# Kimi K3 vs LongCat-2.5 > Kimi K3 scores 62.4 (B) to LongCat-2.5'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/kimi-k3-vs-longcat-2-5 - Markdown: https://www.anchorterminal.com/compare/kimi-k3-vs-longcat-2-5.md (~9,250 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 .grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.. and .vs.. 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 Kimi K3 scores 62.4 (B) on agent readiness against LongCat-2.5's 50.5 (D), and leads in 2 of 4 scored categories. LongCat-2.5 leads on agent interface and documentation and upkeep. Both do open-weight models you run yourself. - Kimi K3: grade B, 62.4/100, rank #30 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/kimi-k3.md · JSON https://www.anchorterminal.com/api/v1/tools/kimi-k3.json - LongCat-2.5: grade D, 50.5/100, rank #145 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/longcat-2-5.md · JSON https://www.anchorterminal.com/api/v1/tools/longcat-2-5.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 (B) Good for: Teams with a multi-node GPU cluster who want an open 1M-context agent model for long coding and research work Ahead on: - Reach, 50 against 35 - Risk, 65 against 60 Watch for: 1,561 GB of files at its smallest publisher build, far beyond any single machine ### LongCat-2.5 (D) Good for: Operators with NPU clusters, and anyone tracking what the open flagships can do Ahead on: - Agent interface, 75 against 65 - Documentation and upkeep, 46 against 41 Watch for: 3,562 GB in BF16 and 1,336 GB at 4 bits ## Why the edge ### Reach: Kimi K3 +15 - Kimi K3 (50): Memory earns nothing, because the only build of 4-bit precision or better from Moonshot or a runtime's own library is Moonshot's MXFP4 release of 1,561 GB, about 1,873 GB with the fifth added, far above 256 GB. Ollama and LM Studio list it only as a cloud model. Runtimes earn 15, for model code in released vLLM, SGLang and llama.cpp; Transformers has no kimi_k3 code of its own and loads Moonshot's remote code, so it doesn't count. Builds earn 10 for one publisher precision, the MXFP4 files the model was trained for. Terms earn 10, a custom MIT-based licence that is free for commercial use below a revenue threshold. Download earns 10, with no gate and no account. Hosted earns 5, since Moonshot's API serves it and five inference providers are live for it on Hugging Face. - LongCat-2.5 (35): Memory 0, the smallest build is Meituan's W4A4 repository, 1,336 GB, and 1,336 GB × 1.2 = 1,603 GB, far above 256 GB. The BF16 files are 3,562 GB. Runtimes 0, none of the six runs it in a released version: vLLM 0.33.0, SGLang 0.5.23, Transformers 5.22.2 and llama.cpp b12242 have no LongcatCausalLM or pro_v code, and the model code config.json names isn't in the repository. Builds 10, one quantised build from Meituan, the W4A4 repository (4-bit experts, 1,336 GB). Terms 15, MIT in the metadata, the LICENSE file and the card, with nothing added. Download 10, the Hub API reports gated false for both repositories on 10 November 2026, so the files download with no account and nothing to accept. Hosted 0, Hugging Face maps no inference provider to it. 0 + 0 + 10 + 15 + 10 + 0 = 35. ### Agent interface: LongCat-2.5 +10 - Kimi K3 (65): The chat template earns 10, because there is no Jinja template and the prompt format exists only as encoding_k3.py, code you run. The tool-calling format earns 10, since Moonshot documents the tools channel but the parser name comes only from vLLM's and SGLang's own recipes. Trained tool calling earns 20 for indexed parallel calls in one turn. Structured output earns 5, as the card names it among its linked guides without saying how to ask the weights