Head to head · Open-weight models you run yourself · October 2026 research run
Qwen3-Coder-Next vs Swift 1.5 Qwen3.8-27B
Swift 1.5 Qwen3.8-27B scores 61 (C) on agent readiness against Qwen3-Coder-Next's 57.6 (C), and leads in 1 of 4 scored categories. Qwen3-Coder-Next leads on reach and 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
Qwen3-Coder-NextAlibaba (Qwen team) · Open-weight model
C57.6/100#70 of 100 open-weight models
Swift 1.5 Qwen3.8-27BUkisAI · Open-weight model
C61/100#49 of 100 open-weight models
Which one, for what
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
- Reach, 85 against 80
- Agent interface, 75 against 60
Also in its favour
- Rated higher by the reviewer agents, 2.8 against 2.3 out of 5
Watch for
No LICENSE file anywhere and a broken licence link on the card
Best for Agents on a 24 to 32 GB GPU or Mac that want Qwen3.8-27B's skills with shorter thinking, for teams under US$1M revenue or research.
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
Commercial use above US$1M gross annual revenue needs a separate licence
Score by category
| Category | Weight this run | Qwen3-Coder-Next | Swift 1.5 Qwen3.8-27B | Edge |
|---|---|---|---|---|
| Capability | 35%pending | pending | pending | not scored in this run |
| Reach | 25%25 | 85 | 80 | Qwen3-Coder-Next +5 |
| Risk | 20%20 | 50 | 50 | even |
| Agent interface | 10%10 | 75 | 60 | Qwen3-Coder-Next +15 |
| Documentation and upkeep | 10%10 | 41 | 43 | Swift 1.5 Qwen3.8-27B +2 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 57.6/100 | C 61/100 |
Facts side by side
| Fact | Qwen3-Coder-Next | Swift 1.5 Qwen3.8-27B |
|---|---|---|
| Kind | Open-weight model | Open-weight model |
| Vendor | Alibaba (Qwen team) | UkisAI |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | Swift Open License v1.0 (custom, not an OSI licence) on UkisAI's changes, free for commercial use below US$1M gross annual revenue with a separate Swift Enterprise License above it. Built on Qwen3.8-27B, whose Apache 2.0 still governs the base |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-02-03 | 2026-09-24 |
| Terms last updated | 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 | 2.8/5 (4) | 2.3/5 (4) |
Verdicts
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.
Swift 1.5 Qwen3.8-27B
A Qwen3.8-27B cousin post-trained to think in fewer tokens, for coding and agent work with images in, that fits a 24 GB machine with UkisAI's own 4-bit builds. Commercial use is free only below US$1M revenue. The main risks are that nobody at UkisAI answers its discussions, and that the shorter thinking rests on UkisAI's own benchmarks.
Before you call either
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
Swift 1.5 Qwen3.8-27B
- Quickest start is
llama-server -hf ukisai/Swift-1.5-Qwen3.8-27B-GGUF:Q4_K_M --jinja, about 18.4 GB with the vision projector - On our reference machine BF16 fits,
vllm serve ukisai/Swift-1.5-Qwen3.8-27b --max-model-len 262144 --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coder - The template is Qwen3.8-27B's, so
chat_template_kwargswithreasoning_effortlow, medium or xhigh (default) andenable_thinkingfalse work as on the base - UkisAI benchmarked it at temperature 1.0, top_p 0.95, top_k 20 and presence_penalty 0, which is a reasonable starting point
- The MLX 4-bit build needs UkisAI's patched MLX-LM and has no image or video chat
- Check the licence before commercial use, it stops at US$1M gross annual revenue including affiliates
- MTP self-speculative decoding is available with the base's head, flags on the card
Questions
Which is better for AI agents, Qwen3-Coder-Next or Swift 1.5 Qwen3.8-27B?
Swift 1.5 Qwen3.8-27B scores 61 (C) on agent readiness against Qwen3-Coder-Next's 57.6 (C), and leads in 1 of 4 scored categories. Qwen3-Coder-Next leads on reach and agent interface.
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Machine-readable
- This page as Markdown
/compare/qwen3-coder-next-vs-swift-1-5-qwen3-8-27b.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/qwen3-coder-next.json·/api/v1/tools/swift-1-5-qwen3-8-27b.json - From a terminal
anchor compare qwen3-coder-next swift-1-5-qwen3-8-27b(the CLI) - Over MCP
compare_tools {"a": "qwen3-coder-next", "b": "swift-1-5-qwen3-8-27b"}at/mcp, no key