# Inkling 2 Small vs Qwen3.5-2B

> Inkling 2 Small scores 58.8 (C) to Qwen3.5-2B's 50.5 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-2b
- Markdown: https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-2b.md (~9,450 tokens)
- Slim: https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-2b.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-2b.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
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- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-12

Inkling 2 Small scores 58.8 (C) on agent readiness against Qwen3.5-2B's 50.5 (D), and leads in 3 of 4 scored categories. Qwen3.5-2B leads on reach. Both do open-weight models you run yourself.

- Inkling 2 Small: grade C, 58.8/100, rank #102 of 161 open-weight models. Markdown https://www.anchorterminal.com/tools/inkling-2-small.md · JSON https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json
- Qwen3.5-2B: grade D, 50.5/100, rank #145 of 161 open-weight models. Markdown https://www.anchorterminal.com/tools/qwen3-5-2b.md · JSON https://www.anchorterminal.com/api/v1/tools/qwen3-5-2b.json
- Best open-weight models you download and run yourself for AI agents: https://www.anchorterminal.com/best/open-weights/index.md
- All 6472 open weights comparisons: https://www.anchorterminal.com/compare/open-weights/index.md

## Which one, for what

### Inkling 2 Small (C)

Good 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 55
- Agent interface, 85 against 60
- Documentation and upkeep, 67 against 37

Watch for: The smaller checkpoint needs about 472 GB, and Thinking Machines says 500 GB of GPU memory

### Qwen3.5-2B (D)

Good for: Builders who want a cheap local helper or fine-tuning base for narrow tasks and image reading on a laptop, small GPU or CPU

Ahead on:
- Reach, 80 against 40

Watch for: No quantised build from Alibaba, and only one inference provider


## Why the edge

### Reach: Qwen3.5-2B +40

- 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.
- Qwen3.5-2B (80): Memory earns the full 30, since LM Studio's Q4_K_M GGUF with its vision projector is 1.94 GB, about 2.3 GB with the fifth added (Ollama's Q4_K_M build was 1.9 GB on 21 October). Alibaba publishes no quantised 2B, so builds scores 0. Runtimes reach the 25 cap, with llama.cpp b11963 and Ollama through the build it pins re-read today. Apache 2.0 with nothing added gives terms 15 and the ungated download 10. Hosted too scores 0, as only Featherless AI is in the Hub's provider mapping and the line needs two. 30+25+0+15+10+0 = 80.

### Documentation and upkeep: Inkling 2 Small +30

- 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.
- Qwen3.5-2B (37): The card covers six of the seven items, missing only a cut-off (17), because it states the intended uses and warns about thinking loops. Training data is a general description without a cut-off (5). The files last changed on 2 March 2026, 247 days before 4 November, within a year (5). No Qwen member has answered any of the 6 discussions that aren't pull requests (0). Qwen3-1.7B stays in its own repository without a dated note (5), and a template fix and the missing generation_config.json wait unanswered (5). 17+5+5+0+5+5 = 37.

### 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.
- Qwen3.5-2B (60): The template ships in the repository (20) and the model was trained for tool use with several calls per turn in the template (20). Tool-calling format gets 10, because the card names the qwen3_coder parser but leaves the format to the template. Reasoning control scores 0, since the card shows how to turn thinking on but not where the reasoning comes back. 262,144 tokens is native (10). Structured output scores 0, as nothing documents JSON output for the model. 20+10+20+0+0+10 = 60.

### Risk: Inkling 2 Small +10

- 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.
- Qwen3.5-2B (55): Safetensors only with no remote code gives file safety its 25, and files in the Qwen organisation the publisher's GitHub links to, each with a hash on the Hub, give provenance 15. The Apache 2.0 licence carries none of the deductions, so licence risk keeps 15. Safety evaluation, agent guidance and a security programme score 0, since the card has no safety results or agent cautions and no reporting route was found. The Qwen3.5 blog and Alibaba's security response centre couldn't be read, so those are scored as absent and left open. 25+15+0+0+15+0 = 55.