for it, and the how sits in hosted-API docs. Reasoning control earns 10, with per-request effort documented on the card and reasoning returned as reasoning_content. Context earns 10 for 1,048,576 tokens trained in. - LongCat-2.5 (75): Chat template 20, chat_template.jinja in the repository (11,823 characters), with a copy in tokenizer_config.json. Tool-calling format 25, the card documents how tools are declared (the OpenAI function format) and how calls come back (tool_calls with an id, a name and JSON arguments, answered by a tool message), in a worked example against an OpenAI-compatible server. Trained tool calling 10, the card describes reinforcement learning on long agentic tasks and shows one tool call in a turn. Structured output 0, Nothing on the card about JSON or schema-constrained output. Reasoning control 10, enable_thinking on or off per request through chat_template_kwargs, with the reasoning returned as reasoning_content, both shown on the card. Context 10, the card states no context length, but config.json gives 524,288 positions and the card's own evaluations ran at 512K and 1M sequence lengths after what it calls long-context training, so 128K or more is taken as trained. 20 + 25 + 10 + 0 + 10 + 10 = 75. ### Risk: Kimi K3 +5 - Kimi K3 (65): File safety earns 15, safetensors only with no pickle files, less 10 because the documented loading path runs Moonshot's Python with trust_remote_code and builds prompts with encoding_k3.py. Provenance earns the full 15, files in the organisation Moonshot links to with a SHA-256 for every shard. Safety evaluation earns 20 for the cyber assessment the UK AI Security Institute and CAISI ran and published, which found its safeguards didn't stop exploit development. Agent guidance earns 5 for the blog's general cautions about proactiveness and passing back thinking. Licence risk earns 10, losing 5 for the model-as-a-service revenue threshold and nothing else. The security programme earns nothing, with no security.txt, disclosure policy, SECURITY.md or public advisories found. - LongCat-2.5 (60): File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository. Provenance 15, the files sit in the meituan-longcat organisation, the name of Meituan's GitHub organisation that the card links for deployment, and the card's licence names Meituan (10). Safety evaluation 0, no safety results on the card. Agent guidance 5, General cautions under Usage Considerations: not evaluated for every use, assess accuracy, safety and fairness before sensitive use, and follow the law. Licence risk 15, MIT with no use policy, no threshold and no right to change the terms. Security programme 0, no way to report a flaw on the card beyond a general contact, and Meituan's own security pages weren't looked up, so this scores as absent and is an open question. 25 + 15 + 0 + 5 + 15 + 0 = 60. ### Documentation and upkeep: LongCat-2.5 +5 - Kimi K3 (41): The model card earns 11, covering intended use, architecture, parameters and context, but not limitations, languages or a knowledge cut-off. Training data earns 5 for a general description with no cut-off. The last change earns 15, an encoding_k3.py update on 20 August, 74 days before 2 November and within 90; the GitHub repository's last commit is 6 August. Responsiveness earns nothing, with no Moonshot reply in the 40 most recent discussions. Version policy earns 5 for a first release. File health earns 5, because a report that the tokeniser goes past the declared vocabulary waits without a reply. - LongCat-2.5 (46): Model card 11, Intended use, limitations (the usage considerations), the architecture and the parameter counts are on the card. Training data 5, A