Head to head · Open-weight models you run yourself · October 2026 research run
occamy-1.0 vs Qwen3-Coder-Next
occamy-1.0 scores 61 (C) on agent readiness against Qwen3-Coder-Next's 57.6 (C), and leads in 2 of 4 scored categories. Qwen3-Coder-Next leads on agent interface. 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-Coder-NextAlibaba (Qwen team) · Open-weight model
C57.6/100#70 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
- Risk, 55 against 50
- Documentation and upkeep, 74 against 41
Watch for
No safety results, prompt-injection guidance or security contact
Best for Agents that want a local coding model for long tool-calling loops on a single 64 GB to 128 GB machine.
Ahead on
- Agent interface, 75 against 70
Watch for
No LICENSE file anywhere and a broken licence link on the card
Score by category
| Category | Weight this run | occamy-1.0 | Qwen3-Coder-Next | Edge |
|---|---|---|---|---|
| Capability | 35%pending | pending | pending | not scored in this run |
| Reach | 25%25 | 85 | 85 | even |
| Risk | 20%20 | 55 | 50 | occamy-1.0 +5 |
| Agent interface | 10%10 | 70 | 75 | Qwen3-Coder-Next +5 |
| Documentation and upkeep | 10%10 | 74 | 41 | occamy-1.0 +33 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 61/100 | C 57.6/100 |
Facts side by side
| Fact | occamy-1.0 | Qwen3-Coder-Next |
|---|---|---|
| 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 | 2026-02-03 |
| 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-Coder-Next
A fast coding cousin for agent harnesses, with 3B active parameters and tool calling trained across many scaffold formats for Claude Code, Cline or Qwen Code loops. Alibaba's 4-bit GGUF needs about 58 GB, fitting one 64 GB machine, and two providers host it. The main risk is neglect, with no change since February, no replies and no safety results.
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-Coder-Next
- Quickest start is
ollama run qwen3-coder-next(Q4_K_M, 52 GB of files) - On our reference machine Alibaba's Q8_0 GGUF (84.8 GB, about 102 GB in use) also fits, run with
llama-server -m Qwen3-Coder-Next-Q8_0/Qwen3-Coder-Next-Q8_0-00001-of-00004.gguf --jinja -ngl 99 -fa on -c 131072 - Serve with
vllm serve Qwen/Qwen3-Coder-Next --enable-auto-tool-choice --tool-call-parser qwen3_coder(vLLM 0.15.0 or later), using the built-in parser rather than the repository's qwen3coder_tool_parser_vllm.py, which fails to import on newer vLLM per discussion 36 - The card's commands use tensor parallel 2 though the text says 4 GPUs, and it suggests cutting the context to 32,768 if the server fails to start
- There's no thinking mode, so don't pass
enable_thinkingor wait for reasoning_content - Sampling per the card is temperature 1.0, top_p 0.95 and top_k 40
- The GGUF card's llama.cpp example path omits the quant from the file name; the real files are named like Qwen3-Coder-Next-Q4_K_M-00001-of-00004.gguf
- Validate any JSON it returns, since structured output isn't documented
Questions
Which is better for AI agents, occamy-1.0 or Qwen3-Coder-Next?
occamy-1.0 scores 61 (C) on agent readiness against Qwen3-Coder-Next's 57.6 (C), and leads in 2 of 4 scored categories. Qwen3-Coder-Next leads on agent interface.
Other comparisons with occamy-1.0 or Qwen3-Coder-Next
- Agents-A1-4B vs occamy-1.0
- Agents-A1-4B vs Qwen3-Coder-Next
- Apertus v1.5 8B vs occamy-1.0
- Apertus v1.5 8B vs Qwen3-Coder-Next
- Apodex-1.1-mini vs occamy-1.0
- Apodex-1.1-mini vs Qwen3-Coder-Next
- BigBang-v1 vs occamy-1.0
- BigBang-v1 vs Qwen3-Coder-Next
- Cosmos-Reason2-2B vs occamy-1.0
- Cosmos-Reason2-2B vs Qwen3-Coder-Next
- Darwin-36B-Opus vs occamy-1.0
- Darwin-36B-Opus vs Qwen3-Coder-Next
- DeepSeek-V3.2 vs occamy-1.0
- DeepSeek-V3.2 vs Qwen3-Coder-Next
- DeepSeek V4.1 Flash vs occamy-1.0
- DeepSeek V4.1 Flash vs Qwen3-Coder-Next
- DeepSeek-V4-Flash-0731 vs occamy-1.0
- DeepSeek-V4-Flash-0731 vs Qwen3-Coder-Next
- DiffusionGemma 26B A4B IT vs occamy-1.0
- DiffusionGemma 26B A4B IT vs Qwen3-Coder-Next
- Gemma 4 12B IT vs occamy-1.0
- Gemma 4 12B IT vs Qwen3-Coder-Next
- Gemma 4 26B A4B IT vs occamy-1.0
- Gemma 4 26B A4B IT vs Qwen3-Coder-Next
- Gemma 4 31B IT vs occamy-1.0
- Gemma 4 31B IT vs Qwen3-Coder-Next
