LLM Comparison
Apodex 1.1 vs DiffusionGemma
Side-by-side specs, pricing & capabilities · Updated August 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 24 | 36 |
| Family | Apodex | Gemma |
| Status | Current | Current |
| Release Date | Aug 2026 | Jun 2026 |
| Context Window | 262K tokens | 256K tokens |
| Input Price | Free | Free |
| Output Price | Free | Free |
| Pricing Notes | The official API campaign currently sets input, cached input, and output to $0.00 per 1M tokens. Published list prices are $0.30 input, $0.03 cached input, and $3.00 output per 1M tokens; requests above 200K input tokens are charged at twice the listed rates when paid pricing resumes. Apodex has not published the campaign end date, so pricing requires daily revalidation. | Open-weights model under Apache 2.0; API pricing depends on the host or local infrastructure used. |
| Capabilities | textreasoningcodelong-contextstreaming | textvisioncodereasoninglocal-inference |
| Max Output | 262K tokens | 256 tokens |
| API Identifier | apodex-1.1 | google/diffusiongemma-26b-a4b-it |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1.1 | 44artificial-analysis | — |
| 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 Apodex 1.1 | View DiffusionGemma | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Apodex 1.1Cheapest | $0.00 | $0.00 | $0.00 | — |
| DiffusionGemmaCheapest | $0.00 | $0.00 | $0.00 | — |
Apodex
Apodex 1.1
Apodex 1.1 is a proprietary long-context reasoning model for complex professional work, research, coding, and evidence-heavy analysis through a first-party API.
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.
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