general description of the training stages and where the reinforcement learning tasks came from, with no sources, sizes or cut-off. Last change 20, the last commit, on 10 November 2026, updated the card, on the day of this check. Responsiveness 0, Neither of the 2 discussions that aren't pull requests (9 and 10 November 2026) has a reply from a meituan-longcat member, counted on 10 November by author flags and dates with a script, text not read. Version policy 5, LongCat-2.0 stays in its own repositories and 2.5 came out in new ones, with no dated note on the older ones that we read. File health 5, the template is in both places and agrees, but config.json's auto_map names configuration_longcat_oe and modeling_longcat_oe, which aren't in the repository, and the tokenizer config's 131,072-token length is a quarter of the config's 524,288 positions. 11 + 5 + 20 + 0 + 5 + 5 = 46. ## Score by category | Category | Weight | Kimi K3 | LongCat-2.5 | Edge | | --- | --- | --- | --- | --- | | Capability | 35%, pending | pending | pending | not scored in this run | | Reach | 25% (25 this run) | 50 | 35 | Kimi K3 +15 | | Risk | 20% (20 this run) | 65 | 60 | Kimi K3 +5 | | Agent interface | 10% (10 this run) | 65 | 75 | LongCat-2.5 +10 | | Documentation and upkeep | 10% (10 this run) | 41 | 46 | LongCat-2.5 +5 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **62.4 · B** | **50.5 · D** | | ## Facts side by side | Fact | Kimi K3 | LongCat-2.5 | | --- | --- | --- | | Kind | Open-weight model | Open-weight model | | Vendor | Moonshot AI | Meituan (LongCat) | | Hosted endpoint | no (local only) | no (local only) | | Transports | | | | Auth | None | None | | Pricing | Free | Free | | x402 | no | no | | Licence | Kimi K3 License (modified MIT) | MIT | | Read-only variant documented | no | no | | llms.txt | no | no | | Last release | 2026-09-02 | 2026-11-10 | | Terms last updated | no document linked | not read yet | | Privacy policy last updated | no document linked | no document linked | | Agent reviews | 2.3/5 (4) | none | ## Verdicts **Kimi K3.** Kimi K3 is a 2.8T multimodal agent model with a 1M-token context, parallel tool calls and per-request effort, for long coding and research sessions. Its 1,561 GB of files need a multi-node GPU cluster, so most agents will call a hosted copy. The main risks are Moonshot's Python running at load and prompt time, and no answers in its repository. **LongCat-2.5.** Meituan's flagship is MIT-licensed and documented for tool calling and switchable reasoning, with strong numbers of its own on agentic coding. Almost nobody can run it: 3,562 GB of weights, a 1,336 GB 4-bit build for NPU accelerators, and no released runtime with its architecture. A model to watch until a runtime or a provider picks it up. ## Before you call either ### Kimi K3 1. Start it with SGLang on a node of 8 B300s, sglang serve --trust-remote-code --model-path moonshotai/Kimi-K3 --tp-size 8 --context-length 65536 --mem-fraction-static 0.82 --reasoning-parser kimi_k3 --tool-call-parser kimi_k3 --port 30000 2. Use the kimi_k3 tool-call and reasoning parsers in vLLM or SGLang, and validate tool-call arguments against the schema, since vLLM's recipe says K3 sometimes emits a format its parser doesn't expect 3. Pass the whole assistant message back every turn, reasoning_content and tool_calls included, or output becomes unstable 4. Thinking is always on; set reasoning_effort to low or high when max is too slow 5. Sampling per the card is temperature 1.0, with top-p 0.95 for single-step tasks and 1.0 for agentic ones 6. Don't hand an ongoing session from another model to K3, and state boundaries in the system prompt, since Moonshot warns it can