Head to head · Open-weight models you run yourself · October 2026 research run
Inkling 2 Small vs Swift 1.5 Qwen3.8-Flash-Next
Inkling 2 Small scores 58.8 (C) on agent readiness against Swift 1.5 Qwen3.8-Flash-Next's 54.2 (C), and leads in 3 of 4 scored categories. Swift 1.5 Qwen3.8-Flash-Next leads on reach. Both do open-weight models you run yourself.
Best open-weight models you download and run yourself for AI agents · All 6472 open weights comparisons
Which one, for what
Best for Teams with 512 GB or more of datacentre GPU memory who want Thinking Machines' newest open multimodal agent model and can run a runtime's pre-release image.
Ahead on
- Risk, 65 against 45
- Agent interface, 85 against 60
- Documentation and upkeep, 67 against 40
Watch for
The smaller checkpoint needs about 472 GB, and Thinking Machines says 500 GB of GPU memory
Swift 1.5 Qwen3.8-Flash-Next C
Best for Teams under US$1M revenue, or researchers, with an 8-GPU node who want Qwen3.8-Flash-Next with shorter thinking for coding and agent work.
Ahead on
- Reach, 65 against 40
Watch for
Two licences to satisfy, UkisAI's US$1M revenue limit and Qwen's separate licence for model-as-a-service businesses
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.
Documentation and upkeep Inkling 2 Small +27
Inkling 2 Small 67
Model card 17 of 20, everything but a dated knowledge cut-off. Training data 15, an EU training-content summary with sources, mix, an October 2026 collection cut-off and filtering. Last change 20, the files were uploaded on 12 November 2026. Responsiveness 0, the repository has no questions yet, which reads as none answered. Version policy 5, a first release. File health 10, the files agree and no broken-file report waits. 17 + 15 + 20 + 0 + 5 + 10 = 67.
Swift 1.5 Qwen3.8-Flash-Next 40
Model card 5 of 20, intended use and context only. Training data 5, a general description with no cut-off. Last change 20, UkisAI added an IQ3_S tier to its GSQ-RCO GGUF build on 7 October 2026, 28 days before this check; the main repository's only commit is the 24 September release. Responsiveness 0, UkisAI answered none of 3 discussions. Version policy 5, a first release, renamed without a note. File health 5, the re-serialised tokenizer splits text differently from the repository's own tokenizer config and the base. 5 + 5 + 20 + 0 + 5 + 5 = 40.
Reach Swift 1.5 Qwen3.8-Flash-Next +25
Inkling 2 Small 40
Memory 0 of 30, the smallest build is Thinking Machines' NVFP4 checkpoint at 393.5 GB, about 472 GB with a fifth added, above the 256 GB line. Runtimes 0, no released version of the six runs it; vLLM and SGLang serve it from their own images and Transformers has it on its main branch only. Builds 15, two precisions from the publisher (NVFP4 and MXFP8). Terms 10, Apache 2.0 with a binding acceptable use policy on top, read as a custom licence. Download 10, no gate. Hosted 5, Thinking Machines' own Tinker serves it as beta serverless inference, and Together is live on Hugging Face. 0 + 0 + 15 + 10 + 10 + 5 = 40.
Swift 1.5 Qwen3.8-Flash-Next 65
Memory 5 of 30, the smallest 4-bit build is UkisAI's IQ4_XS GGUF at 98.6 GB with the vision projector, 118.3 GB with a fifth, above the reference machine's GPU share and within 256 GB. Runtimes 25, the architecture is Qwen3.8-Flash-Next's (qwen4_exp), which released llama.cpp, vLLM, SGLang and Transformers run, and Ollama runs it through its pinned llama.cpp (b11963 in v0.40.14), this run's reading for Ollama. Builds 15, GGUF, INT4 and NVFP4 builds from UkisAI. Terms 10, two custom licences that allow commercial use within limits. Download 10, not gated. Hosted 0, no provider serves it, and UkisAI's research API on the card couldn't be shown to serve it, since robots.txt disallows calling it. 5 + 25 + 15 + 10 + 10 + 0 = 65.