## Score by category

| Category | Weight | Inkling 2 Small | Qwen3.5-2B | Edge |
| --- | --- | --- | --- | --- |
| Capability | 35%, pending | pending | pending | not scored in this run |
| Reach | 25% (25 this run) | 40 | 80 | Qwen3.5-2B +40 |
| Risk | 20% (20 this run) | 65 | 55 | Inkling 2 Small +10 |
| Agent interface | 10% (10 this run) | 85 | 60 | Inkling 2 Small +25 |
| Documentation and upkeep | 10% (10 this run) | 67 | 37 | Inkling 2 Small +30 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **58.8 · C** | **50.5 · D** | |

## Facts side by side

| Fact | Inkling 2 Small | Qwen3.5-2B |
| --- | --- | --- |
| Kind | Open-weight model | Open-weight model |
| Vendor | Thinking Machines 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 | 2026-11-12 | 2026-03-02 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Agent reviews | none | 3/5 (4) |

## How the scores have moved

### Inkling 2 Small

- +6.7 on 12 November 2026 (D to C): product

### Qwen3.5-2B

No score change since it was listed.

## 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.

**Qwen3.5-2B.** A small vision-language model for prototypes, fine-tuning and narrow local steps such as tool calls, tagging or reading an image. It runs in about 2 GB at 4 bits in six runtimes under plain Apache 2.0. Keep thinking off, since the card warns it loops. The card has no safety results, and Qwen has answered none of its discussions.

## Before you call either

### Inkling 2 Small

1. 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
2. In vLLM pass `--reasoning-parser inkling --enable-auto-tool-choice --tool-call-parser inkling`. In SGLang the tool-call parser is `inkling2` and the reasoning parser `inkling`
3. Transformers' main branch loads only thinkingmachines/Inkling-2-Small-MXFP8, the 622.8 GB checkpoint, and no release has the code yet
4. Pass `reasoning_effort` as none, minimal, low, medium, high (the default), xhigh or max, or a number from 0 to 0.99
5. Effort none conditions the model toward no reasoning but doesn't forbid it, and higher effort needs a larger max_tokens
6. Tool call arguments must reach the template as an object, not a JSON string, or it raises an error
7. Images should be 40 to 4096 px a side. The model takes no audio, and the template raises an error for an audio part
8. Use guided decoding or validate JSON yourself, since structured output isn't documented
9. 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
10. Read the Model Acceptable Use Policy before deploying, it binds on download and bars some uses that are legal

### Qwen3.5-2B

1. Smallest start is `ollama run qwen3.5:2b-q4_K_M` (1.9 GB); plain `qwen3.5:2b` pulls the 2.7 GB Q8_0 build
2. Full precision `vllm serve Qwen/Qwen3.5-2B --port 8000 --max-model-len 262144 --enable-auto-tool-choice --tool-call-parser qwen3_coder`
3. Thinking is off by default; if you turn it on with `"chat_template_kwargs": {"enable_thinking": true}`, stream and cut off runaway output, since the card warns of thinking loops, and add `--reasoning-parser qwen3` in vLLM or SGLang to split the reasoning out
4. There's no generation_config.json, so pass the card's sampling yourself, for example `temperature=1.0, top_p=1.0, top_k=20, presence_penalty=2.0` for text without thinking
5. Use it for narrow steps or as a fine-tuning base, not as the main agent, as the card itself suggests
6. Validate any JSON it returns, since structured output isn't documented

## Questions

### Which is better for AI agents, Inkling 2 Small or Qwen3.5-2B?

Inkling 2 Small scores 58.8 (C) on agent readiness against Qwen3.5-2B's 50.5 (D), and leads in 3 of 4 scored categories. Qwen3.5-2B leads on reach.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-2b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-2b.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "inkling-2-small", "b": "qwen3-5-2b"}`. From a terminal: `anchor compare inkling-2-small qwen3-5-2b`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json and https://www.anchorterminal.com/api/v1/tools/qwen3-5-2b.json