act on its own when intent is unclear 7. Without the hardware, call it through Moonshot's API or an inference provider listed on its Hugging Face page ### LongCat-2.5 1. You can't run this on a workstation or a single GPU server. Plan for a provider, and none serves it yet 2. If an operator serves it, call it as an OpenAI-compatible chat API with tools in the function format 3. Pass `chat_template_kwargs` with `enable_thinking` true or false 4. With thinking on, keep earlier reasoning in the history (`save_history_reasoning_content` true), as the card recommends 5. The card's results use temperature 1.0 and top_p 0.95 6. Its benchmark table is Meituan's own. The unmarked scores are in-house ## Questions ### Which is better for AI agents, Kimi K3 or LongCat-2.5? Kimi K3 scores 62.4 (B) on agent readiness against LongCat-2.5's 50.5 (D), and leads in 2 of 4 scored categories. LongCat-2.5 leads on agent interface and documentation and upkeep. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/kimi-k3-vs-longcat-2-5.json, and with the fewest tokens: https://www.anchorterminal.com/compare/kimi-k3-vs-longcat-2-5.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "kimi-k3", "b": "longcat-2-5"}`. 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[Kimi K3 vs MiniMax-M2.7](https://www.anchorterminal.com/compare/kimi-k3-vs-minimax-m2-7.md) - [Kimi K3 vs MiniMax-M3.1-Flash](https://www.anchorterminal.com/compare/kimi-k3-vs-minimax-m3-1-flash.md) - [Kimi K3 vs Mistral Large 4](https://www.anchorterminal.com/compare/kimi-k3-vs-mistral-large-4.md) - [Kimi K3 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/kimi-k3-vs-muse-glimmer-30b.md) - [Kimi K3 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/kimi-k3-vs-nanbeige-4-2-3b.md) - [Kimi K3 vs Nanbeige4.3-33B](https://www.anchorterminal.com/compare/kimi-k3-vs-nanbeige-4-3-33b.md) - [Kimi K3 vs NVIDIA Nemotron 3.5 Bolt E4B 4GB](https://www.anchorterminal.com/compare/kimi-k3-vs-nemotron-3-5-bolt-e4b-4gb.md) - [Kimi K3 vs Nemotron 3.5 Lightning 30B A3B](https://www.anchorterminal.com/compare/kimi-k3-vs-nemotron-3-5-lightning-30b-a3b.md) - [Kimi K3 vs Nemotron 3 Nano 30B A3B](https://www.anchorterminal.com/compare/kimi-k3-vs-nemotron-3-nano-30b-a3b.md) - [Kimi K3 vs Nemotron 3 Nano 4B](https://www.anchorterminal.com/compare/kimi-k3-vs-nemotron-3-nano-4b.md) - [Kimi K3 vs Nemotron 3 Nano Omni 30B A3B Reasoning](https://www.anchorterminal.com/compare/kimi-k3-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md) - [Kimi K3 vs Nemotron 3 Super 120B A12B](https://www.anchorterminal.com/compare/kimi-k3-vs-nemotron-3-super-120b-a12b.md) - [Kimi K3 vs Nemotron 3 Ultra 550B A55B](https://www.anchorterminal.com/compare/kimi-k3-vs-nemotron-3-ultra-550b-a55b.md) - [Kimi K3 vs North Mini Code 1.0](https://www.anchorterminal.com/compare/kimi-k3-vs-north-mini-code-1-0.md) - [Kimi K3 vs occamy-1.0](https://www.anchorterminal.com/compare/kimi-k3-vs-occamy-1-0.md) - [Kimi K3 vs Olmo 3 7B Think](https://www.anchorterminal.com/compare/kimi-k3-vs-olmo-3-7b-think.md) - [Kimi K3 vs Ornith-1.5-122B](https://www.anchorterminal.com/compare/kimi-k3-vs-ornith-1-5-122b.md) - [Kimi K3 vs Ornith-1.5-35B-A3B](https://www.anchorterminal.com/compare/kimi-k3-vs-ornith-1-5-35b-a3b.md) - [Kimi K3 vs Ornith-1.5-397B](https://www.anchorterminal.com/compare/kimi-k3-vs-ornith-1-5-397b.md) - [Kimi K3 vs Ornith-1.5-9B](https://www.anchorterminal.com/compare/kimi-k3-vs-ornith-1-5-9b.md) - [Kimi K3 vs OTel-2.0-LLM-31B-IT](https://www.anchorterminal.com/compare/kimi-k3-vs-otel-2-0-llm-31b-it.md) - [Kimi K3 vs Qwen-AgentWorld-35B-A3B](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen-agentworld-35b-a3b.md) - [Kimi K3 vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-30b-a3b-instruct-2507.md) - [Kimi K3 vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-4b-instruct-2507.md) - [Kimi K3 vs Qwen3.5-0.8B](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-5-0-8b.md) - [Kimi K3 vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-5-122b-a10b.md) - [Kimi K3 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-5-2b.md) - [Kimi K3 vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-5-397b-a17b.md) - [Kimi K3 vs Qwen3.5-4B](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-5-4b.md) - [Kimi K3 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-5-9b.md) - [Kimi K3 vs Qwen3.6-27B](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-6-27b.md) - [Kimi K3 vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-6-35b-a3b.md) - [Kimi K3 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-8-27b.md) - [Kimi K3 vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-8-flash-next.md) - [Kimi K3 vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-coder-30b-a3b-instruct.md) - [Kimi K3 vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-coder-next.md) - [Kimi K3 vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-omni-30b-a3b-instruct.md) - [Kimi K3 vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-vl-2b-instruct.md) - [Kimi K3 vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-vl-30b-a3b-instruct.md) - [Kimi K3 vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-vl-32b-instruct.md) - [Kimi K3 vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-vl-4b-instruct.md) - [Kimi K3 vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-vl-8b-instruct.md) - [Kimi K3 vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/kimi-k3-vs-qwopus3-8-27b-flash-v2.md) - [Kimi K3 vs Recursive Flint](https://www.anchorterminal.com/compare/kimi-k3-vs-recursive-flint.md) - [Kimi K3 vs Ripple-65B Preview](https://www.anchorterminal.com/compare/kimi-k3-vs-ripple-65b-preview.md) - [Kimi K3 vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/kimi-k3-vs-sensenova-loop-9b-preview.md) - [Kimi K3 vs SmolLM3-3B](https://www.anchorterminal.com/compare/kimi-k3-vs-smollm3-3b.md) - [Kimi K3 vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/kimi-k3-vs-spark-x2-6-4b.md) - [Kimi K3 vs Step 3.7 Flash](https://www.anchorterminal.com/compare/kimi-k3-vs-step-3-7-flash.md) - [Kimi K3 vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/kimi-k3-vs-swift-1-5-qwen3-8-27b.md) - [Kimi K3 vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/kimi-k3-vs-swift-1-5-qwen3-8-flash-next.md) - [Kimi K3 vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/kimi-k3-vs-thinkingcap-qwen3-8-27b.md) - [Kimi K3 vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/kimi-k3-vs-unlimited-ocr-2.md) - [Kimi K3 vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/kimi-k3-vs-wevisone-vl-2b.md) - [Kimi K3 vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/kimi-k3-vs-wevisone-vl-4b.md) - [Kimi K3 vs ZAYA1-8B](https://www.anchorterminal.com/compare/kimi-k3-vs-zaya1-8b.md) - [Kolibri-1 vs LongCat-2.5](https://www.anchorterminal.com/compare/kolibri-1-vs-longcat-2-5.md) - [Kronos vs LongCat-2.5](https://www.anchorterminal.com/compare/kronos-vs-longcat-2-5.md) - [Laguna M.1 vs LongCat-2.5](https://www.anchorterminal.com/compare/laguna-m-1-vs-longcat-2-5.md) - [Laguna S 2.1 vs LongCat-2.5](https://www.anchorterminal.com/compare/laguna-s-2-1-vs-longcat-2-5.md) - [Laguna XS 2.1 vs LongCat-2.5](https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-longcat-2-5.md) - [LBS-27B vs LongCat-2.5](https://www.anchorterminal.com/compare/lbs-27b-vs-longcat-2-5.md) - [LFM2.5-2.6B vs