Head to head · Open-weight models you run yourself · October 2026 research run
occamy-1.0 vs Qwen3-VL-8B-Instruct
occamy-1.0 scores 61 (C) on agent readiness against Qwen3-VL-8B-Instruct's 54.9 (C), and leads in 2 of 4 scored categories. Qwen3-VL-8B-Instruct leads on reach. Both do open-weight models you run yourself.
Best open-weight models you download and run yourself for AI agents · All 2870 open weights comparisons
occamy-1.0Accio (Accio-Lab) · Open-weight model
C61/100#51 of 100 open-weight models
Qwen3-VL-8B-InstructAlibaba (Qwen team) · Open-weight model
C54.9/100#82 of 100 open-weight models
Which one, for what
Best for Agents that want an Apache 2.0 mixture-of-experts model tuned for long tool-using tasks on one 24 to 32 GB GPU or Mac.
Ahead on
- Agent interface, 70 against 60
- Documentation and upkeep, 74 against 31
Watch for
No safety results, prompt-injection guidance or security contact
Best for An agent with 8 GB or more to spare that needs a local model to read images, documents and video
Ahead on
- Reach, 100 against 85
Watch for
No safety evaluation, agent-use guidance or security contact
Score by category
| Category | Weight this run | occamy-1.0 | Qwen3-VL-8B-Instruct | Edge |
|---|---|---|---|---|
| Capability | 35%pending | pending | pending | not scored in this run |
| Reach | 25%25 | 85 | 100 | Qwen3-VL-8B-Instruct +15 |
| Risk | 20%20 | 55 | 55 | even |
| Agent interface | 10%10 | 70 | 60 | occamy-1.0 +10 |
| Documentation and upkeep | 10%10 | 74 | 31 | occamy-1.0 +43 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 61/100 | C 54.9/100 |
Facts side by side
| Fact | occamy-1.0 | Qwen3-VL-8B-Instruct |
|---|---|---|
| Kind | Open-weight model | Open-weight model |
| Vendor | Accio (Accio-Lab) | 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 | 2026-10-02 | 2025-11-01 |
| 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 | 3/5 (4) | 2.8/5 (4) |
Verdicts
occamy-1.0
A Qwen3.6-35B-A3B fine-tuned for long agent work with tools, files and code, under plain Apache 2.0, and Accio's 4-bit builds run in about 23 GB. The main gaps are no safety results, agent guidance or security contact, and every benchmark figure is Accio's own.
Qwen3-VL-8B-Instruct
A small vision-language cousin for reading screenshots, documents, charts and video, in about 6 GB from Alibaba's Q4_K_M GGUF and every major runtime, under plain Apache 2.0. It has no thinking mode and documents tool calls only in the template. The main risk is no published safety work, so add your own guardrails before it drives a GUI.
Before you call either
occamy-1.0
- Serve with
--reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coderon vLLM 0.19.0 or SGLang 0.5.10 and later - BF16 is 70.2 GB, so on a 128 GB machine run it without the card's 8-way tensor parallelism
- Keep the whole assistant message, reasoning and tool calls included, in later turns, as the card says
- Sampling per the card is temperature 1.0, top_p 0.95, top_k 20 and presence_penalty 1.5
- With the GGUFs, NFC-normalise input text and read TOKENIZER.md, since the files store qwen2 pre-tokenizer metadata
- The base's MTP layer isn't in this checkpoint, Accio-Lab/occamy-1.0-MTP is an experimental separate head
Qwen3-VL-8B-Instruct
- Start it with
llama-server -hf Qwen/Qwen3-VL-8B-Instruct-GGUF:Q4_K_M --jinja -c 32768, orollama run qwen3-vl:8b-instruct - In Ollama the plain
qwen3-vl:8btag is the Thinking edition, so name8b-instruct - With the GGUF, load the mmproj vision file too, or images won't be read
- Parse tool calls as JSON inside
<tool_call>tags, or use SGLang's--tool-call-parser qwen - Use the card's sampling,
temperature=0.7, top_p=0.8, top_k=20, presence_penalty=1.5for vision andtemperature=1.0, top_p=1.0, top_k=40, presence_penalty=2.0for text - Validate JSON output yourself, since structured output isn't documented
- vLLM needs 0.11.0 or later and Transformers 4.57.0 or later
Questions
Which is better for AI agents, occamy-1.0 or Qwen3-VL-8B-Instruct?
