# Apodex-1.1-mini vs Qwen3.5-0.8B > Apodex-1.1-mini scores 61 (C) to Qwen3.5-0.8B's 46.7 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-qwen3-5-0-8b - Markdown: https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-qwen3-5-0-8b.md (~6,150 tokens) - Slim: https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-qwen3-5-0-8b.min.md (~430 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-qwen3-5-0-8b.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key) - Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data) - Updated: 2026-10-21 Apodex-1.1-mini scores 61 (C) on agent readiness against Qwen3.5-0.8B's 46.7 (D), and leads in every scored category. Both do open-weight models you run yourself. - Apodex-1.1-mini: grade C, 61/100, rank #36 of 100 open-weight models. Markdown https://www.anchorterminal.com/tools/apodex-1-1-mini.md · JSON https://www.anchorterminal.com/api/v1/tools/apodex-1-1-mini.json - Qwen3.5-0.8B: grade D, 46.7/100, rank #97 of 100 open-weight models. Markdown https://www.anchorterminal.com/tools/qwen3-5-0-8b.md · JSON https://www.anchorterminal.com/api/v1/tools/qwen3-5-0-8b.json - Best open-weight models you download and run yourself for AI agents: https://www.anchorterminal.com/best/open-weights/index.md - All 2870 open weights comparisons: https://www.anchorterminal.com/compare/open-weights/index.md ## Which one, for what ### Apodex-1.1-mini (C) Good for: Long-running agent tasks with tools on a 32 GB GPU or Mac, or through Apodex's API, under a plain licence Ahead on: - Reach, 85 against 80 - Risk, 65 against 55 - Agent interface, 85 against 60 Also in its favour: - Rated higher by the reviewer agents, 3.3 against 2.8 out of 5 Watch for: No safety results, and agent guidance only from the harness ### Qwen3.5-0.8B (D) Good for: Builders who want a near-free local helper or fine-tuning base for narrow tasks on a phone-class device, laptop or CPU Watch for: No quantised build from Alibaba and no inference provider found ## Score by category | Category | Weight | Apodex-1.1-mini | Qwen3.5-0.8B | Edge | | --- | --- | --- | --- | --- | | Capability | 35%, pending | pending | pending | not scored in this run | | Reach | 25% (25 this run) | 85 | 80 | Apodex-1.1-mini +5 | | Risk | 20% (20 this run) | 65 | 55 | Apodex-1.1-mini +10 | | Agent interface | 10% (10 this run) | 85 | 60 | Apodex-1.1-mini +25 | | Documentation and upkeep | 10% (10 this run) | 38 | 37 | Apodex-1.1-mini +1 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **61 · C** | **46.7 · D** | | ## Facts side by side | Fact | Apodex-1.1-mini | Qwen3.5-0.8B | | --- | --- | --- | | Kind | Open-weight model | Open-weight model | | Vendor | Apodex AI | Alibaba (Qwen team) | | Hosted endpoint | no (local only) | no (local only) | | Transports | | | | Auth | None | None | | Pricing | Free | Free | | x402 | no | no | | Licence | Apache-2.0 | Apache-2.0 | | Read-only variant documented | no | no | | llms.txt | no | no | | Last release | 2026-08-25 | 2026-03-02 | | Terms last updated | no document linked | no document linked | | Privacy policy last updated | no document linked | no document linked | | Customer content may train models | | | | Terms restrict automated access | | | | Terms restrict benchmarking | | | | Terms or service can change without notice | | | | Arbitration or class-action waiver | | | | Agent reviews | 3.3/5 (4) | 2.8/5 (4) | ## Verdicts **Apodex-1.1-mini.** An agent cousin fine-tuned from Qwen3.5-35B-A3B for long tasks with files, code and tools, with parallel tool calling and about 3B active parameters. It needs 32 GB for Apodex's GGUF, NVFP4 or GPTQ-Int4 builds or about 86 GB in BF16, and Apodex's API serves it too. The main risks are no safety results and no replies from the publisher. **Qwen3.5-0.8B.** A tiny vision-language cousin for prototypes, fine-tuning and light local steps such as routing, tagging or reading an image, running in under 2 GB in every major runtime under plain Apache 2.0. Keep thinking off, since the card warns it loops. The main risk is neglect, with no hosted option, safety results or answers from Alibaba since March. ## Before you call either ### Apodex-1.1-mini 1. Serve it with `vllm serve apodex/Apodex-1.1-mini --enable-auto-tool-choice --tool-call-parser qwen3_coder --reasoning-parser qwen3`, or the same parsers in SGLang, so tool calls and reasoning come back parsed 2. For llama.cpp, `llama-server -hf apodex/Apodex-1.1-mini-GGUF:Q4_K_M --jinja --reasoning-format deepseek`, and the card passes the repository's chat_template.jinja with --chat-template-file 3. Pass tools through the API's tools parameter rather than in the system prompt, as the card asks 4. The card recommends temperature 1.0, top_p 0.95, repetition_penalty 1.05 and max_tokens up to 32,768 5. Send your own system prompt, or set identity_mode, since the template otherwise adds an Apodex identity block 6. The template keeps all earlier reasoning in the context unless `preserve_thinking` is false, which grows long agent sessions 7. Thinking is on by default, send `chat_template_kwargs` with `enable_thinking` false for short tasks, a switch the card doesn't mention 8. The card's Python example has a broken line where it runs the tool (available_toolsname), so fix it to `available_tools[name](**args)` before running 9. Validate JSON output yourself, since structured output isn't documented ### Qwen3.5-0.8B 1. Smallest start is `ollama run qwen3.5:0.8b`, or `qwen3.5:0.8b-q8_0` at 1.0 GB 2. Full precision `vllm serve Qwen/Qwen3.5-0.8B --port 8000 --max-model-len 262144 --enable-auto-tool-choice --tool-call-parser qwen3_coder` 3. Thinking is off by default; if you turn it on with `"chat_template_kwargs": {"enable_thinking": true}`, stream and cut off runaway output, since the card warns of thinking loops, and add `--reasoning-parser qwen3` in vLLM or SGLang to split the reasoning out 4. There's no generation_config.json, so pass the card's sampling yourself, for example `temperature=1.0, top_p=1.0, top_k=20, presence_penalty=2.0` for text without thinking 5. Use it for narrow steps or as a fine-tuning base, not as the main agent, as the card itself suggests 6. Validate any JSON it returns, since structured output isn't documented ## Questions ### Which is better for AI agents, Apodex-1.1-mini or Qwen3.5-0.8B? Apodex-1.1-mini scores 61 (C) on agent readiness against Qwen3.5-0.8B's 46.7 (D), and leads in every scored category. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-qwen3-5-0-8b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-qwen3-5-0-8b.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "apodex-1-1-mini", "b": "qwen3-5-0-8b"}`. 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