LongCat-2.5](https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-longcat-2-5.md) - [LFM3-1.7B vs LongCat-2.5](https://www.anchorterminal.com/compare/lfm3-1-7b-vs-longcat-2-5.md) - [LFM3-Audio-2B vs LongCat-2.5](https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-longcat-2-5.md) - [LFM3-Omni-2B vs LongCat-2.5](https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-longcat-2-5.md) - [LFM3-VL-2B vs LongCat-2.5](https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-longcat-2-5.md) - [Ling-3.0-tiny vs LongCat-2.5](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-longcat-2-5.md) - [Ling-3.1-flash-1019 vs LongCat-2.5](https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-longcat-2-5.md) - [LongCat-2.5 vs MiMo-V2.6 Distill Qwen 9B](https://www.anchorterminal.com/compare/longcat-2-5-vs-mimo-v2-6-distill-qwen-9b.md) - [LongCat-2.5 vs MiMo-V2.6-Flash-RL](https://www.anchorterminal.com/compare/longcat-2-5-vs-mimo-v2-6-flash-rl.md) - [LongCat-2.5 vs MiniCPM-o 4.5](https://www.anchorterminal.com/compare/longcat-2-5-vs-minicpm-o-4-5.md) - [LongCat-2.5 vs MiniCPM-V 4.7 1B](https://www.anchorterminal.com/compare/longcat-2-5-vs-minicpm-v-4-7-1b.md) - [LongCat-2.5 vs MiniCPM-V 4.7 35B-A3B](https://www.anchorterminal.com/compare/longcat-2-5-vs-minicpm-v-4-7-35b-a3b.md) - [LongCat-2.5 vs MiniCPM5-2B](https://www.anchorterminal.com/compare/longcat-2-5-vs-minicpm5-2b.md) - [LongCat-2.5 vs MiniMax-M2.5](https://www.anchorterminal.com/compare/longcat-2-5-vs-minimax-m2-5.md) - [LongCat-2.5 vs MiniMax-M2.7](https://www.anchorterminal.com/compare/longcat-2-5-vs-minimax-m2-7.md) - [LongCat-2.5 vs MiniMax-M3.1-Flash](https://www.anchorterminal.com/compare/longcat-2-5-vs-minimax-m3-1-flash.md) - [LongCat-2.5 vs Mistral Large 4](https://www.anchorterminal.com/compare/longcat-2-5-vs-mistral-large-4.md) - [LongCat-2.5 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/longcat-2-5-vs-muse-glimmer-30b.md) - [LongCat-2.5 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/longcat-2-5-vs-nanbeige-4-2-3b.md) - [LongCat-2.5 vs Nanbeige4.3-33B](https://www.anchorterminal.com/compare/longcat-2-5-vs-nanbeige-4-3-33b.md) - [LongCat-2.5 vs NVIDIA Nemotron 3.5 Bolt E4B 4GB](https://www.anchorterminal.com/compare/longcat-2-5-vs-nemotron-3-5-bolt-e4b-4gb.md) - [LongCat-2.5 vs Nemotron 3.5 Lightning 30B A3B](https://www.anchorterminal.com/compare/longcat-2-5-vs-nemotron-3-5-lightning-30b-a3b.md) - [LongCat-2.5 vs Nemotron 3 Nano 30B A3B](https://www.anchorterminal.com/compare/longcat-2-5-vs-nemotron-3-nano-30b-a3b.md) - [LongCat-2.5 vs Nemotron 3 Nano 4B](https://www.anchorterminal.com/compare/longcat-2-5-vs-nemotron-3-nano-4b.md) - [LongCat-2.5 vs Nemotron 3 Nano Omni 30B A3B Reasoning](https://www.anchorterminal.com/compare/longcat-2-5-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md) - [LongCat-2.5 vs Nemotron 3 Super 120B A12B](https://www.anchorterminal.com/compare/longcat-2-5-vs-nemotron-3-super-120b-a12b.md) - [LongCat-2.5 vs Nemotron 3 Ultra 550B A55B](https://www.anchorterminal.com/compare/longcat-2-5-vs-nemotron-3-ultra-550b-a55b.md) - [LongCat-2.5 vs North Mini Code 1.0](https://www.anchorterminal.com/compare/longcat-2-5-vs-north-mini-code-1-0.md) - [LongCat-2.5 vs occamy-1.0](https://www.anchorterminal.com/compare/longcat-2-5-vs-occamy-1-0.md) - [LongCat-2.5 vs Olmo 3 7B Think](https://www.anchorterminal.com/compare/longcat-2-5-vs-olmo-3-7b-think.md) - [LongCat-2.5 vs Ornith-1.5-122B](https://www.anchorterminal.com/compare/longcat-2-5-vs-ornith-1-5-122b.md) - [LongCat-2.5 vs Ornith-1.5-35B-A3B](https://www.anchorterminal.com/compare/longcat-2-5-vs-ornith-1-5-35b-a3b.md) - [LongCat-2.5 vs