MiniMax M2 / M2.5 vs Nemotron (Nvidia)

Which one should you pick? Here's the full breakdown.

Our Pick

MiniMax M2 / M2.5

A
8.4/10

MiniMax's open-weights frontier -- first open model to match Claude Opus 4.6 on SWE-Bench at 10-20× lower cost

Nemotron (Nvidia)

B
7.8/10

Nvidia's open-weights family -- hybrid Mamba-Transformer MoE architecture, optimized for efficient reasoning on Nvidia hardware

CategoryMiniMax M2 / M2.5Nemotron (Nvidia)
Ease of Use6.56.5
Output Quality9.08.0
Value9.58.0
Features8.58.5
Overall8.47.8

Pricing Comparison

FeatureMiniMax M2 / M2.5Nemotron (Nvidia)
Free TierYesYes
Starting Price$0$0

Benchmark Head-to-Head

MiniMax M2.5 (230B/10B active MoE) vs Nemotron 3 Ultra (253B)

BenchmarkMiniMax M2 / M2.5Nemotron (Nvidia)
MMLU-Pro82.1%79.8%
GPQA Diamond76.8%70.5%
HumanEval91%89.6%
AIME 202585.3%84.5%

Which Should You Pick?

Pick MiniMax M2 / M2.5 if...

  • Higher output quality (9 vs 8)
  • Better value for money (9.5/10)
  • Stronger on graduate-level science questions (+6.3% on GPQA Diamond)

Agentic coding and tool-use workflows on a budget. Best price-to-SWE-Bench ratio of any open-weights model in 2026.

Visit MiniMax M2 / M2.5

Pick Nemotron (Nvidia) if...

Teams running on Nvidia hardware (TensorRT-LLM, NIM) who need efficient long-context reasoning. Nemotron 3 Super is a standout for its 8 GB VRAM footprint with strong reasoning.

Visit Nemotron (Nvidia)

Our Verdict

MiniMax M2 / M2.5 edges out Nemotron (Nvidia) with a 8.4 vs 7.8 overall score. Both are solid picks, but MiniMax M2 / M2.5 has the advantage in output quality.