Head to head · Open-weight models you run yourself · October 2026 research run
Apodex-1.1-mini vs LFM3-Audio-2B
Apodex-1.1-mini and LFM3-Audio-2B score within a point of each other on agent readiness, 61 (C) and 61 (C). LFM3-Audio-2B leads on documentation and upkeep. Both do open-weight models you run yourself.
Best open-weight models you download and run yourself for AI agents · All 4969 open weights comparisons
Which one, for what
Best 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 40
Watch for
No safety results, and agent guidance only from the harness
Best for Voice agents on a laptop or phone that need speech in, speech out and tool calls from one small model
Ahead on
- Documentation and upkeep, 52 against 38
Watch for
Only llama.cpp and Ollama run it in a release, though the card lists vLLM and SGLang
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Risk Apodex-1.1-mini +25
Apodex-1.1-mini 65
File safety 25, safetensors and GGUF only and nothing from the repositories runs. Provenance 15, the files are in the apodex organisation its site links to, with a SHA-256 for every weight file and a SHA256SUMS file for the GGUF. Safety evaluation 0, none published. Agent guidance 5, the recommended harness documents approval gates and a sandbox boundary, but nothing on prompt injection or refusals for the model. Licence risk 15, Apache 2.0 from Qwen3.5-35B-A3B through to this model with no conditions added. Security programme 5, the harness has a disclosure policy with a private address, with no route shown for the weights.
LFM3-Audio-2B 40
File safety 15, safetensors only, no .bin, .pt or .pth files (25). Provenance 15, files in the LiquidAI organisation, which Liquid's docs page for the model and its blog post link to (10). Safety evaluation 0, no safety results on the card or in Liquid's blog post for the LFM3 family, neither of which mentions safety testing. Agent guidance 0, Nothing on prompt injection, an instruction hierarchy, what refusals cover or safeguards to add. Licence risk 10, 15 less 5 for the $10M annual revenue threshold on commercial use. Security programme 0, no way to report a flaw found. 15 + 15 + 0 + 0 + 10 + 0 = 40.
Documentation and upkeep LFM3-Audio-2B +14
Apodex-1.1-mini 38
Model card 8, it covers intended use, context and languages but not the architecture, parameters, limitations or a knowledge cut-off. Training data 5, a general description with no cut-off. Last change 15, the GGUF build went up on 10 September 2026, 54 days before 3 November. Responsiveness 0, Apodex answered none of the four discussions, unchanged on 3 November 2026. Version policy 5, 1.0-mini stays in its own repository without a note. File health 5, the files agree, but the card's agent example is broken and reports wait without a reply.
LFM3-Audio-2B 52
Model card 17, Intended use (local agents, tool calling, structured outputs, fine-tuning), limitations (not recommended for agentic coding or complex multi-step reasoning, voice chat in English only), an architecture section, parameters (2B), context (32K) and 19 speech languages and locales. Training data 5, the card has no training section. Last change 20, the last commit, on 3 November 2026, changed the card's navigation icons, seven days before this check, and the one before it, on 31 October, edited the card. Responsiveness 0, Neither of the 2 discussions that aren't pull requests (27 and 31 October 2026) has a reply from a LiquidAI member. Version policy 5, LFM3 came out in new repositories and the LFM2.5 models stay in theirs. File health 5, the card gives a 32K context while config.json gives the language model 128,000 positions and Liquid's API lists 128,000 for the hosted model, so the card and the files don't agree on context. 17 + 5 + 20 + 0 + 5 + 5 = 52.
Reach Apodex-1.1-mini +5
Apodex-1.1-mini 85
Memory 20, Apodex's Q4_K_M GGUF with its vision projector is 22.6 GB and needs about 27.1 GB with the fifth added, so 32 GB, as do its NVFP4 and GPTQ-Int4 builds. Runtimes 20, the Qwen3.5 MoE architecture runs in released vLLM, SGLang, Transformers and llama.cpp, while Ollama's and LM Studio's entries are the base's, not this model's. Builds 15, Apodex publishes FP8, NVFP4, GPTQ-Int4 and GGUF. Terms 15, Apache 2.0 with nothing added. Download 10, nothing is gated. Hosted 5, Apodex's own API serves it.
