MiniMax M1 vs NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4
| Spec | MiniMax M1 | NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 |
|---|---|---|
| Respan Index | 16.4 (#140) | 16.0 (#142) |
| Blended price per 1M | $0.963 | $0.078 |
| Context window | 1M | 1M |
| Input / output per 1M | $0.55 / $2.2 | $0.05 / $0.16 |
| Max output | - | - |
| Input | text | text |
| Released | 2025-06-16 | 2026-08-11 |
Respan Index by category
Each category is scored 0 to 100, and how far ahead the winner is. Leads under a point are close to even.
| Category | MiniMax M1 | NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 |
|---|---|---|
| Coding | 3.2 MiniMax M1 | 1.7 NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 |
| Agents | 13.5* MiniMax M1 | 14.0 NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 |
| Reasoning | 20.2 MiniMax M1 | 20.1 NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 |
| Knowledge & language | 11.7 MiniMax M1 | 12.3 NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 |
| Human preference | 40.3 MiniMax M1 | 38.8 NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 |
* Estimated: no published scores in that category. How the Respan Index works
Benchmarks both report
They split the 4 benchmarks both report evenly. Higher is better. Each score links to where it was published.
| Benchmark | MiniMax M1 | NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 |
|---|---|---|
| LMArena Elo | 1364 | 1353 |
| GPQA Diamond | 70% | 75.6% |
| MMLU-Pro | 81.1% | 81.6% |
| SWE-bench Verified | 56% | 52.8% |
FAQ
Is MiniMax M1 better than NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4?
MiniMax M1 scores 16.4 on the Respan Index (#140), ahead of NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 at 16.0 (#142). They split the 4 benchmarks both report evenly.
Which is cheaper, MiniMax M1 or NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4?
MiniMax M1 lists at $0.55 input and $2.2 output per 1M tokens; NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 at $0.05 and $0.16. NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 is 12x cheaper per token at list price.
Which has the larger context window?
Both accept 1M tokens of context.
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