.2 1B: 31.9 (#269), Ministral 3B: —
| Benchmark | Llama 3.2 1B | Ministral 3B |
|---|---|---|
| LMArena Longer Query | 1050 | — |
Writing & Preference Not comparable
Llama 3.2 1B: 21.4 (#305), Ministral 3B: —
| Benchmark | Llama 3.2 1B | Ministral 3B |
|---|---|---|
| LMArena Text | 1055 | — |
| LMArena Creative Writing | 1033 | — |
| EQ-Bench Creative Writing | 200 | — |
| LMArena Multi-Turn | 1030 | — |
Frequently asked questions
Is Llama 3.2 1B better than Ministral 3B?
Ministral 3B is the stronger model overall, scoring 25.6 to 19.9 on the Noometry Index.
Which is cheaper, Llama 3.2 1B or Ministral 3B?
Ministral 3B is cheaper. It lists at $0.04 per million input tokens and $0.04 per million output tokens; Llama 3.2 1B lists at $0.027 and $0.20.
Which has the bigger context window?
Ministral 3B does, with 128K tokens against 60K.
How many benchmarks do Llama 3.2 1B and Ministral 3B share?
2 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and Ministral 3B has 6.