Agent interface Inkling 2 Small +25
Inkling 2 Small 85
Chat template 20, a Jinja file in the repository. Tool-calling format 25, Thinking Machines' tml-renderers guide shows how tools are declared and how calls come back for this model, and its package ships the parser. Trained tool calling 20, several calls in one turn. Structured output 0, not documented. Reasoning control 10, thinking effort is set per request from none to xhigh, and the reasoning comes back in reasoning_content. Context 10, up to 1M tokens. 20 + 25 + 20 + 0 + 10 + 10 = 85.
Swift 1.5 Qwen3.8-Flash-Next 60
Chat template 20, the base's Jinja file. Tool-calling format 10 of 25, the format is only in the template and the card's two commands name different parsers. Trained tool calling 20, several calls a turn and agentic post-training. Structured output 0, not documented. Reasoning control 0, the card shows how to set reasoning_effort but not how to turn thinking off or where the reasoning comes back. Context 10, 262,144 tokens native.
Risk Inkling 2 Small +20
Inkling 2 Small 65
File safety 25, safetensors only and no repository code to run. Provenance 15, the files are in the organisation Thinking Machines links to, with a SHA-256 on every LFS file. Safety evaluation 10, Thinking Machines' own StrongREJECT, FORTRESS, HoneyBench and DistressBench results and described outside red-teaming, but nothing an outside party published or a harness to rerun. Agent guidance 5, the card names safeguards to add but doesn't say what its refusals cover, with nothing on prompt injection. Licence risk 5, 10 off for a use policy that reaches beyond the law and that can change at any time. Security programme 5, a security.txt and a disclosure policy, with public advisories unchecked and scored as absent. 25 + 15 + 10 + 5 + 5 + 5 = 65.
Swift 1.5 Qwen3.8-Flash-Next 45
File safety 25, safetensors only and no code in the repository, though the card's vLLM command passes trust-remote-code. Provenance 15, the files are in the account UkisAI's site links to, with a checksum on every file. Safety evaluation 0, none published. Agent guidance 0, nothing on prompt injection, refusals or safeguards. Licence risk 5, read across the chain, Qwen's field-of-use limit and the revenue and user thresholds of both licences. Security programme 0, no way to report a flaw was found.
Score by category
| Category | Weight this run | Inkling 2 Small | Swift 1.5 Qwen3.8-Flash-Next | Edge |
|---|---|---|---|---|
| Capability | 35%pending | pending | pending | not scored in this run |
| Reach | 25%25 | 40 | 65 | Swift 1.5 Qwen3.8-Flash-Next +25 |
| Risk | 20%20 | 65 | 45 | Inkling 2 Small +20 |
| Agent interface | 10%10 | 85 | 60 | Inkling 2 Small +25 |
| Documentation and upkeep | 10%10 | 67 | 40 | Inkling 2 Small +27 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 58.8/100 | C 54.2/100 |
Facts side by side
| Fact | Inkling 2 Small | Swift 1.5 Qwen3.8-Flash-Next |
|---|---|---|
| Kind | Open-weight model | Open-weight model |
| Vendor | Thinking Machines Lab | 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, plus the Qwen Community License 1.0 on the base, which needs a separate licence from Qwen for a Model as a Service or AI Work Assistant business and the model name shown above 100M monthly users or US$20M monthly revenue |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-11-12 | 2026-09-24 |
| Terms last updated | no document linked | no date given |
| Privacy policy last updated | no document linked | no document linked |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 1.8/5 (4) |
How the scores have moved
Verdicts
Inkling 2 Small
Thinking Machines' newest open model, a 594B mixture-of-experts generalist with images in, several tool calls a turn and per-request thinking effort. The NVFP4 checkpoint needs about 472 GB, and no released runtime runs it yet, so today that means vLLM's or SGLang's own images, or Tinker and Together hosted. The use policy binds on download and can change.
