LLM Comparison
DiffusionGemma vs MiniMax M2.5
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 29 | 48 |
| Family | Gemma | MiniMax |
| Status | Current | Current |
| Release Date | Jun 2026 | Feb 2026 |
| Context Window | 256K tokens | 197K 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 |
| Max Output | — | 8K tokens |
| API Identifier | google/diffusiongemma-26b-a4b-it | minimax/minimax-m2.5:free |
| Benchmarks | ||
| MMLU Pro | 77.6official-google-model-card | — |
| GPQA Diamond | 73.2official-google-model-card | 84.8485artificial-analysis |
| LiveCodeBench v6 | 69.1official-google-model-card | — |
| MMMLU | 81.5official-google-model-card | — |
| HLE no tools | 11official-google-model-card | — |
| View DiffusionGemma | View MiniMax M2.5 | |
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.
MiniMax
MiniMax M2.5
MiniMax M2.5 is a large language model from MiniMax. Supports up to 196,608 token context window. Available free with rate limits on OpenRouter.
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