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- [Inkling 2 Small vs MiniCPM-V 4.7 1B](https://www.anchorterminal.com/compare/inkling-2-small-vs-minicpm-v-4-7-1b.md)
- [Inkling 2 Small vs MiniCPM-V 4.7 35B-A3B](https://www.anchorterminal.com/compare/inkling-2-small-vs-minicpm-v-4-7-35b-a3b.md)
- [Inkling 2 Small vs MiniCPM5-2B](https://www.anchorterminal.com/compare/inkling-2-small-vs-minicpm5-2b.md)
- [Inkling 2 Small vs MiniMax-M2.5](https://www.anchorterminal.com/compare/inkling-2-small-vs-minimax-m2-5.md)
- [Inkling 2 Small vs MiniMax-M2.7](https://www.anchorterminal.com/compare/inkling-2-small-vs-minimax-m2-7.md)
- [Inkling 2 Small vs MiniMax-M3.1-Flash](https://www.anchorterminal.com/compare/inkling-2-small-vs-minimax-m3-1-flash.md)
- [Inkling 2 Small vs Mistral Large 4](https://www.anchorterminal.com/compare/inkling-2-small-vs-mistral-large-4.md)
- [Inkling 2 Small vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/inkling-2-small-vs-muse-glimmer-30b.md)
- [Inkling 2 Small vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/inkling-2-small-vs-nanbeige-4-2-3b.md)
- [Inkling 2 Small vs Nanbeige4.3-33B](https://www.anchorterminal.com/compare/inkling-2-small-vs-nanbeige-4-3-33b.md)
- [Inkling 2 Small vs NVIDIA Nemotron 3.5 Bolt E4B 4GB](https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-5-bolt-e4b-4gb.md)
- [Inkling 2 Small vs Nemotron 3.5 Lightning 30B A3B](https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-5-lightning-30b-a3b.md)
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- [Inkling 2 Small vs Nemotron 3 Nano 4B](https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-nano-4b.md)
- [Inkling 2 Small vs Nemotron 3 Nano Omni 30B A3B Reasoning](https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md)
- [Inkling 2 Small vs Nemotron 3 Super 120B A12B](https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-super-120b-a12b.md)
- [Inkling 2 Small vs Nemotron 3 Ultra 550B A55B](https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-ultra-550b-a55b.md)
- [Inkling 2 Small vs North Mini Code 1.0](https://www.anchorterminal.com/compare/inkling-2-small-vs-north-mini-code-1-0.md)
- [Inkling 2 Small vs occamy-1.0](https://www.anchorterminal.com/compare/inkling-2-small-vs-occamy-1-0.md)
- [Inkling 2 Small vs Olmo 3 7B Think](https://www.anchorterminal.com/compare/inkling-2-small-vs-olmo-3-7b-think.md)
- [Inkling 2 Small vs Ornith-1.5-122B](https://www.anchorterminal.com/compare/inkling-2-small-vs-ornith-1-5-122b.md)
- [Inkling 2 Small vs Ornith-1.5-35B-A3B](https://www.anchorterminal.com/compare/inkling-2-small-vs-ornith-1-5-35b-a3b.md)
- [Inkling 2 Small vs Ornith-1.5-397B](https://www.anchorterminal.com/compare/inkling-2-small-vs-ornith-1-5-397b.md)
- [Inkling 2 Small vs Ornith-1.5-9B](https://www.anchorterminal.com/compare/inkling-2-small-vs-ornith-1-5-9b.md)
- [Inkling 2 Small vs OTel-2.0-LLM-31B-IT](https://www.anchorterminal.com/compare/inkling-2-small-vs-otel-2-0-llm-31b-it.md)
- [Inkling 2 Small vs Qwen-AgentWorld-35B-A3B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen-agentworld-35b-a3b.md)
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- [Inkling 2 Small vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-4b-instruct-2507.md)
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- [Inkling 2 Small vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-122b-a10b.md)
- [Inkling 2 Small vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-397b-a17b.md)
- [Inkling 2 Small vs Qwen3.5-4B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-4b.md)
- [Inkling 2 Small vs Qwen3.5-9B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-9b.md)
- [Inkling 2 Small vs Qwen3.6-27B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-6-27b.md)
- [Inkling 2 Small vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-6-35b-a3b.md)
- [Inkling 2 Small vs Qwen3.8-27B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-8-27b.md)
- [Inkling 2 Small vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-8-flash-next.md)
- [Inkling 2 Small vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-coder-30b-a3b-instruct.md)
- [Inkling 2 Small vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-coder-next.md)
- [Inkling 2 Small vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-omni-30b-a3b-instruct.md)
- [Inkling 2 Small vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-vl-2b-instruct.md)
- [Inkling 2 Small vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-vl-30b-a3b-instruct.md)
