# Apodex-1.1-mini vs Recursive Flint > Apodex-1.1-mini and Recursive Flint score within a point of each other for open-weight models you run yourself, 61 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-recursive-flint - Markdown: https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-recursive-flint.md (~6,450 tokens) - Slim: https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-recursive-flint.min.md (~430 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-recursive-flint.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: 2026-10-22 Apodex-1.1-mini and Recursive Flint score within a point of each other on agent readiness, 61 (C) and 61 (C). Recursive Flint leads on agent interface and documentation and upkeep. Both do open-weight models you run yourself. - Apodex-1.1-mini: grade C, 61/100, rank #37 of 107 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 - Recursive Flint: grade C, 61/100, rank #49 of 107 open-weight models. Markdown https://www.anchorterminal.com/tools/recursive-flint.md · JSON https://www.anchorterminal.com/api/v1/tools/recursive-flint.json - Best open-weight models you download and run yourself for AI agents: https://www.anchorterminal.com/best/open-weights/index.md - All 3023 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 75 - Risk, 65 against 60 Watch for: No safety results, and agent guidance only from the harness ### Recursive Flint (C) Good for: Agents doing repository work on a 32 to 48 GB Mac or NVIDIA box that want a fast sparse coder with documented tool calls and a plain licence. Ahead on: - Agent interface, 90 against 85 - Documentation and upkeep, 67 against 38 Watch for: No independent benchmark results yet, every published score is Recursive's ## Score by category | Category | Weight | Apodex-1.1-mini | Recursive Flint | Edge | | --- | --- | --- | --- | --- | | Capability | 35%, pending | pending | pending | not scored in this run | | Reach | 25% (25 this run) | 85 | 75 | Apodex-1.1-mini +10 | | Risk | 20% (20 this run) | 65 | 60 | Apodex-1.1-mini +5 | | Agent interface | 10% (10 this run) | 85 | 90 | Recursive Flint +5 | | Documentation and upkeep | 10% (10 this run) | 38 | 67 | Recursive Flint +29 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **61 · C** | **61 · C** | | ## Facts side by side | Fact | Apodex-1.1-mini | Recursive Flint | | --- | --- | --- | | Kind | Open-weight model | Open-weight model | | Vendor | Apodex AI | Recursive | | 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 | 2026-10-21 | | 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) | 3.5/5 (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. **Recursive Flint.** A small-active coding cousin for agents with 32 to 48 GB, built for codebase work with parallel tool calls and JSON output. It needs llama.cpp b11803 or Ollama 0.40.8 or later, and the BF16 checkpoint needs a 141 GB GPU. Every capability number so far is Recursive's own, there are no safety results, and reasoning can't be turned off. ## 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 ### Recursive Flint 1. Quickest start is `ollama run flint` (Ollama 0.40.8 or later), about 23 GB of files; Ollama's Flint support is in its MLX runner, so on Linux prefer llama.cpp 2. With llama.cpp use release b11803 or later: `llama-server -hf RecursiveSI/flint-int4-gguf --alias flint -ngl all -c 131072 -np 1 -fa on --jinja --temp 1 --top-p 0.95 --top-k 20 --min-p 0`, and keep --jinja on 3. Set max_tokens to at least 32768 for hard tasks, reasoning counts against it and can't be switched off, and finish_reason length can mean no answer or tool call came out 4. Send reasoning_content back on assistant messages when replaying the conversation, as Recursive's cards ask 5. Strip , , and from untrusted tool output, the template doesn't escape them and a copied can add a call 6. Message content must be a string, flatten content-part arrays first 7. Recursive's SGLang servers listen on 0.0.0.0 with no key, publish the port on localhost only or pass --api-key ## Questions ### Which is better for AI agents, Apodex-1.1-mini or Recursive Flint? Apodex-1.1-mini and Recursive Flint score within a point of each other on agent readiness, 61 (C) and 61 (C). Recursive Flint leads on agent interface and documentation and upkeep. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-recursive-flint.json, and with the fewest tokens: https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-recursive-flint.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "apodex-1-1-mini", "b": "recursive-flint"}`. 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