Swift 1.5 Qwen3.8-Flash-Next
A mixture-of-experts vision-language model, Qwen3.8-Flash-Next post-trained to think in fewer tokens, for coding and long agent sessions on a multi-GPU server. Its smallest 4-bit build needs about 118 GB, so it fits our reference machine only at 3-bit. The main risks are a re-serialised tokenizer that differs from the base's and no answers from UkisAI.
Before you call either
Inkling 2 Small
- No released runtime runs it yet. Serve the NVFP4 checkpoint from SGLang's dev-inkling-2-small image with the cookbook's recipe for your hardware, or from vLLM's vllm/vllm-openai:inkling-2-small image
- In vLLM pass
--reasoning-parser inkling --enable-auto-tool-choice --tool-call-parser inkling. In SGLang the tool-call parser isinkling2and the reasoning parserinkling - Transformers' main branch loads only thinkingmachines/Inkling-2-Small-MXFP8, the 622.8 GB checkpoint, and no release has the code yet
- Pass
reasoning_effortas none, minimal, low, medium, high (the default), xhigh or max, or a number from 0 to 0.99 - Effort none conditions the model toward no reasoning but doesn't forbid it, and higher effort needs a larger max_tokens
- Tool call arguments must reach the template as an object, not a JSON string, or it raises an error
- Images should be 40 to 4096 px a side. The model takes no audio, and the template raises an error for an audio part
- Use guided decoding or validate JSON yourself, since structured output isn't documented
- Without the hardware, call it on Tinker's OpenAI-compatible endpoint with a Tinker key, at $0.30 input and $1.00 output per million tokens as read on 6 November 2026
- Read the Model Acceptable Use Policy before deploying, it binds on download and bars some uses that are legal
Swift 1.5 Qwen3.8-Flash-Next
- On a multi-GPU node use
vllm serve ukisai/Swift1.5-Qwen3.8-Flash-Next --tensor-parallel-size 8 --max-model-len 262144 --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coder, the parser the base's recipes and the card's SGLang command use - The card's vLLM command passes --trust-remote-code and the old repository name, neither is needed
- On our reference machine only UkisAI's GSQ-RCO IQ3_S GGUF (84.7 GB with the projector) fits, below 4-bit
- Set reasoning effort per request with
chat_template_kwargsreasoning_effortxhigh (default), medium or low. UkisAI's own runs lose about 2.5 points at medium and low - If text with combining marks matters, compare tokenisation against the base's tokenizer.json before trusting outputs
- Check both licences before commercial use, UkisAI's stops at US$1M gross annual revenue and Qwen's needs a separate licence for model-as-a-service businesses
Questions
Which is better for AI agents, Inkling 2 Small or Swift 1.5 Qwen3.8-Flash-Next?
Inkling 2 Small scores 58.8 (C) on agent readiness against Swift 1.5 Qwen3.8-Flash-Next's 54.2 (C), and leads in 3 of 4 scored categories. Swift 1.5 Qwen3.8-Flash-Next leads on reach.
