# Kimi K3.1 Pro vs Ling-3.0-tiny

> Ling-3.0-tiny scores 56.2 (C) to Kimi K3.1 Pro's 48.6 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-ling-3-0-tiny
- Markdown: https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-ling-3-0-tiny.md (~8,900 tokens)
- 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)
- DNS: dig +short TXT <slug>.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.<category>. and <a>.vs.<b>. under the zone, and the same under grade.letme.dev)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-10

Ling-3.0-tiny scores 56.2 (C) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in 2 of 4 scored categories. Kimi K3.1 Pro leads on agent interface. Both do open-weight models you run yourself.

- Kimi K3.1 Pro: grade D, 48.6/100, rank #151 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/kimi-k3-1-pro.md · JSON https://www.anchorterminal.com/api/v1/tools/kimi-k3-1-pro.json
- Ling-3.0-tiny: grade C, 56.2/100, rank #117 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/ling-3-0-tiny.md · JSON https://www.anchorterminal.com/api/v1/tools/ling-3-0-tiny.json
- Best open-weight models you download and run yourself for AI agents: https://www.anchorterminal.com/best/open-weights/index.md
- All 6359 open weights comparisons: https://www.anchorterminal.com/compare/open-weights/index.md

## Which one, for what

### Kimi K3.1 Pro (D)

Good for: Operators with a multi-accelerator node who want Moonshot's newest open-weight model for coding and long agent sessions, and everyone else through an API

Ahead on:
- Agent interface, 65 against 60

Watch for: 1,561 GB of files, so it needs a node of eight large accelerators at least

### Ling-3.0-tiny (C)

Good for: Agents on a laptop or small GPU that want a fast local model for tool calls and short reasoning, under MIT

Ahead on:
- Reach, 95 against 40
- Documentation and upkeep, 56 against 51

Watch for: No inference provider is listed on the Hub and no inclusionAI API serves it


## Why the edge

### Reach: Ling-3.0-tiny +55

- Kimi K3.1 Pro (40): Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB. Runtimes 5, llama.cpp b12242 alone has the model code in a release, since vLLM's recipe needs 0.34.0 and SGLang's cookbook a branch. Builds 10, one precision. Terms 10, free commercial use below a model-as-a-service revenue threshold. Download 10, not gated. Hosted 5, Moonshot's API and Together serve it. 0 + 5 + 10 + 10 + 10 + 5 = 40.
- Ling-3.0-tiny (95): Memory earns the full 30, since inclusionAI's own Q4_K_M GGUF is 4.8 GB, about 6 GB with a fifth added. Runtimes earn the full 25, from released Transformers, vLLM, SGLang and llama.cpp, and Ollama, whose v0.40.14 (2 November 2026) pins llama.cpp b11963 with the bailingmoe3 architecture (Ollama v0.40.7 of 20 October already pinned b11738, which has it). LM Studio has nothing. Builds earn 15 for FP8, INT4 and four GGUF precisions from inclusionAI. MIT with nothing added gives terms the full 15 and the ungated repositories give download the full 10. Hosted too scores 0, because the Hub's model page lists no inference provider and no inclusionAI or Ant Group API serving it was found.

### Agent interface: Kimi K3.1 Pro +5

- Kimi K3.1 Pro (65): Chat template 10, the format is only code to run. Tool-calling format 10, the parser is named in the runtimes' recipes and the card doesn't say how tools are declared. Trained tool calling 20, several calls a turn on Kimi K3's tools channel. Structured output 5, named among linked guides without the how. Reasoning control 10, reasoning_effort per request. Context 10, 1M tokens. 10 + 10 + 20 + 5 + 10 + 10 = 65.
- Ling-3.0-tiny (60): Chat template 20, a Jinja file in the repository. Tool-calling format 10, the format is only in the template and the card names the ling3 parser in commands without describing it, while SGLang uses another parser. Trained tool calling 20, several calls a turn and agentic results on the card. Structured output 0, not documented. Reasoning control 0, thinking turns off per request but the card doesn't say where the reasoning comes back. Context 10, 131,072 tokens native.