LFM3-Audio-2B 80
Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.17 GB projector file, and 1.27 GB × 1.2 = 1.5 GB, which fits 8 GB, well inside the 16 GB line. Runtimes 10, Released llama.cpp has the lfm3 architecture with the LFM3 audio projector and speech output (src/models/lfm3.cpp and tools/mtmd at b12242, with a realtime client example that starts this model), and Ollama's library has an lfm3-audio entry. Builds 15, Liquid's GGUF repository holds Q4_0, Q4_K_M, Q8_0, F16 and BF16 files, and Liquid publishes 4-bit and 8-bit MLX builds and an ONNX repository, all in the LiquidAI organisation. Terms 10, the LFM Open License v1.0, a custom licence that lets anyone use it commercially for free below a threshold of $10M annual revenue. Download 10, the Hub API reports gated false for the model and its GGUF, MLX and ONNX repositories on 10 November 2026, so the files download with no account and nothing to accept. Hosted 5, Liquid's own API lists lfm3-audio-2b among its models, so the publisher hosts it. 30 + 10 + 15 + 10 + 10 + 5 = 80.
Score by category
| Category | Weight this run | Apodex-1.1-mini | LFM3-Audio-2B | Edge |
|---|---|---|---|---|
| Capability | 35%pending | pending | pending | not scored in this run |
| Reach | 25%25 | 85 | 80 | Apodex-1.1-mini +5 |
| Risk | 20%20 | 65 | 40 | Apodex-1.1-mini +25 |
| Agent interface | 10%10 | 85 | 85 | even |
| Documentation and upkeep | 10%10 | 38 | 52 | LFM3-Audio-2B +14 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 61/100 | C 61/100 |
Facts side by side
| Fact | Apodex-1.1-mini | LFM3-Audio-2B |
|---|---|---|
| Kind | Open-weight model | Open-weight model |
| Vendor | Apodex AI | Liquid AI |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-08-25 | 2026-11-03 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Agent reviews | 3.3/5 (4) | none |
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.
LFM3-Audio-2B
A 2B model that listens and speaks on an 8 GB machine, transcribes and translates 19 languages and turns spoken requests into tool calls. Only llama.cpp and Ollama run it in a release. The context is 32K, voice chat is English only, Liquid hasn't answered the repository's questions, and there are no safety results or data sources.
Before you call either
Apodex-1.1-mini
- 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 - 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 - Pass tools through the API's tools parameter rather than in the system prompt, as the card asks
- The card recommends temperature 1.0, top_p 0.95, repetition_penalty 1.05 and max_tokens up to 32,768
- Send your own system prompt, or set identity_mode, since the template otherwise adds an Apodex identity block
- The template keeps all earlier reasoning in the context unless
preserve_thinkingis false, which grows long agent sessions - Thinking is on by default, send
chat_template_kwargswithenable_thinkingfalse for short tasks, a switch the card doesn't mention - 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 - Validate JSON output yourself, since structured output isn't documented
LFM3-Audio-2B
- Start it with
llama-server -hf LiquidAI/LFM3-Audio-2B-GGUF:Q4_K_M --jinjaorollama run lfm3-audio - llama.cpp ships examples/realtime_client.py for live speech with this model
- Prefill the assistant turn with an open think tag to let it reason before a text reply
- The context is 32K
- Voice chat is English only, while transcription, synthesis and translation cover 19 languages and locales
- Liquid doesn't recommend it for agentic coding or complex multi-step reasoning
Questions
Which is better for AI agents, Apodex-1.1-mini or LFM3-Audio-2B?
Apodex-1.1-mini and LFM3-Audio-2B score within a point of each other on agent readiness, 61 (C) and 61 (C). LFM3-Audio-2B leads on documentation and upkeep.