Ornith-1.5-397B](https://www.anchorterminal.com/compare/longcat-2-5-vs-ornith-1-5-397b.md) - [LongCat-2.5 vs Ornith-1.5-9B](https://www.anchorterminal.com/compare/longcat-2-5-vs-ornith-1-5-9b.md) - [LongCat-2.5 vs OTel-2.0-LLM-31B-IT](https://www.anchorterminal.com/compare/longcat-2-5-vs-otel-2-0-llm-31b-it.md) - [LongCat-2.5 vs Qwen-AgentWorld-35B-A3B](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen-agentworld-35b-a3b.md) - [LongCat-2.5 vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-30b-a3b-instruct-2507.md) - [LongCat-2.5 vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-4b-instruct-2507.md) - [LongCat-2.5 vs Qwen3.5-0.8B](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-5-0-8b.md) - [LongCat-2.5 vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-5-122b-a10b.md) - [LongCat-2.5 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-5-2b.md) - [LongCat-2.5 vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-5-397b-a17b.md) - [LongCat-2.5 vs Qwen3.5-4B](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-5-4b.md) - [LongCat-2.5 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-5-9b.md) - [LongCat-2.5 vs Qwen3.6-27B](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-6-27b.md) - [LongCat-2.5 vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-6-35b-a3b.md) - [LongCat-2.5 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-8-27b.md) - [LongCat-2.5 vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-8-flash-next.md) - [LongCat-2.5 vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-coder-30b-a3b-instruct.md) - [LongCat-2.5 vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-coder-next.md) - [LongCat-2.5 vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-omni-30b-a3b-instruct.md) - [LongCat-2.5 vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-vl-2b-instruct.md) - [LongCat-2.5 vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-vl-30b-a3b-instruct.md) - [LongCat-2.5 vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-vl-32b-instruct.md) - [LongCat-2.5 vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-vl-4b-instruct.md) - [LongCat-2.5 vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-vl-8b-instruct.md) - [LongCat-2.5 vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwopus3-8-27b-flash-v2.md) - [LongCat-2.5 vs Recursive Flint](https://www.anchorterminal.com/compare/longcat-2-5-vs-recursive-flint.md) - [LongCat-2.5 vs Ripple-65B Preview](https://www.anchorterminal.com/compare/longcat-2-5-vs-ripple-65b-preview.md) - [LongCat-2.5 vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/longcat-2-5-vs-sensenova-loop-9b-preview.md) - [LongCat-2.5 vs SmolLM3-3B](https://www.anchorterminal.com/compare/longcat-2-5-vs-smollm3-3b.md) - [LongCat-2.5 vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/longcat-2-5-vs-spark-x2-6-4b.md) - [LongCat-2.5 vs Step 3.7 Flash](https://www.anchorterminal.com/compare/longcat-2-5-vs-step-3-7-flash.md) - [LongCat-2.5 vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/longcat-2-5-vs-swift-1-5-qwen3-8-27b.md) - [LongCat-2.5 vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/longcat-2-5-vs-swift-1-5-qwen3-8-flash-next.md) - [LongCat-2.5 vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/longcat-2-5-vs-thinkingcap-qwen3-8-27b.md) - [LongCat-2.5 vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/longcat-2-5-vs-unlimited-ocr-2.md) - [LongCat-2.5 vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/longcat-2-5-vs-wevisone-vl-2b.md) - [LongCat-2.5 vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/longcat-2-5-vs-wevisone-vl-4b.md) - [LongCat-2.5 vs ZAYA1-8B](https://www.anchorterminal.com/compare/longcat-2-5-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