Model comparison
MiniMax-M2.7 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 37.7 on the Noometry Index.
Last verified . 12 shared benchmarks.
MiniMax
NVIDIASummary
- They share 12 benchmarks with published results for both. MiniMax-M2.7 scores higher in 6 categories and Nvidia Llama 3.3 Nemotron Super 49b v1.5 in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads 38.2 to 25.9.
- Nvidia Llama 3.3 Nemotron Super 49b v1.5 is cheaper at $0.40 / $0.40 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.7.
- MiniMax-M2.7 accepts more context: 205K tokens versus 131K.
Side by side
| MiniMax-M2.7 | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | |
|---|---|---|
| Provider | MiniMax | NVIDIA |
| Noometry Index | 37.7 | 40.3 |
| Released | 2026-03-18 | 2025-07-25 |
| Weights | Open | Open |
| Context window | 205K | 131K |
| Max output | 131K | 131K |
| Input $ / M tokens | $0.30 | $0.40 |
| Output $ / M tokens | $1.20 | $0.40 |
| Results tracked | 30 | 12 |
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Category by category
Coding MiniMax-M2.7 leads
MiniMax-M2.7: 41.8 (#120), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 39.8 (#154)
| Benchmark | MiniMax-M2.7 | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Coding | 1454 | 1355 |
| LMArena WebDev | 1398 | — |
| SciCode | 47% | — |
| WeirdML | 37% | — |
| ALE-Bench | 599.25 | — |
Agentic & Tool Use Not comparable
MiniMax-M2.7: 25.1 (#111), Nvidia Llama 3.3 Nemotron Super 49b v1.5: —
| Benchmark | MiniMax-M2.7 | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| Terminal-Bench | 45.1% | — |
| ExploitBench | 13.3% | — |
| GBAEval | 0% | — |
Reasoning Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
MiniMax-M2.7: 19.7 (#253), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 26.8 (#128)
| Benchmark | MiniMax-M2.7 | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1336 |
| NYT Connections (extended) | 24.7% | — |
| CritPt | 0.6% | — |
| Thematic Generalization | 39.3% | — |
| Epoch Capabilities Index | 145.85 | — |
Math Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
MiniMax-M2.7: 25.9 (#263), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 38.2 (#141)
| Benchmark | MiniMax-M2.7 | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Math | 1420 | 1392 |
| ProofBench | 3% | — |
Knowledge MiniMax-M2.7 leads
MiniMax-M2.7: 37.7 (#152), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 36.7 (#165)
| Benchmark | MiniMax-M2.7 | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Expert | 1444 | 1330 |
| Vectara Hallucination Rate | 12.9% | — |
Multilingual MiniMax-M2.7 leads
MiniMax-M2.7: 50.3 (#123), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 45.5 (#168)
| Benchmark | MiniMax-M2.7 | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Non-English | 1382 | 1316 |
| LMArena Japanese | 1262 | 1300 |
| LMArena Russian | 1383 | 1332 |
| LMArena Chinese | 1441 | — |
| LMArena French | 1421 | — |
| LMArena German | 1398 | — |
| LMArena Korean | 1313 | — |
| LMArena Spanish | 1403 | — |
Instruction Following MiniMax-M2.7 leads
MiniMax-M2.7: 74.1 (#103), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 68.6 (#188)
| Benchmark | MiniMax-M2.7 | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Instruction Following | 1405 | 1299 |
Long Context MiniMax-M2.7 leads
MiniMax-M2.7: 43.3 (#99), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 40.0 (#164)
| Benchmark | MiniMax-M2.7 | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Longer Query | 1419 | 1315 |
Writing & Preference MiniMax-M2.7 leads
MiniMax-M2.7: 58.9 (#112), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 53.1 (#159)
| Benchmark | MiniMax-M2.7 | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Text | 1405 | 1338 |
| LMArena Creative Writing | 1354 | 1307 |
| LMArena Multi-Turn | 1412 | 1334 |
Frequently asked questions
Is MiniMax-M2.7 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 37.7 on the Noometry Index.
Which is cheaper, MiniMax-M2.7 or Nvidia Llama 3.3 Nemotron Super 49b v1.5?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; MiniMax-M2.7 lists at $0.30 and $1.20.
Is MiniMax-M2.7 or Nvidia Llama 3.3 Nemotron Super 49b v1.5 better for coding?
MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 39.8 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M2.7 does, with 205K tokens against 131K.
How many benchmarks do MiniMax-M2.7 and Nvidia Llama 3.3 Nemotron Super 49b v1.5 share?
12 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and Nvidia Llama 3.3 Nemotron Super 49b v1.5 has 12.