occamy-1.0 scores 61 (C) on agent readiness against Qwen3-VL-8B-Instruct's 54.9 (C), and leads in 2 of 4 scored categories. Qwen3-VL-8B-Instruct leads on reach.
Other comparisons with occamy-1.0 or Qwen3-VL-8B-Instruct
- Agents-A1-4B vs occamy-1.0
- Agents-A1-4B vs Qwen3-VL-8B-Instruct
- Apertus v1.5 8B vs occamy-1.0
- Apertus v1.5 8B vs Qwen3-VL-8B-Instruct
- Apodex-1.1-mini vs occamy-1.0
- Apodex-1.1-mini vs Qwen3-VL-8B-Instruct
- BigBang-v1 vs occamy-1.0
- BigBang-v1 vs Qwen3-VL-8B-Instruct
- Cosmos-Reason2-2B vs occamy-1.0
- Cosmos-Reason2-2B vs Qwen3-VL-8B-Instruct
- Darwin-36B-Opus vs occamy-1.0
- Darwin-36B-Opus vs Qwen3-VL-8B-Instruct
- DeepSeek-V3.2 vs occamy-1.0
- DeepSeek-V3.2 vs Qwen3-VL-8B-Instruct
- DeepSeek V4.1 Flash vs occamy-1.0
- DeepSeek V4.1 Flash vs Qwen3-VL-8B-Instruct
- DeepSeek-V4-Flash-0731 vs occamy-1.0
- DeepSeek-V4-Flash-0731 vs Qwen3-VL-8B-Instruct
- DiffusionGemma 26B A4B IT vs occamy-1.0
- DiffusionGemma 26B A4B IT vs Qwen3-VL-8B-Instruct
- Gemma 4 12B IT vs occamy-1.0
- Gemma 4 12B IT vs Qwen3-VL-8B-Instruct
- Gemma 4 26B A4B IT vs occamy-1.0
- Gemma 4 26B A4B IT vs Qwen3-VL-8B-Instruct
- Gemma 4 31B IT vs occamy-1.0
- Gemma 4 31B IT vs Qwen3-VL-8B-Instruct
- Gemma 4 E2B IT vs occamy-1.0
- Gemma 4 E2B IT vs Qwen3-VL-8B-Instruct
- Gemma 4 E4B IT vs occamy-1.0
- Gemma 4 E4B IT vs Qwen3-VL-8B-Instruct
- GLM-4.5-Air vs occamy-1.0
- GLM-4.5-Air vs Qwen3-VL-8B-Instruct
- GLM-4.7-Flash vs occamy-1.0
- GLM-4.7-Flash vs Qwen3-VL-8B-Instruct
- GLM-5.3-Flash vs occamy-1.0
- GLM-5.3-Flash vs Qwen3-VL-8B-Instruct
- GLM-5.3 vs occamy-1.0
- GLM-5.3 vs Qwen3-VL-8B-Instruct
- gpt-oss-120b vs occamy-1.0
- gpt-oss-120b vs Qwen3-VL-8B-Instruct
- gpt-oss-20b vs occamy-1.0
- gpt-oss-20b vs Qwen3-VL-8B-Instruct
- Granite 4.2 3B vs occamy-1.0
- Granite 4.2 3B vs Qwen3-VL-8B-Instruct
- Hy3 vs occamy-1.0
- Hy3 vs Qwen3-VL-8B-Instruct
- Inkling-Small vs occamy-1.0
- Inkling-Small vs Qwen3-VL-8B-Instruct
- Inkling vs occamy-1.0
- Inkling vs Qwen3-VL-8B-Instruct
- InternVL3.5-GPT-OSS-20B-A4B-Preview vs occamy-1.0
- InternVL3.5-GPT-OSS-20B-A4B-Preview vs Qwen3-VL-8B-Instruct