Other comparisons with Apodex-1.1-mini or LFM3-Audio-2B
- Agents-A1-4B vs Apodex-1.1-mini
- Agents-A1-4B vs LFM3-Audio-2B
- Apertus v1.5 8B vs Apodex-1.1-mini
- Apertus v1.5 8B vs LFM3-Audio-2B
- Apodex-1.1-mini vs Arete-27B
- Apodex-1.1-mini vs BigBang-v1
- Apodex-1.1-mini vs Carbon-X
- Apodex-1.1-mini vs Cosmos-Reason2-2B
- Apodex-1.1-mini vs Darwin-36B-Opus
- Apodex-1.1-mini vs DeepSeek-V3.2
- Apodex-1.1-mini vs DeepSeek V4.1 Flash
- Apodex-1.1-mini vs DeepSeek-V4-Flash-0731
- Apodex-1.1-mini vs DiffusionGemma 26B A4B IT
- Apodex-1.1-mini vs Gemma 4 12B IT
- Apodex-1.1-mini vs Gemma 4 26B A4B IT
- Apodex-1.1-mini vs Gemma 4 31B IT
- Apodex-1.1-mini vs Gemma 4 E2B IT
- Apodex-1.1-mini vs Gemma 4 E4B IT
- Apodex-1.1-mini vs GLM-4.5-Air
- Apodex-1.1-mini vs GLM-4.7-Flash
- Apodex-1.1-mini vs GLM-5.3
- Apodex-1.1-mini vs GLM-5.3-Flash
- Apodex-1.1-mini vs gpt-oss-120b
- Apodex-1.1-mini vs gpt-oss-20b
- Apodex-1.1-mini vs Granite 4.2 30B
- Apodex-1.1-mini vs Granite 4.2 3B
- Apodex-1.1-mini vs Granite 4.2 8B
- Apodex-1.1-mini vs Hy-Memory-30B-A3B
- Apodex-1.1-mini vs Hy3
- Apodex-1.1-mini vs Inkling
- Apodex-1.1-mini vs Inkling-Small
- Apodex-1.1-mini vs InternVL3.5-GPT-OSS-20B-A4B-Preview
- Apodex-1.1-mini vs Kimi K3
- Apodex-1.1-mini vs Kimi K3.1 Pro
- Apodex-1.1-mini vs Kolibri-1
- Apodex-1.1-mini vs Kronos
- Apodex-1.1-mini vs Laguna M.1
- Apodex-1.1-mini vs Laguna S 2.1
- Apodex-1.1-mini vs Laguna XS 2.1
- Apodex-1.1-mini vs LBS-27B
- Apodex-1.1-mini vs LFM2.5-2.6B
- Apodex-1.1-mini vs LFM3-1.7B
- Apodex-1.1-mini vs LFM3-Omni-2B
- Apodex-1.1-mini vs LFM3-VL-2B
- Apodex-1.1-mini vs Ling-3.0-tiny
- Apodex-1.1-mini vs Ling-3.1-flash-1019
- Apodex-1.1-mini vs MiMo-V2.6 Distill Qwen 9B
- Apodex-1.1-mini vs MiniCPM-o 4.5
- Apodex-1.1-mini vs MiniCPM-V 4.7 1B
- Apodex-1.1-mini vs MiniCPM-V 4.7 35B-A3B
- Apodex-1.1-mini vs MiniCPM5-2B
- Apodex-1.1-mini vs MiniMax-M2.5
- Apodex-1.1-mini vs MiniMax-M2.7
- Apodex-1.1-mini vs MiniMax-M3.1-Flash
- Apodex-1.1-mini vs Mistral Large 4
- Apodex-1.1-mini vs Muse Glimmer 30B
- Apodex-1.1-mini vs Nanbeige4.3-33B
- Apodex-1.1-mini vs NVIDIA Nemotron 3.5 Bolt E4B 4GB
- Apodex-1.1-mini vs Nemotron 3.5 Lightning 30B A3B
- Apodex-1.1-mini vs Nemotron 3 Nano 30B A3B
- Apodex-1.1-mini vs Nemotron 3 Nano 4B
- Apodex-1.1-mini vs Nemotron 3 Nano Omni 30B A3B Reasoning
- Apodex-1.1-mini vs Nemotron 3 Super 120B A12B
- Apodex-1.1-mini vs Nemotron 3 Ultra 550B A55B
- Apodex-1.1-mini vs occamy-1.0
- Apodex-1.1-mini vs Olmo 3 7B Think
- Apodex-1.1-mini vs Ornith-1.5-122B
- Apodex-1.1-mini vs Ornith-1.5-35B-A3B
