> ## Documentation Index
> Fetch the complete documentation index at: https://docs.sciforium.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Model Library

<Tabs>
  <Tab title="ALL">
    | Model                | Description                                                                                                                                                                                          | Type  | State         | Creator              | Model ID                            | Weight dtype | Activation dtype | KV Cache dtype | Fine-Tuning   | Serverless | Context Length | Embeddings    | Input Modality | Output Modality |
    | -------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----- | ------------- | -------------------- | ----------------------------------- | ------------ | ---------------- | -------------- | ------------- | ---------- | -------------- | ------------- | -------------- | --------------- |
    | MiniMax M2.5         | MiniMax M2.5 is a frontier mixture-of-experts model with 230B total / 10B active params, trained via large-scale reinforcement learning. Scores 80.2% on SWE-Bench Verified and 76.3% on BrowseComp. | LLM   | Ready         | MiniMax              | MiniMaxAI/MiniMax-M2.5              | FP8          | FP16             | FP16           | Contact Sales | Supported  | 197K           | Not Supported | Text           | Text            |
    | Kimi K2.5            | Kimi K2.5 is a native multimodal MoE with 1T total / 32B active params, supporting instant and thinking modes, agent swarm coordination of up to 100 sub-agents.                                     | LLM   | Ready         | Moonshot AI          | moonshotai/Kimi-K2.5                | BF16         | BF16             | BF16           | Contact Sales | Supported  | 262K           | Not Supported | Text / Image   | Text            |
    | GLM 5                | GLM-5 is a MoE model from Z.ai with 744B total / 40B active params, trained on 28.5T tokens. Scores 73.3% on SWE-bench Verified.                                                                     | LLM   | Contact Sales | Z.ai (Zhipu)         | GLM-5                               | BF16         | BF16             | BF16           | Contact Sales | Supported  | 203K           | Not Supported | Text           | Text            |
    | DeepSeek V3.2        | DeepSeek V3.2 is a MoE with 671B total / 37B active params. Introduces 'thinking with tools' capability; achieves gold-medal results at 2025 IMO and IOI.                                            | LLM   | Ready         | DeepSeek             | deepseek-ai/DeepSeek-V3.2           | FP8          | FP16             | FP16           | Contact Sales | Supported  | 164K           | Not Supported | Text           | Text            |
    | gpt-oss-120b         | Open-weight MoE from OpenAI with 117B total / 5.1B active params per forward pass, runs on a single H100 or AMD MI300X GPU using MXFP4 quantization.                                                 | LLM   | Ready         | OpenAI               | openai/gpt-oss-120b                 | BF16         | BF16             | BF16           | Contact Sales | Supported  | 131K           | Not Supported | Text           | Text            |
    | gpt-oss-20b          | Open-weight MoE from OpenAI with 21B total / 3.6B active params, designed for low-latency inference on consumer or single-GPU hardware.                                                              | LLM   | Contact Sales | OpenAI               | gpt-oss-20b                         | BF16         | BF16             | BF16           | Contact Sales | Supported  | 131K           | Not Supported | Text           | Text            |
    | Qwen3 Instruct       | MoE LLM with 235B total / 22B active params, optimized for instruction following across 100+ languages. 256K token context window.                                                                   | LLM   | Ready         | Alibaba / Qwen       | Qwen/Qwen3-235B-A22B-Instruct-2507  | BF16         | BF16             | BF16           | Contact Sales | Supported  | 256K           | Not Supported | Text           | Text            |
    | Qwen3 Thinking       | MoE reasoning model with 235B total / 22B active params, designed for deep logic, math, science, and complex multi-step coding tasks.                                                                | LLM   | Ready         | Alibaba / Qwen       | Qwen/Qwen3-235B-A22B-Instruct-2507  | BF16         | BF16             | BF16           | Contact Sales | Supported  | 256K           | Not Supported | Text           | Text            |
    | Qwen3 Coder          | MoE model with 480B total / 35B active params, purpose-built for agentic coding. Native 256K context window, scalable to 1M tokens.                                                                  | LLM   | Ready         | Alibaba / Qwen       | Qwen/Qwen3-Coder-480B-A35B-Instruct | BF16         | BF16             | BF16           | Contact Sales | Supported  | 262K           | Not Supported | Text           | Text            |