- Kimi K3 vs occamy-1.0
- Kimi K3 vs Qwen3-VL-8B-Instruct
- Kolibri-1 vs occamy-1.0
- Kolibri-1 vs Qwen3-VL-8B-Instruct
- Laguna M.1 vs occamy-1.0
- Laguna M.1 vs Qwen3-VL-8B-Instruct
- Laguna S 2.1 vs occamy-1.0
- Laguna S 2.1 vs Qwen3-VL-8B-Instruct
- Laguna XS 2.1 vs occamy-1.0
- Laguna XS 2.1 vs Qwen3-VL-8B-Instruct
- LFM2.5-2.6B vs occamy-1.0
- LFM2.5-2.6B vs Qwen3-VL-8B-Instruct
- Ling-3.0-tiny vs occamy-1.0
- Ling-3.0-tiny vs Qwen3-VL-8B-Instruct
- MiMo-V2.6 Distill Qwen 9B vs occamy-1.0
- MiMo-V2.6 Distill Qwen 9B vs Qwen3-VL-8B-Instruct
- MiniCPM-o 4.5 vs occamy-1.0
- MiniCPM-o 4.5 vs Qwen3-VL-8B-Instruct
- MiniCPM5-2B vs occamy-1.0
- MiniCPM5-2B vs Qwen3-VL-8B-Instruct
- MiniMax-M2.5 vs occamy-1.0
- MiniMax-M2.5 vs Qwen3-VL-8B-Instruct
- MiniMax-M2.7 vs occamy-1.0
- MiniMax-M2.7 vs Qwen3-VL-8B-Instruct
- Muse Glimmer 30B vs occamy-1.0
- Muse Glimmer 30B vs Qwen3-VL-8B-Instruct
- Nemotron 3.5 Lightning 30B A3B vs occamy-1.0
- Nemotron 3.5 Lightning 30B A3B vs Qwen3-VL-8B-Instruct
- Nemotron 3 Nano 30B A3B vs occamy-1.0
- Nemotron 3 Nano 30B A3B vs Qwen3-VL-8B-Instruct
- Nemotron 3 Nano 4B vs occamy-1.0
- Nemotron 3 Nano 4B vs Qwen3-VL-8B-Instruct
- Nemotron 3 Nano Omni 30B A3B Reasoning vs occamy-1.0
- Nemotron 3 Nano Omni 30B A3B Reasoning vs Qwen3-VL-8B-Instruct
- Nemotron 3 Super 120B A12B vs occamy-1.0
- Nemotron 3 Super 120B A12B vs Qwen3-VL-8B-Instruct
- Nemotron 3 Ultra 550B A55B vs occamy-1.0
- Nemotron 3 Ultra 550B A55B vs Qwen3-VL-8B-Instruct
- occamy-1.0 vs Olmo 3 7B Think
- occamy-1.0 vs Ornith-1.5-35B-A3B
- occamy-1.0 vs Ornith-1.5-397B
- occamy-1.0 vs Ornith-1.5-9B
- occamy-1.0 vs Qwen3-30B-A3B-Instruct-2507
- occamy-1.0 vs Qwen3-4B-Instruct-2507
- occamy-1.0 vs Qwen3.5-0.8B
- occamy-1.0 vs Qwen3.5-122B-A10B
- occamy-1.0 vs Qwen3.5-2B
- occamy-1.0 vs Qwen3.5-397B-A17B
- occamy-1.0 vs Qwen3.5-4B
- occamy-1.0 vs Qwen3.5-9B
- occamy-1.0 vs Qwen3.6-27B
- occamy-1.0 vs Qwen3.6-35B-A3B
- occamy-1.0 vs Qwen3.8-27B
- occamy-1.0 vs Qwen3.8-Flash-Next
- occamy-1.0 vs Qwen3-Coder-30B-A3B-Instruct
- occamy-1.0 vs Qwen3-Coder-Next