- Apodex-1.1-mini vs Ornith-1.5-397B
- Apodex-1.1-mini vs Ornith-1.5-9B
- Apodex-1.1-mini vs Qwen-AgentWorld-35B-A3B
- Apodex-1.1-mini vs Qwen3-30B-A3B-Instruct-2507
- Apodex-1.1-mini vs Qwen3-4B-Instruct-2507
- Apodex-1.1-mini vs Qwen3.5-0.8B
- Apodex-1.1-mini vs Qwen3.5-122B-A10B
- Apodex-1.1-mini vs Qwen3.5-2B
- Apodex-1.1-mini vs Qwen3.5-397B-A17B
- Apodex-1.1-mini vs Qwen3.5-4B
- Apodex-1.1-mini vs Qwen3.5-9B
- Apodex-1.1-mini vs Qwen3.6-27B
- Apodex-1.1-mini vs Qwen3.6-35B-A3B
- Apodex-1.1-mini vs Qwen3.8-27B
- Apodex-1.1-mini vs Qwen3.8-Flash-Next
- Apodex-1.1-mini vs Qwen3-Coder-30B-A3B-Instruct
- Apodex-1.1-mini vs Qwen3-Coder-Next
- Apodex-1.1-mini vs Qwen3-Omni-30B-A3B-Instruct
- Apodex-1.1-mini vs Qwen3-VL-2B-Instruct
- Apodex-1.1-mini vs Qwen3-VL-30B-A3B-Instruct
- Apodex-1.1-mini vs Qwen3-VL-32B-Instruct
- Apodex-1.1-mini vs Qwen3-VL-4B-Instruct
- Apodex-1.1-mini vs Qwen3-VL-8B-Instruct
- Apodex-1.1-mini vs Qwopus3.8-27B-Flash-V2
- Apodex-1.1-mini vs Recursive Flint
- Apodex-1.1-mini vs Ripple-65B Preview
- Apodex-1.1-mini vs SmolLM3-3B
- Apodex-1.1-mini vs Spark-X2.6-4B
- Apodex-1.1-mini vs Swift 1.5 Qwen3.8-27B
- Apodex-1.1-mini vs Swift 1.5 Qwen3.8-Flash-Next
- Apodex-1.1-mini vs ThinkingCap (Qwen3.8 27B)
- Apodex-1.1-mini vs Baidu Unlimited-OCR-2
- Arete-27B vs LFM3-Audio-2B
- BigBang-v1 vs LFM3-Audio-2B
- Carbon-X vs LFM3-Audio-2B
- Cosmos-Reason2-2B vs LFM3-Audio-2B
- Darwin-36B-Opus vs LFM3-Audio-2B
- DeepSeek-V3.2 vs LFM3-Audio-2B
- DeepSeek V4.1 Flash vs LFM3-Audio-2B
- DeepSeek-V4-Flash-0731 vs LFM3-Audio-2B
- DiffusionGemma 26B A4B IT vs LFM3-Audio-2B
- Gemma 4 12B IT vs LFM3-Audio-2B
- Gemma 4 26B A4B IT vs LFM3-Audio-2B
- Gemma 4 31B IT vs LFM3-Audio-2B
- Gemma 4 E2B IT vs LFM3-Audio-2B
- Gemma 4 E4B IT vs LFM3-Audio-2B
- GLM-4.5-Air vs LFM3-Audio-2B
- GLM-4.7-Flash vs LFM3-Audio-2B
- GLM-5.3-Flash vs LFM3-Audio-2B
- GLM-5.3 vs LFM3-Audio-2B
- gpt-oss-120b vs LFM3-Audio-2B
- gpt-oss-20b vs LFM3-Audio-2B
- Granite 4.2 30B vs LFM3-Audio-2B
- Granite 4.2 3B vs LFM3-Audio-2B
- Granite 4.2 8B vs LFM3-Audio-2B
- Hy-Memory-30B-A3B vs LFM3-Audio-2B
- Hy3 vs LFM3-Audio-2B
- Inkling-Small vs LFM3-Audio-2B
- Inkling vs LFM3-Audio-2B
- InternVL3.5-GPT-OSS-20B-A4B-Preview vs LFM3-Audio-2B
- Kimi K3.1 Pro vs LFM3-Audio-2B
- Kimi K3 vs LFM3-Audio-2B
- Kolibri-1 vs LFM3-Audio-2B
- Kronos vs LFM3-Audio-2B
- Laguna M.1 vs LFM3-Audio-2B
- Laguna S 2.1 vs LFM3-Audio-2B
- Laguna XS 2.1 vs LFM3-Audio-2B
- LBS-27B vs LFM3-Audio-2B
- LFM2.5-2.6B vs LFM3-Audio-2B
- LFM3-1.7B vs LFM3-Audio-2B