Other comparisons with Inkling 2 Small or Swift 1.5 Qwen3.8-Flash-Next
- Agents-A1-4B vs Inkling 2 Small
- Agents-A1-4B vs Swift 1.5 Qwen3.8-Flash-Next
- Apertus v1.5 8B vs Inkling 2 Small
- Apertus v1.5 8B vs Swift 1.5 Qwen3.8-Flash-Next
- Apodex-1.1-mini vs Inkling 2 Small
- Apodex-1.1-mini vs Swift 1.5 Qwen3.8-Flash-Next
- Arete-27B vs Inkling 2 Small
- Arete-27B vs Swift 1.5 Qwen3.8-Flash-Next
- BigBang-v1 vs Inkling 2 Small
- BigBang-v1 vs Swift 1.5 Qwen3.8-Flash-Next
- Carbon-X vs Inkling 2 Small
- Carbon-X vs Swift 1.5 Qwen3.8-Flash-Next
- Cola2 vs Inkling 2 Small
- Cola2 vs Swift 1.5 Qwen3.8-Flash-Next
- Cosmos-Reason2-2B vs Inkling 2 Small
- Cosmos-Reason2-2B vs Swift 1.5 Qwen3.8-Flash-Next
- Darwin-36B-Opus vs Inkling 2 Small
- Darwin-36B-Opus vs Swift 1.5 Qwen3.8-Flash-Next
- DeepSeek-V3.2 vs Inkling 2 Small
- DeepSeek-V3.2 vs Swift 1.5 Qwen3.8-Flash-Next
- DeepSeek V4.1 Flash vs Inkling 2 Small
- DeepSeek V4.1 Flash vs Swift 1.5 Qwen3.8-Flash-Next
- DeepSeek-V4-Flash-0731 vs Inkling 2 Small
- DeepSeek-V4-Flash-0731 vs Swift 1.5 Qwen3.8-Flash-Next
- Devstral Small 2 vs Inkling 2 Small
- Devstral Small 2 vs Swift 1.5 Qwen3.8-Flash-Next
- DiffusionGemma 26B A4B IT vs Inkling 2 Small
- DiffusionGemma 26B A4B IT vs Swift 1.5 Qwen3.8-Flash-Next
- EXAONE 4.5 33B vs Inkling 2 Small
- EXAONE 4.5 33B vs Swift 1.5 Qwen3.8-Flash-Next
- Gemma 4 12B IT vs Inkling 2 Small
- Gemma 4 12B IT vs Swift 1.5 Qwen3.8-Flash-Next
- Gemma 4 26B A4B IT vs Inkling 2 Small
- Gemma 4 26B A4B IT vs Swift 1.5 Qwen3.8-Flash-Next
- Gemma 4 31B IT vs Inkling 2 Small
- Gemma 4 31B IT vs Swift 1.5 Qwen3.8-Flash-Next
- Gemma 4 E2B IT vs Inkling 2 Small
- Gemma 4 E2B IT vs Swift 1.5 Qwen3.8-Flash-Next
- Gemma 4 E4B IT vs Inkling 2 Small
- Gemma 4 E4B IT vs Swift 1.5 Qwen3.8-Flash-Next
- GLM-4.5-Air vs Inkling 2 Small
- GLM-4.5-Air vs Swift 1.5 Qwen3.8-Flash-Next
- GLM-4.7-Flash vs Inkling 2 Small
- GLM-4.7-Flash vs Swift 1.5 Qwen3.8-Flash-Next
- GLM-5.3-Flash vs Inkling 2 Small
- GLM-5.3-Flash vs Swift 1.5 Qwen3.8-Flash-Next
- GLM-5.3 vs Inkling 2 Small
- GLM-5.3 vs Swift 1.5 Qwen3.8-Flash-Next
- gpt-oss-120b vs Inkling 2 Small
- gpt-oss-120b vs Swift 1.5 Qwen3.8-Flash-Next
- gpt-oss-20b vs Inkling 2 Small
- gpt-oss-20b vs Swift 1.5 Qwen3.8-Flash-Next
- Granite 4.2 30B vs Inkling 2 Small
- Granite 4.2 30B vs Swift 1.5 Qwen3.8-Flash-Next
- Granite 4.2 3B vs Inkling 2 Small
- Granite 4.2 3B vs Swift 1.5 Qwen3.8-Flash-Next
- Granite 4.2 8B vs Inkling 2 Small
- Granite 4.2 8B vs Swift 1.5 Qwen3.8-Flash-Next
- Hy-Memory-30B-A3B vs Inkling 2 Small
- Hy-Memory-30B-A3B vs Swift 1.5 Qwen3.8-Flash-Next
- Hy3 vs Inkling 2 Small
- Hy3 vs Swift 1.5 Qwen3.8-Flash-Next
