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Model details

TIM-Qwen3.6 27B

TIM-Qwen3.6 27B is a reasoning-oriented language model from Subconscious, part of the provider's post-trained TIM family of models that pairs with its TIMRUN inference runtime. According to the model's directory entry, it is positioned for deliberate analysis, multi-step problem solving, and tool use, with capability tags that include tool calling, reasoning, and temperature control. The model is served through Subconscious's hosted API, which is designed to be compatible with both the OpenAI Chat Completions and Anthropic Messages APIs, so developers can route requests to the model id via the endpoint using the existing SDK stack they already have in place.

In practical terms, TIM-Qwen3.6 27B fits scenarios that benefit from a focused, reasoning-leaning model rather than a broad general-purpose conversational assistant, particularly agentic workflows where the model is asked to break down a problem, call external tools, and reason across multiple steps before producing a final answer. Its accessibility through standard OpenAI-style and Anthropic-style client libraries means teams can integrate it into existing inference pipelines without rewriting their request layer. The combination of Subconscious's inference runtime with a post-trained TIM model suggests an emphasis on practical reliability and controlled generation behavior at inference time, making the model a natural choice for production assistants, tool-augmented agents, and structured analytical tasks.

Subconscioussubconscious/tim-qwen3.6-27b

Quick Info

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Provider
Subconscious
Model key
subconscious/tim-qwen3.6-27b
Release date
May 11, 2026
Last updated
May 11, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.30
Output token cost
$3.00

Limits

Input tokens
8,192 tokens
Output tokens
5,000 tokens
Context window
8,192 tokens

Latest news about TIM-Qwen3.6 27B

Subconscious

Official sourceAnnouncement

Subconscious announced TIM-Qwen3.6-27B on May 21, 2026, positioning it as a post-trained small language model built on top of the Qwen 3.6 base and served through the company's TIMRUN inference system. The post, authored by Subconscious co-founder and CEO Jack O'Brien, frames the release as a step toward closing the ga Technical claims in the announcement center on the co-designed TIMRUN runtime and its Subconscious Cache subsystem, which compresses cached latent states on the fly during long-horizon agentic runs. Subconscious reports up to roughly 10x effective context extension versus the base model's nominal limit, approximately 3

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