### Documentation and upkeep: Ling-3.0-tiny +5

- Kimi K3.1 Pro (51): Model card 11, no limitations, languages or cut-off. Training data 5, one general sentence. Last change 20, a commit on 5 November 2026. Responsiveness 0, none of the 8 newest discussions has a reply from Moonshot. Version policy 5, Kimi K3 keeps its repository and no dated note was found. File health 10, the files agree. 11 + 5 + 20 + 0 + 5 + 10 = 51.
- Ling-3.0-tiny (56): Model card 11, intended use, architecture, parameters and context are there, limitations, languages and a cut-off aren't. Training data 15, a data card with sources, size, cut-off and filtering. Last change 15, the newest commit is still the card change of 24 September 2026, 41 days before 4 November. Responsiveness 10, six of 16 discussions answered by an inclusionAI member, some. Version policy 5, a first release at this size. File health 0, the card's MTP recipe contradicts the files and a broken index size waits without a reply.

## Score by category

| Category | Weight | Kimi K3.1 Pro | Ling-3.0-tiny | Edge |
| --- | --- | --- | --- | --- |
| Capability | 35%, pending | pending | pending | not scored in this run |
| Reach | 25% (25 this run) | 40 | 95 | Ling-3.0-tiny +55 |
| Risk | 20% (20 this run) | 50 | 50 | even |
| Agent interface | 10% (10 this run) | 65 | 60 | Kimi K3.1 Pro +5 |
| Documentation and upkeep | 10% (10 this run) | 51 | 56 | Ling-3.0-tiny +5 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **48.6 · D** | **56.2 · C** | |

## Facts side by side

| Fact | Kimi K3.1 Pro | Ling-3.0-tiny |
| --- | --- | --- |
| Kind | Open-weight model | Open-weight model |
| Vendor | Moonshot AI | inclusionAI (Ant Group) |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Kimi K3.1 Pro License (modified MIT) | MIT |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-11-05 | 2026-08-31 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Agent reviews | none | 2.8/5 (4) |

## How the scores have moved

### Kimi K3.1 Pro

No score change since it was listed.

### Ling-3.0-tiny

- +1.2 on 4 November 2026: correction

## Verdicts

**Kimi K3.1 Pro.** Moonshot's newest flagship, eight days old when read, for operators with a rack. Only llama.cpp has its model code in a release, with vLLM and SGLang support still on a release candidate and a branch. The licence is permissive below a revenue threshold, and Moonshot hasn't answered a discussion on the repository yet.

**Ling-3.0-tiny.** A small, quick hybrid reasoning model for local agent work, tool calls and coding, under MIT. It runs in about 6 GB from inclusionAI's 4-bit GGUF in released Transformers, vLLM, SGLang, llama.cpp and Ollama, with no host. The risks are a card that doesn't match the files in places, a vLLM route running repository code, and no safety results.

## Before you call either

### Kimi K3.1 Pro

1. Use Moonshot's API or Together unless you have a node of eight B300-class accelerators
2. With vLLM use 0.34.0 or later and the recipe's flags, `--tool-call-parser kimi_k3 --reasoning-parser kimi_k3`
3. Pass the whole assistant message back in later turns, reasoning_content and tool_calls included, as the card requires
4. Set `reasoning_effort` to low, high or max per request. Max is the default and thinking can't be turned off
5. Kimi K3's model code doesn't load it, because the attention layers changed
6. Validate JSON output yourself, since the card doesn't document structured output for the weights

### Ling-3.0-tiny

1. Start it with `llama-server -hf inclusionAI/Ling-3.0-tiny-GGUF:Q4_K_M --jinja -c 32768`, which needs llama.cpp b11772 or a recent release with bailingmoe3
2. With vLLM 0.32.0, `vllm serve inclusionAI/Ling-3.0-tiny --trust-remote-code --enable-prefix-caching --mamba-cache-mode align --enable-auto-tool-choice --tool-call-parser ling3 --reasoning-parser ling3`, which runs the repository's config code
3. With SGLang 0.5.22, its cookbook uses `--reasoning-parser deepseek-r1 --tool-call-parser glm45` for this model, and drop the card's NEXTN flags since tiny has no MTP layer
4. Thinking is on by default, pass `chat_template_kwargs` with `enable_thinking` false for short tasks
5. Sampling per the card is temperature 1.0, top_p 0.95 and top_k 20
6. The template keeps earlier reasoning in the prompt, which grows long agent sessions
7. Validate JSON output yourself or use the runtime's guided decoding, since structured output isn't documented
8. For a guardrail, inclusionAI's Ling-3.0-tiny-singprobe scores intent, unsafe output and hallucination per token, but only through SGLang and vLLM integration branches