- Inkling 2 Small vs Inkling-Small
- Inkling 2 Small vs InternVL3.5-GPT-OSS-20B-A4B-Preview
- Inkling 2 Small vs Kimi K3
- Inkling 2 Small vs Kimi K3.1 Pro
- Inkling 2 Small vs Kolibri-1
- Inkling 2 Small vs Kronos
- Inkling 2 Small vs Laguna M.1
- Inkling 2 Small vs Laguna S 2.1
- Inkling 2 Small vs Laguna XS 2.1
- Inkling 2 Small vs LBS-27B
- Inkling 2 Small vs LFM2.5-2.6B
- Inkling 2 Small vs LFM3-1.7B
- Inkling 2 Small vs LFM3-Audio-2B
- Inkling 2 Small vs LFM3-Omni-2B
- Inkling 2 Small vs LFM3-VL-2B
- Inkling 2 Small vs Ling-3.0-tiny
- Inkling 2 Small vs Ling-3.1-flash-1019
- Inkling 2 Small vs LongCat-2.5
- Inkling 2 Small vs MiMo-V2.6 Distill Qwen 9B
- Inkling 2 Small vs MiMo-V2.6-Flash-RL
- Inkling 2 Small vs MiniCPM-o 4.5
- Inkling 2 Small vs MiniCPM-V 4.7 1B
- Inkling 2 Small vs MiniCPM-V 4.7 35B-A3B
- Inkling 2 Small vs MiniCPM5-2B
- Inkling 2 Small vs MiniMax-M2.5
- Inkling 2 Small vs MiniMax-M2.7
- Inkling 2 Small vs MiniMax-M3.1-Flash
- Inkling 2 Small vs Mistral Large 4
- Inkling 2 Small vs Muse Glimmer 30B
- Inkling 2 Small vs Nanbeige4.2-3B
- Inkling 2 Small vs Nanbeige4.3-33B
- Inkling 2 Small vs NVIDIA Nemotron 3.5 Bolt E4B 4GB
- Inkling 2 Small vs Nemotron 3.5 Lightning 30B A3B
- Inkling 2 Small vs Nemotron 3 Nano 30B A3B
- Inkling 2 Small vs Nemotron 3 Nano 4B
- Inkling 2 Small vs Nemotron 3 Nano Omni 30B A3B Reasoning
- Inkling 2 Small vs Nemotron 3 Super 120B A12B
- Inkling 2 Small vs Nemotron 3 Ultra 550B A55B
- Inkling 2 Small vs North Mini Code 1.0
- Inkling 2 Small vs occamy-1.0
- Inkling 2 Small vs Olmo 3 7B Think
- Inkling 2 Small vs Ornith-1.5-122B
- Inkling 2 Small vs Ornith-1.5-35B-A3B
- Inkling 2 Small vs Ornith-1.5-397B
- Inkling 2 Small vs Ornith-1.5-9B
- Inkling 2 Small vs OTel-2.0-LLM-31B-IT
- Inkling 2 Small vs Qwen-AgentWorld-35B-A3B
- Inkling 2 Small vs Qwen3-30B-A3B-Instruct-2507
- Inkling 2 Small vs Qwen3-4B-Instruct-2507
- Inkling 2 Small vs Qwen3.5-0.8B
- Inkling 2 Small vs Qwen3.5-122B-A10B
- Inkling 2 Small vs Qwen3.5-2B
- Inkling 2 Small vs Qwen3.5-397B-A17B
- Inkling 2 Small vs Qwen3.5-4B
- Inkling 2 Small vs Qwen3.5-9B
- Inkling 2 Small vs Qwen3.6-27B
- Inkling 2 Small vs Qwen3.6-35B-A3B
- Inkling 2 Small vs Qwen3.8-27B
- Inkling 2 Small vs Qwen3.8-Flash-Next
- Inkling 2 Small vs Qwen3-Coder-30B-A3B-Instruct
- Inkling 2 Small vs Qwen3-Coder-Next
- Inkling 2 Small vs Qwen3-Omni-30B-A3B-Instruct
- Inkling 2 Small vs Qwen3-VL-2B-Instruct
- Inkling 2 Small vs Qwen3-VL-30B-A3B-Instruct
- Inkling 2 Small vs Qwen3-VL-32B-Instruct
- Inkling 2 Small vs Qwen3-VL-4B-Instruct
- Inkling 2 Small vs Qwen3-VL-8B-Instruct
- Inkling 2 Small vs Qwopus3.8-27B-Flash-V2
- Inkling 2 Small vs Recursive Flint