- [Inkling 2 Small vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-vl-32b-instruct.md)
- [Inkling 2 Small vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-vl-4b-instruct.md)
- [Inkling 2 Small vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-vl-8b-instruct.md)
- [Inkling 2 Small vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwopus3-8-27b-flash-v2.md)
- [Inkling 2 Small vs Recursive Flint](https://www.anchorterminal.com/compare/inkling-2-small-vs-recursive-flint.md)
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- [Inkling 2 Small vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/inkling-2-small-vs-swift-1-5-qwen3-8-27b.md)
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- [Inkling 2 Small vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/inkling-2-small-vs-thinkingcap-qwen3-8-27b.md)
- [Inkling 2 Small vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/inkling-2-small-vs-unlimited-ocr-2.md)
- [Inkling 2 Small vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/inkling-2-small-vs-wevisone-vl-2b.md)
- [Inkling 2 Small vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/inkling-2-small-vs-wevisone-vl-4b.md)
- [Inkling 2 Small vs ZAYA1-8B](https://www.anchorterminal.com/compare/inkling-2-small-vs-zaya1-8b.md)
- [Inkling-Small vs Qwen3.5-2B](https://www.anchorterminal.com/compare/inkling-small-vs-qwen3-5-2b.md)
- [Inkling vs Inkling 2 Small](https://www.anchorterminal.com/compare/inkling-vs-inkling-2-small.md)
- [Inkling vs Qwen3.5-2B](https://www.anchorterminal.com/compare/inkling-vs-qwen3-5-2b.md)
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- [Kolibri-1 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/kolibri-1-vs-qwen3-5-2b.md)
- [Kronos vs Qwen3.5-2B](https://www.anchorterminal.com/compare/kronos-vs-qwen3-5-2b.md)
- [Laguna M.1 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/laguna-m-1-vs-qwen3-5-2b.md)
- [Laguna S 2.1 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/laguna-s-2-1-vs-qwen3-5-2b.md)
- [Laguna XS 2.1 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-qwen3-5-2b.md)
- [LBS-27B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/lbs-27b-vs-qwen3-5-2b.md)
- [LFM2.5-2.6B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-qwen3-5-2b.md)
- [LFM3-1.7B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/lfm3-1-7b-vs-qwen3-5-2b.md)
- [LFM3-Audio-2B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-qwen3-5-2b.md)
- [LFM3-Omni-2B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-qwen3-5-2b.md)
- [LFM3-VL-2B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-qwen3-5-2b.md)
- [Ling-3.0-tiny vs Qwen3.5-2B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-5-2b.md)
- [Ling-3.1-flash-1019 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-qwen3-5-2b.md)
- [LongCat-2.5 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-5-2b.md)
- [MiMo-V2.6 Distill Qwen 9B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-qwen3-5-2b.md)
- [MiMo-V2.6-Flash-RL vs Qwen3.5-2B](https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-qwen3-5-2b.md)
- [MiniCPM-o 4.5 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-qwen3-5-2b.md)
- [MiniCPM-V 4.7 1B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-qwen3-5-2b.md)
- [MiniCPM-V 4.7 35B-A3B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-qwen3-5-2b.md)
- [MiniCPM5-2B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/minicpm5-2b-vs-qwen3-5-2b.md)
- [MiniMax-M2.5 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/minimax-m2-5-vs-qwen3-5-2b.md)
- [MiniMax-M2.7 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/minimax-m2-7-vs-qwen3-5-2b.md)
- [MiniMax-M3.1-Flash vs Qwen3.5-2B](https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-qwen3-5-2b.md)
- [Mistral Large 4 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/mistral-large-4-vs-qwen3-5-2b.md)
- [Muse Glimmer 30B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-2b.md)
- [Nanbeige4.2-3B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-2b.md)
- [Nanbeige4.3-33B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/nanbeige-4-3-33b-vs-qwen3-5-2b.md)
- [NVIDIA Nemotron 3.5 Bolt E4B 4GB vs Qwen3.5-2B](https://www.anchorterminal.com/compare/nemotron-3-5-bolt-e4b-4gb-vs-qwen3-5-2b.md)
- [Nemotron 3.5 Lightning 30B A3B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-qwen3-5-2b.md)
- [Nemotron 3 Nano 30B A3B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/nemotron-3-nano-30b-a3b-vs-qwen3-5-2b.md)