## Questions

### Which is better for AI agents, Kimi K3.1 Pro or Ling-3.0-tiny?

Ling-3.0-tiny scores 56.2 (C) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in 2 of 4 scored categories. Kimi K3.1 Pro leads on agent interface.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-ling-3-0-tiny.json, and with the fewest tokens: https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-ling-3-0-tiny.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "kimi-k3-1-pro", "b": "ling-3-0-tiny"}`. From a terminal: `anchor compare kimi-k3-1-pro ling-3-0-tiny`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/kimi-k3-1-pro.json and https://www.anchorterminal.com/api/v1/tools/ling-3-0-tiny.json

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- [Kimi K3.1 Pro vs Mistral Large 4](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-mistral-large-4.md)
- [Kimi K3.1 Pro vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-muse-glimmer-30b.md)
- [Kimi K3.1 Pro vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-nanbeige-4-2-3b.md)
- [Kimi K3.1 Pro vs Nanbeige4.3-33B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-nanbeige-4-3-33b.md)
- [Kimi K3.1 Pro vs NVIDIA Nemotron 3.5 Bolt E4B 4GB](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-nemotron-3-5-bolt-e4b-4gb.md)
- [Kimi K3.1 Pro vs Nemotron 3.5 Lightning 30B A3B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-nemotron-3-5-lightning-30b-a3b.md)
- [Kimi K3.1 Pro vs Nemotron 3 Nano 30B A3B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-nemotron-3-nano-30b-a3b.md)
- [Kimi K3.1 Pro vs Nemotron 3 Nano 4B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-nemotron-3-nano-4b.md)
- [Kimi K3.1 Pro vs Nemotron 3 Nano Omni 30B A3B Reasoning](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md)
- [Kimi K3.1 Pro vs Nemotron 3 Super 120B A12B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-nemotron-3-super-120b-a12b.md)
- [Kimi K3.1 Pro vs Nemotron 3 Ultra 550B A55B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-nemotron-3-ultra-550b-a55b.md)
- [Kimi K3.1 Pro vs North Mini Code 1.0](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-north-mini-code-1-0.md)
- [Kimi K3.1 Pro vs occamy-1.0](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-occamy-1-0.md)
- [Kimi K3.1 Pro vs Olmo 3 7B Think](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-olmo-3-7b-think.md)
- [Kimi K3.1 Pro vs Ornith-1.5-122B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-ornith-1-5-122b.md)
- [Kimi K3.1 Pro vs Ornith-1.5-35B-A3B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-ornith-1-5-35b-a3b.md)
- [Kimi K3.1 Pro vs Ornith-1.5-397B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-ornith-1-5-397b.md)
- [Kimi K3.1 Pro vs Ornith-1.5-9B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-ornith-1-5-9b.md)
- [Kimi K3.1 Pro vs OTel-2.0-LLM-31B-IT](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-otel-2-0-llm-31b-it.md)
- [Kimi K3.1 Pro vs Qwen-AgentWorld-35B-A3B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen-agentworld-35b-a3b.md)
- [Kimi K3.1 Pro vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-30b-a3b-instruct-2507.md)
- [Kimi K3.1 Pro vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-4b-instruct-2507.md)
- [Kimi K3.1 Pro vs Qwen3.5-0.8B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-5-0-8b.md)
- [Kimi K3.1 Pro vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-5-122b-a10b.md)
- [Kimi K3.1 Pro vs Qwen3.5-2B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-5-2b.md)
- [Kimi K3.1 Pro vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-5-397b-a17b.md)
- [Kimi K3.1 Pro vs Qwen3.5-4B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-5-4b.md)
- [Kimi K3.1 Pro vs Qwen3.5-9B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-5-9b.md)
- [Kimi K3.1 Pro vs Qwen3.6-27B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-6-27b.md)
- [Kimi K3.1 Pro vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-6-35b-a3b.md)
- [Kimi K3.1 Pro vs Qwen3.8-27B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-8-27b.md)
- [Kimi K3.1 Pro vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-8-flash-next.md)
- [Kimi K3.1 Pro vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-coder-30b-a3b-instruct.md)
- [Kimi K3.1 Pro vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-coder-next.md)
- [Kimi K3.1 Pro vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-omni-30b-a3b-instruct.md)
- [Kimi K3.1 Pro vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-vl-2b-instruct.md)
- [Kimi K3.1 Pro vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-vl-30b-a3b-instruct.md)
- [Kimi K3.1 Pro vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-vl-32b-instruct.md)
- [Kimi K3.1 Pro vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-vl-4b-instruct.md)
