LLM Comparison
DiffusionGemma vs Nemotron 3 Super
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 29 | 21 |
| Family | Gemma | Nemotron |
| Status | Current | Current |
| Release Date | Jun 2026 | Mar 2026 |
| Context Window | 256K tokens | 262K tokens |
| Input Price | — | — |
| Output Price | — | — |
| Pricing Notes | Google publishes open weights for local deployment. A hosted API price has not been verified; hosting and infrastructure costs depend on the provider or deployment. | Free tier available on OpenRouter with rate limits |
| Capabilities | textvisioncodereasoninglocal-inference | textcode |
| API Identifier | google/diffusiongemma-26b-a4b-it | nvidia/nemotron-3-super-120b-a12b:free |
| Benchmarks | ||
| MMLU Pro | 77.6official-google-model-card | — |
| GPQA Diamond | 73.2official-google-model-card | — |
| LiveCodeBench v6 | 69.1official-google-model-card | — |
| MMMLU | 81.5official-google-model-card | — |
| HLE no tools | 11official-google-model-card | — |
| View DiffusionGemma | View Nemotron 3 Super | |
DiffusionGemma
DiffusionGemma is Google DeepMind’s experimental open-weights text-diffusion model based on Gemma 4 26B A4B. It uses discrete diffusion and parallel canvas denoising to trade some benchmark quality for much faster local generation on dedicated GPUs.
NVIDIA
Nemotron 3 Super
Nemotron 3 Super is NVIDIA's 120B-parameter model with 12B active parameters. Its default Hugging Face configuration uses 256K context; NVIDIA documents up to 1M model context with additional VRAM. Hosted endpoint limits may differ.
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