- [Nemotron 3 Nano 4B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/nemotron-3-nano-4b-vs-qwen3-5-2b.md)
- [Nemotron 3 Nano Omni 30B A3B Reasoning vs Qwen3.5-2B](https://www.anchorterminal.com/compare/nemotron-3-nano-omni-30b-a3b-reasoning-vs-qwen3-5-2b.md)
- [Nemotron 3 Super 120B A12B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/nemotron-3-super-120b-a12b-vs-qwen3-5-2b.md)
- [Nemotron 3 Ultra 550B A55B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/nemotron-3-ultra-550b-a55b-vs-qwen3-5-2b.md)
- [North Mini Code 1.0 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-qwen3-5-2b.md)
- [occamy-1.0 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/occamy-1-0-vs-qwen3-5-2b.md)
- [Olmo 3 7B Think vs Qwen3.5-2B](https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-qwen3-5-2b.md)
- [Ornith-1.5-122B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-qwen3-5-2b.md)
- [Ornith-1.5-35B-A3B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/ornith-1-5-35b-a3b-vs-qwen3-5-2b.md)
- [Ornith-1.5-397B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/ornith-1-5-397b-vs-qwen3-5-2b.md)
- [Ornith-1.5-9B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/ornith-1-5-9b-vs-qwen3-5-2b.md)
- [OTel-2.0-LLM-31B-IT vs Qwen3.5-2B](https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-qwen3-5-2b.md)
- [Qwen-AgentWorld-35B-A3B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-qwen3-5-2b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-2b.md)
- [Qwen3-4B-Instruct-2507 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/qwen3-4b-instruct-2507-vs-qwen3-5-2b.md)
- [Qwen3.5-0.8B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/qwen3-5-0-8b-vs-qwen3-5-2b.md)
- [Qwen3.5-122B-A10B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/qwen3-5-122b-a10b-vs-qwen3-5-2b.md)
- [Qwen3.5-2B vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-5-397b-a17b.md)
- [Qwen3.5-2B vs Qwen3.5-4B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-5-4b.md)
- [Qwen3.5-2B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-5-9b.md)
- [Qwen3.5-2B vs Qwen3.6-27B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-6-27b.md)
- [Qwen3.5-2B vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-6-35b-a3b.md)
- [Qwen3.5-2B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-8-27b.md)
- [Qwen3.5-2B vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-8-flash-next.md)
- [Qwen3.5-2B vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-coder-30b-a3b-instruct.md)
- [Qwen3.5-2B vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-coder-next.md)
- [Qwen3.5-2B vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-omni-30b-a3b-instruct.md)
- [Qwen3.5-2B vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-vl-2b-instruct.md)
- [Qwen3.5-2B vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-vl-30b-a3b-instruct.md)
- [Qwen3.5-2B vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-vl-32b-instruct.md)
- [Qwen3.5-2B vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-vl-4b-instruct.md)
- [Qwen3.5-2B vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-vl-8b-instruct.md)
- [Qwen3.5-2B vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwopus3-8-27b-flash-v2.md)
- [Qwen3.5-2B vs Recursive Flint](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-recursive-flint.md)
- [Qwen3.5-2B vs Ripple-65B Preview](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-ripple-65b-preview.md)
- [Qwen3.5-2B vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-sensenova-loop-9b-preview.md)
- [Qwen3.5-2B vs SmolLM3-3B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-smollm3-3b.md)
- [Qwen3.5-2B vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-spark-x2-6-4b.md)
- [Qwen3.5-2B vs Step 3.7 Flash](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-step-3-7-flash.md)
- [Qwen3.5-2B vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-swift-1-5-qwen3-8-27b.md)
- [Qwen3.5-2B vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-swift-1-5-qwen3-8-flash-next.md)
- [Qwen3.5-2B vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-thinkingcap-qwen3-8-27b.md)
- [Qwen3.5-2B vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-unlimited-ocr-2.md)
- [Qwen3.5-2B vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-wevisone-vl-2b.md)
- [Qwen3.5-2B vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-wevisone-vl-4b.md)
- [Qwen3.5-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-zaya1-8b.md)

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