LLM Comparison
MiniMax M2.5 vs Nemotron 3.5 Lightning 30B A3B
Side-by-side specs, pricing & capabilities
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2/6 models| Organization | ||
| OpenTools Score | 19 36.2 | |
| Family | MiniMax | Nemotron |
| Status | Current | Current |
| Release Date | Feb 2026 | Aug 2026 |
| Context Window | 197K tokens | 1.0M tokens |
| Input Price | $0.12/M tokens | $0.10/M tokens |
| Output Price | $0.99/M tokens | $0.95/M tokens |
| Pricing Notes | Cache read: $0.0590/M tokens | NVIDIA build lists serverless NIM pricing at $0.10 input and $0.95 output per million tokens. Self-hosted weights are also available; infrastructure costs vary. |
| Capabilities | textcode | textreasoningcodingtool-usefunction-callinglong-contextagenticlocal-deploymentopen-weights |
| Training Cutoff | — | May 2026 post-training; September 2025 pre-training |
| Max Output | 66K tokens | 33K tokens |
| API Identifier | minimax/minimax-m2.5 | nvidia/nemotron-3.5-lightning-30b-a3b |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.3 | — | 13.6 indexartificial-analysis |
| Artificial Analysis Intelligence Index v4.3 | — | 14 indexhttps://artificialanalysis.ai/models/nemotron-3-5-lightning |
| GPQA Diamond | 84.8%artificial-analysis | 74.3%artificial-analysis |
| SciCode | — | 32.1%artificial-analysis |
| Terminal-Bench 2.1 | — | 24.3%artificial-analysis |
| View MiniMax M2.5 | View Nemotron 3.5 Lightning 30B A3B | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Nemotron 3.5 Lightning 30B A3BCheapest | $0.10 | $0.48 | $0.58 | — |
| MiniMax M2.5 | $0.12 | $0.50 | $0.61 | +7% |
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MiniMax
MiniMax M2.5
MiniMax M2.5 is a large language model from MiniMax. Supports up to 196,608 token context window. Available from $0.12/M input tokens.
NVIDIA
Nemotron 3.5 Lightning 30B A3B
Nemotron 3.5 Lightning is NVIDIA open-weight 30B-A3B reasoning model for fast, long-running agents. Its hybrid Mamba-2, mixture-of-experts, and attention architecture supports function calling, coding, tool use, long context, and efficient local or serverless deployment.
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