- Inkling 2 Small vs Ripple-65B Preview
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- Inkling 2 Small vs SmolLM3-3B
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- Inkling 2 Small vs ThinkingCap (Qwen3.8 27B)
- Inkling 2 Small vs Baidu Unlimited-OCR-2
- Inkling 2 Small vs WeVisOne-VL-2B
- Inkling 2 Small vs WeVisOne-VL-4B
- Inkling 2 Small vs ZAYA1-8B
- Inkling-Small vs Swift 1.5 Qwen3.8-Flash-Next
- Inkling vs Inkling 2 Small
- Inkling vs Swift 1.5 Qwen3.8-Flash-Next
- InternVL3.5-GPT-OSS-20B-A4B-Preview vs Swift 1.5 Qwen3.8-Flash-Next
- Kimi K3.1 Pro vs Swift 1.5 Qwen3.8-Flash-Next
- Kimi K3 vs Swift 1.5 Qwen3.8-Flash-Next
- Kolibri-1 vs Swift 1.5 Qwen3.8-Flash-Next
- Kronos vs Swift 1.5 Qwen3.8-Flash-Next
- Laguna M.1 vs Swift 1.5 Qwen3.8-Flash-Next
- Laguna S 2.1 vs Swift 1.5 Qwen3.8-Flash-Next
- Laguna XS 2.1 vs Swift 1.5 Qwen3.8-Flash-Next
- LBS-27B vs Swift 1.5 Qwen3.8-Flash-Next
- LFM2.5-2.6B vs Swift 1.5 Qwen3.8-Flash-Next
- LFM3-1.7B vs Swift 1.5 Qwen3.8-Flash-Next
- LFM3-Audio-2B vs Swift 1.5 Qwen3.8-Flash-Next
- LFM3-Omni-2B vs Swift 1.5 Qwen3.8-Flash-Next
- LFM3-VL-2B vs Swift 1.5 Qwen3.8-Flash-Next
- Ling-3.0-tiny vs Swift 1.5 Qwen3.8-Flash-Next
- Ling-3.1-flash-1019 vs Swift 1.5 Qwen3.8-Flash-Next
- LongCat-2.5 vs Swift 1.5 Qwen3.8-Flash-Next
- MiMo-V2.6 Distill Qwen 9B vs Swift 1.5 Qwen3.8-Flash-Next
- MiMo-V2.6-Flash-RL vs Swift 1.5 Qwen3.8-Flash-Next
- MiniCPM-o 4.5 vs Swift 1.5 Qwen3.8-Flash-Next
- MiniCPM-V 4.7 1B vs Swift 1.5 Qwen3.8-Flash-Next
- MiniCPM-V 4.7 35B-A3B vs Swift 1.5 Qwen3.8-Flash-Next
- MiniCPM5-2B vs Swift 1.5 Qwen3.8-Flash-Next
- MiniMax-M2.5 vs Swift 1.5 Qwen3.8-Flash-Next
- MiniMax-M2.7 vs Swift 1.5 Qwen3.8-Flash-Next
- MiniMax-M3.1-Flash vs Swift 1.5 Qwen3.8-Flash-Next
- Mistral Large 4 vs Swift 1.5 Qwen3.8-Flash-Next
- Muse Glimmer 30B vs Swift 1.5 Qwen3.8-Flash-Next
- Nanbeige4.2-3B vs Swift 1.5 Qwen3.8-Flash-Next
- Nanbeige4.3-33B vs Swift 1.5 Qwen3.8-Flash-Next
- NVIDIA Nemotron 3.5 Bolt E4B 4GB vs Swift 1.5 Qwen3.8-Flash-Next
- Nemotron 3.5 Lightning 30B A3B vs Swift 1.5 Qwen3.8-Flash-Next
- Nemotron 3 Nano 30B A3B vs Swift 1.5 Qwen3.8-Flash-Next
- Nemotron 3 Nano 4B vs Swift 1.5 Qwen3.8-Flash-Next
- Nemotron 3 Nano Omni 30B A3B Reasoning vs Swift 1.5 Qwen3.8-Flash-Next
- Nemotron 3 Super 120B A12B vs Swift 1.5 Qwen3.8-Flash-Next
- Nemotron 3 Ultra 550B A55B vs Swift 1.5 Qwen3.8-Flash-Next
- North Mini Code 1.0 vs Swift 1.5 Qwen3.8-Flash-Next
- occamy-1.0 vs Swift 1.5 Qwen3.8-Flash-Next
- Olmo 3 7B Think vs Swift 1.5 Qwen3.8-Flash-Next
- Ornith-1.5-122B vs Swift 1.5 Qwen3.8-Flash-Next
- Ornith-1.5-35B-A3B vs Swift 1.5 Qwen3.8-Flash-Next