    | Qwen3.5              | Multimodal MoE with 397B total / 17B active params and hybrid Gated Delta Network architecture enabling 1M token context window.                                                                     | LLM   | Ready         | Alibaba / Qwen       | Qwen/Qwen3.5-397B-A17B              | BF16         | BF16             | BF16           | Contact Sales | Supported  | 1M             | Not Supported | Text / Image   | Text            |
    | Qwen3 VL Instruct    | Vision-language MoE with 30B total / 3B active params, supporting megapixel-level inputs, multilingual OCR, visual grounding, and GUI automation.                                                    | LLM   | Ready         | Alibaba / Qwen       | Qwen/Qwen3-VL-235B-A22B-Instruct    | BF16         | BF16             | BF16           | Contact Sales | Supported  | 256K           | Not Supported | Text / Image   | Text            |
    | Qwen3 ASR            | Advanced speech recognition with 1.7B params, supporting 52 languages, streaming and offline inference. Built on Qwen3-Omni architecture.                                                            | Audio | Ready         | Alibaba / Qwen       | Qwen/Qwen3-ASR-1.7B                 | BF16         | BF16             | BF16           | Contact Sales | Supported  | N/A            | Not Supported | Audio          | Text            |
    | Qwen-Image           | Open-weight diffusion transformer from Alibaba with strong text rendering accuracy and multilingual typography.                                                                                      | Image | Ready         | Alibaba / Qwen       | Qwen/Qwen-Image                     | BF16         | BF16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text           | Image           |
    | Qwen-Image-Edit      | Dedicated image editing variant of Qwen-Image series, supporting style transfer, object insertion, and detail enhancement.                                                                           | Image | Ready         | Alibaba / Qwen       | Qwen/Qwen-Image-Edit-2511           | BF16         | BF16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text / Image   | Image           |
    | Flux2 4B             | Production-grade image generation from Black Forest Labs with 4B parameter flow transformer, using rectified flow matching for efficient inference.                                                  | Image | Ready         | Black Forest Labs    | black-forest-labs/FLUX.2-klein-4B   | BF16         | BF16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text           | Image           |
    | Stable Diffusion 3.5 | Diffusion transformer from Stability AI with the most mature open-source tooling ecosystem (ComfyUI, Automatic1111, Forge).                                                                          | Image | Contact Sales | Stability AI         | stable-diffusion-3.5-large          | BF16         | BF16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text           | Image           |
    | Hunyuan Image        | Large-scale multimodal autoregressive image generation from Tencent with 80B total params across 64 MoE experts, trained on 5B image-text pairs.                                                     | Image | Ready         | Tencent              | tencent/HunyuanImage-3.0-Instruct   | BF16         | BF16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text           | Image           |
    | Z-Image              | Open-weight diffusion transformer (Apache 2.0) for ultra-fast inference with accurate bilingual text rendering in English and Chinese.                                                               | Image | Contact Sales | Tongyi-MAI / Alibaba | Z-Image-Turbo                       | BF16         | BF16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text           | Image           |
    | Wan2.2-I2V           | Open-source video diffusion model from Alibaba for image-to-video generation with strong motion consistency and scene coherence.                                                                     | Video | Ready         | Alibaba / Wan        | Wan-AI/Wan2.2-T2V-A14B-Diffusers    | FP16         | FP16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text / Image   | Video           |
    | Wan2.2-T2V           | Open-source video diffusion model from Alibaba for text-to-video generation with improved motion dynamics over Wan2.1.                                                                               | Video | Ready         | Alibaba / Wan        | Wan-AI/Wan2.2-I2V-A14B-Diffusers    | FP16         | FP16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text           | Video           |
  </Tab>

  <Tab title="LLM">
    | Model             | Description                                                                                                                                                                                          | Type | State         | Creator        | Model ID                            | Weight dtype | Activation dtype | KV Cache dtype | Fine-Tuning   | Serverless    | Context Length | Embeddings    | Input Modality | Output Modality |
    | ----------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---- | ------------- | -------------- | ----------------------------------- | ------------ | ---------------- | -------------- | ------------- | ------------- | -------------- | ------------- | -------------- | --------------- |
    | MiniMax M2.5      | MiniMax M2.5 is a frontier mixture-of-experts model with 230B total / 10B active params, trained via large-scale reinforcement learning. Scores 80.2% on SWE-Bench Verified and 76.3% on BrowseComp. | LLM  | Ready         | MiniMax        | MiniMaxAI/MiniMax-M2.5              | FP8          | FP16             | FP16           | Contact Sales | Supported     | 197K           | Not Supported | Text           | Text            |
    | Kimi K2.5         | Kimi K2.5 is a native multimodal MoE with 1T total / 32B active params, supporting instant and thinking modes, agent swarm coordination of up to 100 sub-agents.                                     | LLM  | Ready         | Moonshot AI    | moonshotai/Kimi-K2.5                | BF16         | BF16             | BF16           | Contact Sales | Supported     | 262K           | Not Supported | Text / Image   | Text            |
    | GLM 5             | GLM-5 is a MoE model from Z.ai with 744B total / 40B active params, trained on 28.5T tokens. Scores 73.3% on SWE-bench Verified.                                                                     | LLM  | Contact Sales | Z.ai (Zhipu)   | GLM-5                               | BF16         | BF16             | BF16           | Contact Sales | Not Supported | 203K           | Not Supported | Text           | Text            |
    | DeepSeek V3.2     | DeepSeek V3.2 is a MoE with 671B total / 37B active params. Introduces 'thinking with tools' capability; achieves gold-medal results at 2025 IMO and IOI.                                            | LLM  | Ready         | DeepSeek       | deepseek-ai/DeepSeek-V3.2           | FP8          | FP16             | FP16           | Contact Sales | Supported     | 164K           | Not Supported | Text           | Text            |
    | gpt-oss-120b      | Open-weight MoE from OpenAI with 117B total / 5.1B active params per forward pass, runs on a single H100 or AMD MI300X GPU using MXFP4 quantization.                                                 | LLM  | Ready         | OpenAI         | openai/gpt-oss-120b                 | BF16         | BF16             | BF16           | Contact Sales | Supported     | 131K           | Not Supported | Text           | Text            |
    | gpt-oss-20b       | Open-weight MoE from OpenAI with 21B total / 3.6B active params, designed for low-latency inference on consumer or single-GPU hardware.                                                              | LLM  | Contact Sales | OpenAI         | gpt-oss-20b                         | BF16         | BF16             | BF16           | Contact Sales | Not Supported | 131K           | Not Supported | Text           | Text            |
    | Qwen3 Instruct    | MoE LLM with 235B total / 22B active params, optimized for instruction following across 100+ languages. 256K token context window.                                                                   | LLM  | Ready         | Alibaba / Qwen | Qwen/Qwen3-235B-A22B-Instruct-2507  | BF16         | BF16             | BF16           | Contact Sales | Supported     | 256K           | Not Supported | Text           | Text            |
    | Qwen3 Thinking    | MoE reasoning model with 235B total / 22B active params, designed for deep logic, math, science, and complex multi-step coding tasks.                                                                | LLM  | Ready         | Alibaba / Qwen | Qwen/Qwen3-235B-A22B-Instruct-2507  | BF16         | BF16             | BF16           | Contact Sales | Supported     | 256K           | Not Supported | Text           | Text            |
    | Qwen3 Coder       | MoE model with 480B total / 35B active params, purpose-built for agentic coding. Native 256K context window, scalable to 1M tokens.                                                                  | LLM  | Ready         | Alibaba / Qwen | Qwen/Qwen3-Coder-480B-A35B-Instruct | BF16         | BF16             | BF16           | Contact Sales | Supported     | 262K           | Not Supported | Text           | Text            |
    | Qwen3.5           | Multimodal MoE with 397B total / 17B active params and hybrid Gated Delta Network architecture enabling 1M token context window.                                                                     | LLM  | Ready         | Alibaba / Qwen | Qwen/Qwen3.5-397B-A17B              | BF16         | BF16             | BF16           | Contact Sales | Supported     | 1M             | Not Supported | Text / Image   | Text            |
    | Qwen3 VL Instruct | Vision-language MoE with 30B total / 3B active params, supporting megapixel-level inputs, multilingual OCR, visual grounding, and GUI automation.                                                    | LLM  | Ready         | Alibaba / Qwen | Qwen/Qwen3-VL-235B-A22B-Instruct    | BF16         | BF16             | BF16           | Contact Sales | Supported     | 256K           | Not Supported | Text / Image   | Text            |
  </Tab>

  <Tab title="Audio">
    | Model     | Description                                                                                                                               | Type  | State | Creator        | Model ID            | Weight dtype | Activation dtype | KV Cache dtype | Fine-Tuning   | Serverless | Context Length | Embeddings    | Input Modality | Output Modality |
    | --------- | ----------------------------------------------------------------------------------------------------------------------------------------- | ----- | ----- | -------------- | ------------------- | ------------ | ---------------- | -------------- | ------------- | ---------- | -------------- | ------------- | -------------- | --------------- |
    | Qwen3 ASR | Advanced speech recognition with 1.7B params, supporting 52 languages, streaming and offline inference. Built on Qwen3-Omni architecture. | Audio | Ready | Alibaba / Qwen | Qwen/Qwen3-ASR-1.7B | BF16         | BF16             | BF16           | Contact Sales | Supported  | N/A            | Not Supported | Audio          | Text            |
  </Tab>

  <Tab title="Image">
    | Model                | Description                                                                                                                                         | Type  | State         | Creator              | Model ID                          | Weight dtype | Activation dtype | KV Cache dtype | Fine-Tuning   | Serverless | Context Length | Embeddings    | Input Modality | Output Modality |
    | -------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------- | ----- | ------------- | -------------------- | --------------------------------- | ------------ | ---------------- | -------------- | ------------- | ---------- | -------------- | ------------- | -------------- | --------------- |
    | Qwen-Image           | Open-weight diffusion transformer from Alibaba with strong text rendering accuracy and multilingual typography.                                     | Image | Ready         | Alibaba / Qwen       | Qwen/Qwen-Image                   | BF16         | BF16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text           | Image           |
    | Qwen-Image-Edit      | Dedicated image editing variant of Qwen-Image series, supporting style transfer, object insertion, and detail enhancement.                          | Image | Ready         | Alibaba / Qwen       | Qwen/Qwen-Image-Edit-2511         | BF16         | BF16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text / Image   | Image           |
    | Flux2                | Production-grade image generation from Black Forest Labs with 9B parameter flow transformer, using rectified flow matching for efficient inference. | Image | Ready         | Black Forest Labs    | black-forest-labs/FLUX.2-klein-4B | BF16         | BF16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text           | Image           |
    | Stable Diffusion 3.5 | Diffusion transformer from Stability AI with the most mature open-source tooling ecosystem (ComfyUI, Automatic1111, Forge).                         | Image | Contact Sales | Stability AI         | stable-diffusion-3.5-large        | BF16         | BF16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text           | Image           |
    | Hunyuan Image        | Large-scale multimodal autoregressive image generation from Tencent with 80B total params across 64 MoE experts, trained on 5B image-text pairs.    | Image | Ready         | Tencent              | tencent/HunyuanImage-3.0-Instruct | BF16         | BF16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text           | Image           |
    | Z-Image              | Open-weight diffusion transformer (Apache 2.0) for ultra-fast inference with accurate bilingual text rendering in English and Chinese.              | Image | Contact Sales | Tongyi-MAI / Alibaba | Z-Image-Turbo                     | BF16         | BF16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text           | Image           |
  </Tab>

  <Tab title="Video">
    | Model      | Description                                                                                                                      | Type  | State | Creator       | Model ID                         | Weight dtype | Activation dtype | KV Cache dtype | Fine-Tuning   | Serverless | Context Length | Embeddings    | Input Modality | Output Modality |
    | ---------- | -------------------------------------------------------------------------------------------------------------------------------- | ----- | ----- | ------------- | -------------------------------- | ------------ | ---------------- | -------------- | ------------- | ---------- | -------------- | ------------- | -------------- | --------------- |
    | Wan2.2-I2V | Open-source video diffusion model from Alibaba for image-to-video generation with strong motion consistency and scene coherence. | Video | Ready | Alibaba / Wan | Wan-AI/Wan2.2-I2V-A14B-Diffusers | FP16         | FP16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text / Image   | Video           |
    | Wan2.2-T2V | Open-source video diffusion model from Alibaba for text-to-video generation with improved motion dynamics over Wan2.1.           | Video | Ready | Alibaba / Wan | Wan-AI/Wan2.2-T2V-A14B-Diffusers | FP16         | FP16             | N/A            | Contact Sales | Supported  | N/A            | Not Supported | Text           | Video           |
  </Tab>
</Tabs>