- occamy-1.0 vs Qwen3-Omni-30B-A3B-Instruct
- occamy-1.0 vs Qwen3-VL-2B-Instruct
- occamy-1.0 vs Qwen3-VL-30B-A3B-Instruct
- occamy-1.0 vs Qwen3-VL-32B-Instruct
- occamy-1.0 vs Qwen3-VL-4B-Instruct
- occamy-1.0 vs Qwopus3.8-27B-Flash-V2
- occamy-1.0 vs SmolLM3-3B
- occamy-1.0 vs Spark-X2.6-4B
- occamy-1.0 vs Swift 1.5 Qwen3.8-27B
- occamy-1.0 vs Swift 1.5 Qwen3.8-Flash-Next
- occamy-1.0 vs ThinkingCap (Qwen3.8 27B)
- Olmo 3 7B Think vs Qwen3-VL-8B-Instruct
- Ornith-1.5-35B-A3B vs Qwen3-VL-8B-Instruct
- Ornith-1.5-397B vs Qwen3-VL-8B-Instruct
- Ornith-1.5-9B vs Qwen3-VL-8B-Instruct
- Qwen3-30B-A3B-Instruct-2507 vs Qwen3-VL-8B-Instruct
- Qwen3-4B-Instruct-2507 vs Qwen3-VL-8B-Instruct
- Qwen3.5-0.8B vs Qwen3-VL-8B-Instruct
- Qwen3.5-122B-A10B vs Qwen3-VL-8B-Instruct
- Qwen3.5-2B vs Qwen3-VL-8B-Instruct
- Qwen3.5-397B-A17B vs Qwen3-VL-8B-Instruct
- Qwen3.5-4B vs Qwen3-VL-8B-Instruct
- Qwen3.5-9B vs Qwen3-VL-8B-Instruct
- Qwen3.6-27B vs Qwen3-VL-8B-Instruct
- Qwen3.6-35B-A3B vs Qwen3-VL-8B-Instruct
- Qwen3.8-27B vs Qwen3-VL-8B-Instruct
- Qwen3.8-Flash-Next vs Qwen3-VL-8B-Instruct
- Qwen3-Coder-30B-A3B-Instruct vs Qwen3-VL-8B-Instruct
- Qwen3-Coder-Next vs Qwen3-VL-8B-Instruct
- Qwen3-Omni-30B-A3B-Instruct vs Qwen3-VL-8B-Instruct
- Qwen3-VL-2B-Instruct vs Qwen3-VL-8B-Instruct
- Qwen3-VL-30B-A3B-Instruct vs Qwen3-VL-8B-Instruct
- Qwen3-VL-32B-Instruct vs Qwen3-VL-8B-Instruct
- Qwen3-VL-4B-Instruct vs Qwen3-VL-8B-Instruct
- Qwen3-VL-8B-Instruct vs Qwopus3.8-27B-Flash-V2
- Qwen3-VL-8B-Instruct vs SmolLM3-3B
- Qwen3-VL-8B-Instruct vs Spark-X2.6-4B
- Qwen3-VL-8B-Instruct vs Swift 1.5 Qwen3.8-27B
- Qwen3-VL-8B-Instruct vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3-VL-8B-Instruct vs ThinkingCap (Qwen3.8 27B)
Machine-readable
- This page as Markdown
/compare/occamy-1-0-vs-qwen3-vl-8b-instruct.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/occamy-1-0.json·/api/v1/tools/qwen3-vl-8b-instruct.json - From a terminal
anchor compare occamy-1-0 qwen3-vl-8b-instruct(the CLI) - Over MCP
compare_tools {"a": "occamy-1-0", "b": "qwen3-vl-8b-instruct"}at/mcp, no key