- Gemma 4 E2B IT vs occamy-1.0
- Gemma 4 E2B IT vs Qwen3-Coder-Next
- Gemma 4 E4B IT vs occamy-1.0
- Gemma 4 E4B IT vs Qwen3-Coder-Next
- GLM-4.5-Air vs occamy-1.0
- GLM-4.5-Air vs Qwen3-Coder-Next
- GLM-4.7-Flash vs occamy-1.0
- GLM-4.7-Flash vs Qwen3-Coder-Next
- GLM-5.3-Flash vs occamy-1.0
- GLM-5.3-Flash vs Qwen3-Coder-Next
- GLM-5.3 vs occamy-1.0
- GLM-5.3 vs Qwen3-Coder-Next
- gpt-oss-120b vs occamy-1.0
- gpt-oss-120b vs Qwen3-Coder-Next
- gpt-oss-20b vs occamy-1.0
- gpt-oss-20b vs Qwen3-Coder-Next
- Granite 4.2 3B vs occamy-1.0
- Granite 4.2 3B vs Qwen3-Coder-Next
- Hy3 vs occamy-1.0
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- Inkling-Small vs occamy-1.0
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- Inkling vs occamy-1.0
- Inkling vs Qwen3-Coder-Next
- InternVL3.5-GPT-OSS-20B-A4B-Preview vs occamy-1.0
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- Kimi K3 vs occamy-1.0
- Kimi K3 vs Qwen3-Coder-Next
- Kolibri-1 vs occamy-1.0
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- Laguna M.1 vs occamy-1.0
- Laguna M.1 vs Qwen3-Coder-Next
- Laguna S 2.1 vs occamy-1.0
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- LFM2.5-2.6B vs occamy-1.0
- LFM2.5-2.6B vs Qwen3-Coder-Next
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- MiniCPM-o 4.5 vs occamy-1.0
- MiniCPM-o 4.5 vs Qwen3-Coder-Next
- MiniCPM5-2B vs occamy-1.0
- MiniCPM5-2B vs Qwen3-Coder-Next
- MiniMax-M2.5 vs occamy-1.0
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- MiniMax-M2.7 vs occamy-1.0
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- Muse Glimmer 30B vs occamy-1.0
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- Nemotron 3 Nano 30B A3B vs occamy-1.0
- Nemotron 3 Nano 30B A3B vs Qwen3-Coder-Next
- Nemotron 3 Nano 4B vs occamy-1.0
- Nemotron 3 Nano 4B vs Qwen3-Coder-Next
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- Nemotron 3 Nano Omni 30B A3B Reasoning vs Qwen3-Coder-Next
- Nemotron 3 Super 120B A12B vs occamy-1.0
- Nemotron 3 Super 120B A12B vs Qwen3-Coder-Next
- Nemotron 3 Ultra 550B A55B vs occamy-1.0
- Nemotron 3 Ultra 550B A55B vs Qwen3-Coder-Next
- occamy-1.0 vs Olmo 3 7B Think
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- 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
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- occamy-1.0 vs Qwen3.8-Flash-Next
- occamy-1.0 vs Qwen3-Coder-30B-A3B-Instruct
- 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 Qwen3-VL-8B-Instruct
- occamy-1.0 vs Qwopus3.8-27B-Flash-V2
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- occamy-1.0 vs Swift 1.5 Qwen3.8-Flash-Next
- occamy-1.0 vs ThinkingCap (Qwen3.8 27B)
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- Ornith-1.5-35B-A3B vs Qwen3-Coder-Next
- Ornith-1.5-397B vs Qwen3-Coder-Next
- Ornith-1.5-9B vs Qwen3-Coder-Next
- Qwen3-30B-A3B-Instruct-2507 vs Qwen3-Coder-Next
- Qwen3-4B-Instruct-2507 vs Qwen3-Coder-Next
- Qwen3.5-0.8B vs Qwen3-Coder-Next
- Qwen3.5-122B-A10B vs Qwen3-Coder-Next
- Qwen3.5-2B vs Qwen3-Coder-Next
- Qwen3.5-397B-A17B vs Qwen3-Coder-Next
- Qwen3.5-4B vs Qwen3-Coder-Next
- Qwen3.5-9B vs Qwen3-Coder-Next
- Qwen3.6-27B vs Qwen3-Coder-Next
- Qwen3.6-35B-A3B vs Qwen3-Coder-Next
- Qwen3.8-27B vs Qwen3-Coder-Next
- Qwen3.8-Flash-Next vs Qwen3-Coder-Next
- Qwen3-Coder-30B-A3B-Instruct vs Qwen3-Coder-Next
- Qwen3-Coder-Next vs Qwen3-Omni-30B-A3B-Instruct
- Qwen3-Coder-Next vs Qwen3-VL-2B-Instruct
- Qwen3-Coder-Next vs Qwen3-VL-30B-A3B-Instruct
- Qwen3-Coder-Next vs Qwen3-VL-32B-Instruct
- Qwen3-Coder-Next vs Qwen3-VL-4B-Instruct
- Qwen3-Coder-Next vs Qwen3-VL-8B-Instruct
- Qwen3-Coder-Next vs Qwopus3.8-27B-Flash-V2
- Qwen3-Coder-Next vs SmolLM3-3B
- Qwen3-Coder-Next vs Spark-X2.6-4B
- Qwen3-Coder-Next vs Swift 1.5 Qwen3.8-27B
- Qwen3-Coder-Next vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3-Coder-Next vs ThinkingCap (Qwen3.8 27B)
Machine-readable
- This page as Markdown
/compare/occamy-1-0-vs-qwen3-coder-next.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-coder-next.json - From a terminal
anchor compare occamy-1-0 qwen3-coder-next(the CLI) - Over MCP
compare_tools {"a": "occamy-1-0", "b": "qwen3-coder-next"}at/mcp, no key