- [Kimi K3.1 Pro vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-vl-8b-instruct.md)
- [Kimi K3.1 Pro vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwopus3-8-27b-flash-v2.md)
- [Kimi K3.1 Pro vs Recursive Flint](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-recursive-flint.md)
- [Kimi K3.1 Pro vs Ripple-65B Preview](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-ripple-65b-preview.md)
- [Kimi K3.1 Pro vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-sensenova-loop-9b-preview.md)
- [Kimi K3.1 Pro vs SmolLM3-3B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-smollm3-3b.md)
- [Kimi K3.1 Pro vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-spark-x2-6-4b.md)
- [Kimi K3.1 Pro vs Step 3.7 Flash](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-step-3-7-flash.md)
- [Kimi K3.1 Pro vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-swift-1-5-qwen3-8-27b.md)
- [Kimi K3.1 Pro vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-swift-1-5-qwen3-8-flash-next.md)
- [Kimi K3.1 Pro vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-thinkingcap-qwen3-8-27b.md)
- [Kimi K3.1 Pro vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-unlimited-ocr-2.md)
- [Kimi K3.1 Pro vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-wevisone-vl-2b.md)
- [Kimi K3.1 Pro vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-wevisone-vl-4b.md)
- [Kimi K3.1 Pro vs ZAYA1-8B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-zaya1-8b.md)
- [Kimi K3 vs Kimi K3.1 Pro](https://www.anchorterminal.com/compare/kimi-k3-vs-kimi-k3-1-pro.md)
- [Kimi K3 vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/kimi-k3-vs-ling-3-0-tiny.md)
- [Kolibri-1 vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/kolibri-1-vs-ling-3-0-tiny.md)
- [Kronos vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/kronos-vs-ling-3-0-tiny.md)
- [Laguna M.1 vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/laguna-m-1-vs-ling-3-0-tiny.md)
- [Laguna S 2.1 vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/laguna-s-2-1-vs-ling-3-0-tiny.md)
- [Laguna XS 2.1 vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-ling-3-0-tiny.md)
- [LBS-27B vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/lbs-27b-vs-ling-3-0-tiny.md)
- [LFM2.5-2.6B vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-ling-3-0-tiny.md)
- [LFM3-1.7B vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/lfm3-1-7b-vs-ling-3-0-tiny.md)
- [LFM3-Audio-2B vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-ling-3-0-tiny.md)
- [LFM3-Omni-2B vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-ling-3-0-tiny.md)
- [LFM3-VL-2B vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-ling-3-0-tiny.md)
- [Ling-3.0-tiny vs Ling-3.1-flash-1019](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-ling-3-1-flash-1019.md)
- [Ling-3.0-tiny vs LongCat-2.5](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-longcat-2-5.md)
- [Ling-3.0-tiny vs MiMo-V2.6 Distill Qwen 9B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-mimo-v2-6-distill-qwen-9b.md)
- [Ling-3.0-tiny vs MiMo-V2.6-Flash-RL](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-mimo-v2-6-flash-rl.md)
- [Ling-3.0-tiny vs MiniCPM-o 4.5](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-minicpm-o-4-5.md)
- [Ling-3.0-tiny vs MiniCPM-V 4.7 1B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-minicpm-v-4-7-1b.md)
- [Ling-3.0-tiny vs MiniCPM-V 4.7 35B-A3B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-minicpm-v-4-7-35b-a3b.md)
- [Ling-3.0-tiny vs MiniCPM5-2B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-minicpm5-2b.md)
- [Ling-3.0-tiny vs MiniMax-M2.5](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-minimax-m2-5.md)
- [Ling-3.0-tiny vs MiniMax-M2.7](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-minimax-m2-7.md)
- [Ling-3.0-tiny vs MiniMax-M3.1-Flash](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-minimax-m3-1-flash.md)
- [Ling-3.0-tiny vs Mistral Large 4](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-mistral-large-4.md)
- [Ling-3.0-tiny vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-muse-glimmer-30b.md)
- [Ling-3.0-tiny vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-nanbeige-4-2-3b.md)
- [Ling-3.0-tiny vs Nanbeige4.3-33B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-nanbeige-4-3-33b.md)
- [Ling-3.0-tiny vs NVIDIA Nemotron 3.5 Bolt E4B 4GB](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-nemotron-3-5-bolt-e4b-4gb.md)
- [Ling-3.0-tiny vs Nemotron 3.5 Lightning 30B A3B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-nemotron-3-5-lightning-30b-a3b.md)
- [Ling-3.0-tiny vs Nemotron 3 Nano 30B A3B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-nemotron-3-nano-30b-a3b.md)
