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    You are here: start » models

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    models [2026/04/11 14:41] – [Kimi K2.5] katmodels [2026/04/20 06:52] (current) – kat
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     ===== Selection Criteria ===== ===== Selection Criteria =====
      
     +{{page>models:glm-5.1}}
     {{page>models:glm-5}} {{page>models:glm-5}}
     {{page>models:kimi-k25}} {{page>models:kimi-k25}}
    -==== MiniMax M2.5 ==== +{{page>models:minimax-m25}} 
    - +{{page>models:kimi-k2-thinking}} 
    -''hf:MiniMaxAI/MiniMax-M2.5'' +{{page>models:nemotron-3-super}} 
    - +{{page>models:glm-47-flash}} 
    -**Price**: $0.40/mtok in, $2.00/mtok out +{{page>models:qwen-3.5}} 
    - +{{page>models:deepseek-v3.2}}
    -Currently the most capable middle-tier model on Synthetic for general agentic and coding tasks. <wrap hi>Best used as a fast subagent orchestrated by a more powerful model</wrap> like GLM 5 or Kimi K2.5. +
    - +
    -  * **Pros:** Very fast due to a very low active parameter count (10b). Pretty good at straightforward agentic tool use, agentic terminal use, and writing working, adequate code, as well as thoroughly exploring and writing reports on codebases or document collections. +
    - +
    -  * **Cons:** Will very easily get stuck in loops if it isn't able to quickly debug an issue with its code — or its tools — in 1-2 turns. Requires //detailed and thorough// instructions to correctly execute the desired task (otherwise it will misinterpret what you mean, leave crucial things out, or just not understand the assignment). +
    - +
    -==== Kimi K2-Thinking ==== +
    - +
    -''hf:moonshotai/Kimi-K2-Thinking'' +
    - +
    -**Price**: $0.60/mtok, $2.50/mtok +
    - +
    -The previous most capable model on Synthetic before GLM 5 and Kimi K2.5 came around. <wrap hi>Still by far the best writing model</wrap>, though. +
    - +
    -  * **Pros:** Mostly just very good at writing, especially in a way that doesn't have noticeable Claude-like LLM writing tells, and picking up on emotions and nuances. +
    - +
    -  * **Cons:** Writing isn't always great at conveying coherent physical spaces or motions; can have continuity issues sometimes. Shouldn't really be used for anything but the writing style at this point. +
    - +
    -==== Nemotron 3 Super ==== +
    - +
    -''hf:nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4'' +
    - +
    -**Price**: $0.30/mtok, $1.00/mtok +
    - +
    -The <wrap hi>most powerful budget model</wrap> on Synthetic. Definitely worth using for agentic web search and report gathering, basic agentic terminal automation, as well as thread summary and title generation, and other basic housekeeping tasks you don't need a frontier model for. Should not be allowed to touch code with a ten-foot pole. +
    - +
    -  * **Pros:** Very long context for such a cheap/small model (double the context of GPT-OSS 120b, which is the same size). Extremely, almost unnervingly fast. Does not really slow down over long contexts at all. Which is all thanks to the hybrid state space model architecture. Most powerful and capable //fully// open source model ([[https://www.signalbloom.ai/posts/nvidia-nemotron-3-super-is-a-bigger-deal-than-you-think/|source]]) +
    - +
    -  * **Cons:** Not really very flexible at problem solving. Can lose the plot pretty hard if set loose on a difficult problem for a very long time without feedback, although it doesn't really context rot and is very tenacious, so it has that going for it. Probably shouldn't be allowed to write code. Not that smart. +
    - +
    -==== GLM 4.7 Flash ==== +
    - +
    -''hf:zai-org/GLM-4.7-Flash'' +
    - +
    -**Price**: $0.10/mtok, $0.50/mtok +
    - +
    -By far the <wrap hi>cheapest model on Synthetic</wrap>. Capable at basic tasks like summarization, classification, simple translation of natural language commands into tool calls, or terminal commands. +
    - +
    -  * **Pros**: Cheapest. Very fast. +
    - +
    -  * **Cons**: Only for basic usage.+
      
     ===== Embedding Models ===== ===== Embedding Models =====
      
    -==== Nomic Embed ==== +{{page>models:nomic-embed-text-15}}
    - +
    -''hf:nomic-ai/nomic-embed-text-v1.5''  +
    - +
    -If you have a Synthetic subscription, using an embedding model is free. Embedding models are commonly used in vector databases to provide effective semantic search over your data. Think of it as an easy way to browse through a hundred documents without giving an agent the entire context. +
    - +
    -Nomic only works with text and is no longer state-of-the-art, so expect average performance.+