Model comparison
Ministral 8B vs Nvidia Llama 3.3 Nemotron Super 49b v1.5
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is the stronger model overall, scoring 40.3 to 28.2 on the Noometry Index. Ministral 8B costs 2.7× less per token, which makes it the better buy when Nvidia Llama 3.3 Nemotron Super 49b v1.5's lead doesn't matter for your workload.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. Ministral 8B scores higher in 0 categories and Nvidia Llama 3.3 Nemotron Super 49b v1.5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads 36.7 to 12.6.
- Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.40 / $0.40 for Nvidia Llama 3.3 Nemotron Super 49b v1.5.
- Ministral 8B accepts more context: 262K tokens versus 131K.
Side by side
| Ministral 8B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | |
|---|---|---|
| Provider | Mistral AI | NVIDIA |
| Noometry Index | 28.2 | 40.3 |
| Released | 2024-10-01 | 2025-07-25 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 262K | 131K |
| Input $ / M tokens | $0.15 | $0.40 |
| Output $ / M tokens | $0.15 | $0.40 |
| Results tracked | 17 | 12 |
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Category by category
Coding Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Ministral 8B: 35.0 (#230), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 39.8 (#154)
| Benchmark | Ministral 8B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Coding | 1202 | 1355 |
Agentic & Tool Use Not comparable
Ministral 8B: 16.4 (#148), Nvidia Llama 3.3 Nemotron Super 49b v1.5: —
| Benchmark | Ministral 8B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 11.1% | — |
Reasoning Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Ministral 8B: 18.4 (#281), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 26.8 (#128)
| Benchmark | Ministral 8B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1336 |
| DTBench | 45.7% | — |
Math Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Ministral 8B: 25.7 (#267), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 38.2 (#141)
| Benchmark | Ministral 8B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Math | 1188 | 1392 |
| MATH Level 5 | 14.9% | — |
Knowledge Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Ministral 8B: 12.6 (#297), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 36.7 (#165)
| Benchmark | Ministral 8B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Expert | 1170 | 1330 |
| GPQA Diamond | 27.1% | — |
| Vectara Hallucination Rate | 7.4% | — |
Multilingual Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Ministral 8B: 35.1 (#247), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 45.5 (#168)
| Benchmark | Ministral 8B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Non-English | 1165 | 1316 |
| LMArena Russian | 1195 | 1332 |
| LMArena Chinese | 1193 | — |
| LMArena Japanese | — | 1300 |
Instruction Following Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Ministral 8B: 60.5 (#250), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 68.6 (#188)
| Benchmark | Ministral 8B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Instruction Following | 1161 | 1299 |
Long Context Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Ministral 8B: 36.7 (#227), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 40.0 (#164)
| Benchmark | Ministral 8B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Longer Query | 1212 | 1315 |
Writing & Preference Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Ministral 8B: 39.6 (#246), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 53.1 (#159)
| Benchmark | Ministral 8B | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Text | 1191 | 1338 |
| LMArena Creative Writing | 1175 | 1307 |
| LMArena Multi-Turn | 1166 | 1334 |
Frequently asked questions
Is Ministral 8B better than Nvidia Llama 3.3 Nemotron Super 49b v1.5?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is the stronger model overall, scoring 40.3 to 28.2 on the Noometry Index. Ministral 8B costs 2.7× less per token, which makes it the better buy when Nvidia Llama 3.3 Nemotron Super 49b v1.5's lead doesn't matter for your workload.
Which is cheaper, Ministral 8B or Nvidia Llama 3.3 Nemotron Super 49b v1.5?
Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Nvidia Llama 3.3 Nemotron Super 49b v1.5 lists at $0.40 and $0.40.
Is Ministral 8B or Nvidia Llama 3.3 Nemotron Super 49b v1.5 better for coding?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 scores higher on coding benchmarks: 39.8 versus 35.0 in the Noometry coding category.
Which has the bigger context window?
Ministral 8B does, with 262K tokens against 131K.
How many benchmarks do Ministral 8B and Nvidia Llama 3.3 Nemotron Super 49b v1.5 share?
11 benchmarks have published results for both models. Ministral 8B has 17 scored results on Noometry and Nvidia Llama 3.3 Nemotron Super 49b v1.5 has 12.