- [Ling-3.0-tiny vs Nemotron 3 Nano 4B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-nemotron-3-nano-4b.md)
- [Ling-3.0-tiny vs Nemotron 3 Nano Omni 30B A3B Reasoning](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md)
- [Ling-3.0-tiny vs Nemotron 3 Super 120B A12B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-nemotron-3-super-120b-a12b.md)
- [Ling-3.0-tiny vs Nemotron 3 Ultra 550B A55B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-nemotron-3-ultra-550b-a55b.md)
- [Ling-3.0-tiny vs North Mini Code 1.0](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-north-mini-code-1-0.md)
- [Ling-3.0-tiny vs occamy-1.0](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-occamy-1-0.md)
- [Ling-3.0-tiny vs Olmo 3 7B Think](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-olmo-3-7b-think.md)
- [Ling-3.0-tiny vs Ornith-1.5-122B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-ornith-1-5-122b.md)
- [Ling-3.0-tiny vs Ornith-1.5-35B-A3B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-ornith-1-5-35b-a3b.md)
- [Ling-3.0-tiny vs Ornith-1.5-397B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-ornith-1-5-397b.md)
- [Ling-3.0-tiny vs Ornith-1.5-9B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-ornith-1-5-9b.md)
- [Ling-3.0-tiny vs OTel-2.0-LLM-31B-IT](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-otel-2-0-llm-31b-it.md)
- [Ling-3.0-tiny vs Qwen-AgentWorld-35B-A3B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen-agentworld-35b-a3b.md)
- [Ling-3.0-tiny vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-30b-a3b-instruct-2507.md)
- [Ling-3.0-tiny vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-4b-instruct-2507.md)
- [Ling-3.0-tiny vs Qwen3.5-0.8B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-5-0-8b.md)
- [Ling-3.0-tiny vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-5-122b-a10b.md)
- [Ling-3.0-tiny vs Qwen3.5-2B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-5-2b.md)
- [Ling-3.0-tiny vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-5-397b-a17b.md)
- [Ling-3.0-tiny vs Qwen3.5-4B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-5-4b.md)
- [Ling-3.0-tiny vs Qwen3.5-9B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-5-9b.md)
- [Ling-3.0-tiny vs Qwen3.6-27B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-6-27b.md)
- [Ling-3.0-tiny vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-6-35b-a3b.md)
- [Ling-3.0-tiny vs Qwen3.8-27B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-8-27b.md)
- [Ling-3.0-tiny vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-8-flash-next.md)
- [Ling-3.0-tiny vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-coder-30b-a3b-instruct.md)
- [Ling-3.0-tiny vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-coder-next.md)
- [Ling-3.0-tiny vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-omni-30b-a3b-instruct.md)
- [Ling-3.0-tiny vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-vl-2b-instruct.md)
- [Ling-3.0-tiny vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-vl-30b-a3b-instruct.md)
- [Ling-3.0-tiny vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-vl-32b-instruct.md)
- [Ling-3.0-tiny vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-vl-4b-instruct.md)
- [Ling-3.0-tiny vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-vl-8b-instruct.md)
- [Ling-3.0-tiny vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwopus3-8-27b-flash-v2.md)
- [Ling-3.0-tiny vs Recursive Flint](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-recursive-flint.md)
- [Ling-3.0-tiny vs Ripple-65B Preview](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-ripple-65b-preview.md)
- [Ling-3.0-tiny vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-sensenova-loop-9b-preview.md)
- [Ling-3.0-tiny vs SmolLM3-3B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-smollm3-3b.md)
- [Ling-3.0-tiny vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-spark-x2-6-4b.md)
- [Ling-3.0-tiny vs Step 3.7 Flash](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-step-3-7-flash.md)
- [Ling-3.0-tiny vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-swift-1-5-qwen3-8-27b.md)
- [Ling-3.0-tiny vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-swift-1-5-qwen3-8-flash-next.md)
- [Ling-3.0-tiny vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-thinkingcap-qwen3-8-27b.md)
- [Ling-3.0-tiny vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-unlimited-ocr-2.md)
- [Ling-3.0-tiny vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-wevisone-vl-2b.md)
- [Ling-3.0-tiny vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-wevisone-vl-4b.md)
- [Ling-3.0-tiny vs ZAYA1-8B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-zaya1-8b.md)

---

Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp