Apodex 1.1 Mini

Apodex 1.1 Mini

Quick answer: Apodex 1.1 Mini is the open-weight, locally-deployable member of Apodex's 1.1 agent-model family — a 36B-parameter Mixture-of-Experts model fine-tuned from Qwen3.5-35B-A3B, released under Apache 2.0 with a 262,144-token context window. Using Apodex's own Agent Team multi-agent harness, it scores 50.2% on FrontierFinance, 51.7% on FrontierScience-Research, and 27.7% on APEX-Agents — retaining most of the working capability of Apodex's much larger closed flagship model.

At a Glance

Where Apodex 1.1 Mini leads

• Open weights under Apache 2.0 — no restrictions on self-hosting, fine-tuning, or commercial use, unlike the closed 397B flagship
• Leads FrontierFinance among models near its size class at 50.2% and comes close to the flagship's APEX-Agents result (27.7% vs 38.5%) despite being roughly 11x smaller
• Long native context (262,144 tokens) and multimodal (vision-capable) input support
• Built-in reasoning-effort switch and Qwen3.5-style native tool calling (<function=...><parameter=...> syntax), compatible with SGLang/vLLM deployment out of the box

Where it lags

• Meaningfully behind the flagship Apodex 1.1 on every shared benchmark (e.g. FrontierScience-Research 51.7% vs 63.3%, APEX-Agents 27.7% vs 38.5%)
• As a Mixture-of-Experts model with a relatively small ~3B active-parameter budget per token, single-turn raw reasoning is a step below dense frontier models of similar total size
• Apodex's own paper only reports Mini scores on three benchmarks (FrontierFinance, FrontierScience-Research, APEX-Agents) — no published Mini-scale numbers yet for coding, math, or general-knowledge benchmarks like SWE-bench Verified or HLE

Best for: Teams that want Apodex's agentic "working capability" approach (sustained multi-step task completion via file/search/code tool use) in a self-hostable, fine-tunable form rather than the API-only flagship.

What Apodex 1.1 Mini Is

Apodex 1.1 Mini is the openly-released, locally-deployable counterpart to Apodex's flagship 1.1 model, described in Apodex's technical report "Apodex 1.1: Scaling Agentic Intelligence for Complex Work" (arXiv:2608.23283). It is fine-tuned from Alibaba's Qwen3.5-35B-A3B Mixture-of-Experts base model, inheriting that architecture's sparse expert-routing design (36B total parameters, a small fraction active per token) rather than being trained from scratch.

Like the flagship, Mini is trained around Apodex's "working capability" framing — sustained, verifiable progress on real-world tasks via file, search, and code tool interaction — using the same underlying AgentOS execution substrate (a three-namespace filesystem separating read-only inputs, scratch workspace, and single-writer-lease outputs) and the same unified SFT + PIVOT-RL training recipe described in the paper. Apodex reports Mini's results under both a minimal single-agent ReAct scaffold and the fuller multi-agent Agent Team coordination harness (explicit task board, asymmetric verification, adaptive effort allocation); the Agent Team setting consistently produces the higher, and more representative, scores.

Specifications

Pricing

Open weights available on Hugging Face (apodex/Apodex-1.1-mini) — free to self-host under Apache 2.0. FP8, NVFP4, and GPTQ-Int4 quantized variants are also published for lower-resource deployment. Recommended inference settings: temperature 1.0, top_p 0.95, repetition_penalty 1.05, max_tokens 32,768; deploy via SGLang (--context-length 262144) or vLLM (--max-model-len 262144).

Context Window

Apodex 1.1 Mini natively supports a 262,144-token (256K) context window — enough for large multi-file codebases, long agent trajectories, or extended multi-document research tasks in a single request.

Public Benchmark Scores

Scores are self-reported by Apodex under its Agent Team multi-agent coordination harness (the higher of the two settings Apodex reports; a minimal ReAct scaffold produces lower scores of 40.0% / 45.0% / 24.2% respectively on the same three benchmarks). Not Benchgen measurements — figures depend heavily on harness and coordination-strategy choices; see the source paper for methodology.

Apodex 1.1 Mini vs Alternatives

Apodex 1.1 Mini trades roughly 4 points of FrontierFinance and 11 points of APEX-Agents versus its own 397B flagship — a meaningfully smaller gap than the ~11x parameter difference would suggest, making it the more practical choice for teams that need self-hosted deployment or fine-tuning rights rather than the absolute ceiling score.

How Apodex 1.1 Mini Performs on Real Agent Tasks

Apodex's own framing is that Mini exists to prove its "working capability" approach — Environment Scaling (executable file/search/code worlds) and Agentic Coordination Scaling (the Agent Team multi-agent protocol) — transfers to a much smaller, locally-deployable model rather than requiring flagship-scale compute. The reported results on FrontierFinance (real investment-analyst workflows) and FrontierScience-Research (open-ended PhD-level science sub-problems) support that: Mini retains a large majority of the flagship's capability on both despite the parameter gap. However, Apodex has not yet published Mini-scale results on coding or terminal-agent benchmarks (SWE-bench Verified, Terminal-Bench 2.1) or general-knowledge/search benchmarks (HLE, DeepSearchQA) that it reports for the flagship — so its agentic coding and long-horizon search reliability specifically remain unverified by any published, independent number.

Use Apodex 1.1 Mini via API

from openai import OpenAI  # Apodex 1.1 Mini uses an OpenAI-compatible chat API when self-hosted via vLLM/SGLang

client = OpenAI(base_url="http://localhost:8000/v1", api_key="not-needed")

response = client.chat.completions.create(
    model="apodex/Apodex-1.1-mini",
    messages=[{"role": "user", "content": "Summarize this quarterly earnings call transcript."}],
    temperature=1.0,
    top_p=0.95,
    max_tokens=32768,
)
print(response.choices[0].message.content)

Related Models & Benchmarks

• Compare: Apodex 1.1
• Benchmarks: FrontierFinance · FrontierScience-Research · APEX-Agents

Frequently Asked Questions

Specs from the Apodex 1.1 technical report (arXiv:2608.23283) and the official Hugging Face model card (huggingface.co/apodex/Apodex-1.1-mini). Last updated 2026-08-31.