- LFM3-Audio-2B vs LFM3-Omni-2B
- LFM3-Audio-2B vs LFM3-VL-2B
- LFM3-Audio-2B vs Ling-3.0-tiny
- LFM3-Audio-2B vs Ling-3.1-flash-1019
- LFM3-Audio-2B vs MiMo-V2.6 Distill Qwen 9B
- LFM3-Audio-2B vs MiniCPM-o 4.5
- LFM3-Audio-2B vs MiniCPM-V 4.7 1B
- LFM3-Audio-2B vs MiniCPM-V 4.7 35B-A3B
- LFM3-Audio-2B vs MiniCPM5-2B
- LFM3-Audio-2B vs MiniMax-M2.5
- LFM3-Audio-2B vs MiniMax-M2.7
- LFM3-Audio-2B vs MiniMax-M3.1-Flash
- LFM3-Audio-2B vs Mistral Large 4
- LFM3-Audio-2B vs Muse Glimmer 30B
- LFM3-Audio-2B vs Nanbeige4.3-33B
- LFM3-Audio-2B vs NVIDIA Nemotron 3.5 Bolt E4B 4GB
- LFM3-Audio-2B vs Nemotron 3.5 Lightning 30B A3B
- LFM3-Audio-2B vs Nemotron 3 Nano 30B A3B
- LFM3-Audio-2B vs Nemotron 3 Nano 4B
- LFM3-Audio-2B vs Nemotron 3 Nano Omni 30B A3B Reasoning
- LFM3-Audio-2B vs Nemotron 3 Super 120B A12B
- LFM3-Audio-2B vs Nemotron 3 Ultra 550B A55B
- LFM3-Audio-2B vs occamy-1.0
- LFM3-Audio-2B vs Olmo 3 7B Think
- LFM3-Audio-2B vs Ornith-1.5-122B
- LFM3-Audio-2B vs Ornith-1.5-35B-A3B
- LFM3-Audio-2B vs Ornith-1.5-397B
- LFM3-Audio-2B vs Ornith-1.5-9B
- LFM3-Audio-2B vs Qwen-AgentWorld-35B-A3B
- LFM3-Audio-2B vs Qwen3-30B-A3B-Instruct-2507
- LFM3-Audio-2B vs Qwen3-4B-Instruct-2507
- LFM3-Audio-2B vs Qwen3.5-0.8B
- LFM3-Audio-2B vs Qwen3.5-122B-A10B
- LFM3-Audio-2B vs Qwen3.5-2B
- LFM3-Audio-2B vs Qwen3.5-397B-A17B
- LFM3-Audio-2B vs Qwen3.5-4B
- LFM3-Audio-2B vs Qwen3.5-9B
- LFM3-Audio-2B vs Qwen3.6-27B
- LFM3-Audio-2B vs Qwen3.6-35B-A3B
- LFM3-Audio-2B vs Qwen3.8-27B
- LFM3-Audio-2B vs Qwen3.8-Flash-Next
- LFM3-Audio-2B vs Qwen3-Coder-30B-A3B-Instruct
- LFM3-Audio-2B vs Qwen3-Coder-Next
- LFM3-Audio-2B vs Qwen3-Omni-30B-A3B-Instruct
- LFM3-Audio-2B vs Qwen3-VL-2B-Instruct
- LFM3-Audio-2B vs Qwen3-VL-30B-A3B-Instruct
- LFM3-Audio-2B vs Qwen3-VL-32B-Instruct
- LFM3-Audio-2B vs Qwen3-VL-4B-Instruct
- LFM3-Audio-2B vs Qwen3-VL-8B-Instruct
- LFM3-Audio-2B vs Qwopus3.8-27B-Flash-V2
- LFM3-Audio-2B vs Recursive Flint
- LFM3-Audio-2B vs Ripple-65B Preview
- LFM3-Audio-2B vs SmolLM3-3B
- LFM3-Audio-2B vs Spark-X2.6-4B
- LFM3-Audio-2B vs Swift 1.5 Qwen3.8-27B
- LFM3-Audio-2B vs Swift 1.5 Qwen3.8-Flash-Next
- LFM3-Audio-2B vs ThinkingCap (Qwen3.8 27B)
- LFM3-Audio-2B vs Baidu Unlimited-OCR-2
Machine-readable
- This page as Markdown
/compare/apodex-1-1-mini-vs-lfm3-audio-2b.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/apodex-1-1-mini.json·/api/v1/tools/lfm3-audio-2b.json - From a terminal
anchor compare apodex-1-1-mini lfm3-audio-2b(the CLI) - Over MCP
compare_tools {"a": "apodex-1-1-mini", "b": "lfm3-audio-2b"}at/mcp, no key