Llama-3.3 Nemotron Super 49B v1 vs MiniMax M2: Specs & Benchmark Comparison
| Characteristic | Llama-3.3 Nemotron Super 49B v1 | MiniMax M2 |
|---|---|---|
| Company | NVIDIA | MiniMax |
| Release Date | March 18, 2025 | October 26, 2025 |
| Parameters | 50B | 230B |
| Multimodal | No | No |
| Context (input) | — | 1.0M |
| Context (output) | — | 100K |
| Input Price / 1M | — | $1.00 |
| Output Price / 1M | — | $4.00 |
| Average Score | 0.8 | 0.8 |
| Benchmarks | ||
| AIME 2025 | 0.6 | 0.8 |
| GPQA | 0.7 | 0.8 |
Visual Benchmark Comparison
Llama-3.3 Nemotron Super 49B v1
MiniMax M2
AIME 20250.6 vs 0.8
0.6
0.8
GPQA0.7 vs 0.8
0.7
0.8
Verdict
MiniMax M2 leads in 1 out of 2 comparison categories.
Overall Performance
Both models show comparable average scores: Llama-3.3 Nemotron Super 49B v1 — 0.8, MiniMax M2 — 0.8.
Recency
MiniMax M2 is newer: released 10/26/2025 vs 3/18/2025.
More About These Models
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Frequently Asked Questions
Which is better for coding — Llama-3.3 Nemotron Super 49B v1 or MiniMax M2?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Llama-3.3 Nemotron Super 49B v1 or MiniMax M2?
API pricing data is available on the individual model pages.
Which has a larger context window — Llama-3.3 Nemotron Super 49B v1 or MiniMax M2?
Context window data is available on the individual model pages.
The Llama-3.3 Nemotron Super 49B v1 and MiniMax M2 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Llama-3.3 Nemotron Super 49B v1 or MiniMax M2 page. See also the complete list of AI model comparisons.