- Ornith-1.5-397B vs Swift 1.5 Qwen3.8-Flash-Next
- Ornith-1.5-9B vs Swift 1.5 Qwen3.8-Flash-Next
- OTel-2.0-LLM-31B-IT vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen-AgentWorld-35B-A3B vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3-30B-A3B-Instruct-2507 vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3-4B-Instruct-2507 vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3.5-0.8B vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3.5-122B-A10B vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3.5-2B vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3.5-397B-A17B vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3.5-4B vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3.5-9B vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3.6-27B vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3.6-35B-A3B vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3.8-27B vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3.8-Flash-Next vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3-Coder-30B-A3B-Instruct vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3-Coder-Next vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3-Omni-30B-A3B-Instruct vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3-VL-2B-Instruct vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3-VL-30B-A3B-Instruct vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3-VL-32B-Instruct vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3-VL-4B-Instruct vs Swift 1.5 Qwen3.8-Flash-Next
- Qwen3-VL-8B-Instruct vs Swift 1.5 Qwen3.8-Flash-Next
- Qwopus3.8-27B-Flash-V2 vs Swift 1.5 Qwen3.8-Flash-Next
- Recursive Flint vs Swift 1.5 Qwen3.8-Flash-Next
- Ripple-65B Preview vs Swift 1.5 Qwen3.8-Flash-Next
- SenseNova-Loop-9B-Preview vs Swift 1.5 Qwen3.8-Flash-Next
- SmolLM3-3B vs Swift 1.5 Qwen3.8-Flash-Next
- Spark-X2.6-4B vs Swift 1.5 Qwen3.8-Flash-Next
- Step 3.7 Flash vs Swift 1.5 Qwen3.8-Flash-Next
- Swift 1.5 Qwen3.8-27B vs Swift 1.5 Qwen3.8-Flash-Next
- Swift 1.5 Qwen3.8-Flash-Next vs ThinkingCap (Qwen3.8 27B)
- Swift 1.5 Qwen3.8-Flash-Next vs Baidu Unlimited-OCR-2
- Swift 1.5 Qwen3.8-Flash-Next vs WeVisOne-VL-2B
- Swift 1.5 Qwen3.8-Flash-Next vs WeVisOne-VL-4B
- Swift 1.5 Qwen3.8-Flash-Next vs ZAYA1-8B
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/compare/inkling-2-small-vs-swift-1-5-qwen3-8-flash-next.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/inkling-2-small.json·/api/v1/tools/swift-1-5-qwen3-8-flash-next.json - From a terminal
anchor compare inkling-2-small swift-1-5-qwen3-8-flash-next(the CLI) - Over MCP
compare_tools {"a": "inkling-2-small", "b": "swift-1-5-qwen3-8-flash-next"}at/mcp, no key