Title: LLMs for code: tagged and documented %E2%80%94 LLM EU Canonical: https://llmeu.com/sl/use/coding/ Markdown mirror: https://llmeu.com/sl/use/coding.md Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json # LLMs for code: tagged and documented Models tagged for code work in the catalogue. The tag records what the card claims and what the provider reports, not an evaluation run by LLM EU. 61 models %C2%B7 [Open in the catalogue filter](/sl/models/?task=coding) - [Codestral 25.08](/sl/models/codestral-25-08/) %E2%80%94 Mistral AI %C2%B7 128K %C2%B7 proprietary - [Deepseek Coder 7B Instruct V1.5](/sl/models/deepseek-coder-7b-instruct-v1-5/) %E2%80%94 DeepSeek %C2%B7 6.9B %C2%B7 other - [DeepSeek Coder V2 Lite Instruct](/sl/models/deepseek-coder-v2-lite-instruct/) %E2%80%94 DeepSeek %C2%B7 15.7B %C2%B7 other - [DeepSeek R1 0528](/sl/models/deepseek-r1-0528/) %E2%80%94 DeepSeek %C2%B7 684.5B %C2%B7 mit - [DeepSeek V2 Lite](/sl/models/deepseek-v2-lite/) %E2%80%94 DeepSeek %C2%B7 15.7B %C2%B7 other - [DeepSeek V3](/sl/models/deepseek-v3/) %E2%80%94 DeepSeek %C2%B7 unknown - [DeepSeek V3 0324](/sl/models/deepseek-v3-0324/) %E2%80%94 DeepSeek %C2%B7 684.5B %C2%B7 mit - [DeepSeek V3.1](/sl/models/deepseek-v3-1/) %E2%80%94 DeepSeek %C2%B7 684.5B %C2%B7 mit - [DeepSeek V4 Flash](/sl/models/deepseek-v4-flash/) %E2%80%94 DeepSeek %C2%B7 290.9B %C2%B7 mit - [DeepSeek V4 Pro](/sl/models/deepseek-v4-pro/) %E2%80%94 DeepSeek %C2%B7 1598.8B %C2%B7 mit - [DeepSeek V4.1 Flash](/sl/models/deepseek-v4-1-flash/) %E2%80%94 DeepSeek %C2%B7 763.2B %C2%B7 mit - [DeepSeek-R1](/sl/models/deepseek-r1/) %E2%80%94 DeepSeek %C2%B7 684.49B %C2%B7 128K %C2%B7 mit - [DeepSeek-R1-Distill-Qwen-32B](/sl/models/deepseek-r1-distill-qwen-32b/) %E2%80%94 DeepSeek %C2%B7 32.76B %C2%B7 128K %C2%B7 mit - [DeepSeek-V3.2](/sl/models/deepseek-v3-2/) %E2%80%94 DeepSeek %C2%B7 685.36B %C2%B7 160K %C2%B7 mit - [DeepSeek-V4-Flash (0731)](/sl/models/deepseek-v4-flash-0731/) %E2%80%94 DeepSeek %C2%B7 304.18B %C2%B7 1024K %C2%B7 mit - [Devstral Small 2 (24B)](/sl/models/devstral-small-2-24b/) %E2%80%94 Mistral AI %C2%B7 24.01B %C2%B7 256K %C2%B7 apache-2.0 - [Gemma 4 26B A4B IT](/sl/models/gemma-4-26b-a4b-it/) %E2%80%94 Google DeepMind %C2%B7 25.81B %C2%B7 256K %C2%B7 apache-2.0 - [Gemma 4 31B IT](/sl/models/gemma-4-31b-it/) %E2%80%94 Google DeepMind %C2%B7 31.27B %C2%B7 256K %C2%B7 apache-2.0 - [GLM 4.5](/sl/models/glm-4-5/) %E2%80%94 Z.ai (Zhipu AI) %C2%B7 358.3B %C2%B7 mit - [GLM 4.5 Air](/sl/models/glm-4-5-air/) %E2%80%94 Z.ai (Zhipu AI) %C2%B7 110.5B %C2%B7 mit - [GLM 4.6](/sl/models/glm-4-6/) %E2%80%94 Z.ai (Zhipu AI) %C2%B7 356.8B %C2%B7 mit - [GLM 5](/sl/models/glm-5/) %E2%80%94 Z.ai (Zhipu AI) %C2%B7 753.9B %C2%B7 mit - [GLM 5.1](/sl/models/glm-5-1/) %E2%80%94 Z.ai (Zhipu AI) %C2%B7 753.9B %C2%B7 mit - [GLM 5.2](/sl/models/glm-5-2/) %E2%80%94 Z.ai (Zhipu AI) %C2%B7 753.3B %C2%B7 mit - [GLM 5.3 Flash](/sl/models/glm-5-3-flash/) %E2%80%94 Z.ai (Zhipu AI) %C2%B7 321.3B %C2%B7 mit - [GLM-4.7-Flash](/sl/models/glm-4-7-flash/) %E2%80%94 Z.ai (Zhipu AI) %C2%B7 31.22B %C2%B7 198K %C2%B7 mit - [GLM-5.3](/sl/models/glm-5-3/) %E2%80%94 Z.ai (Zhipu AI) %C2%B7 753.33B %C2%B7 1024K %C2%B7 other - [gpt-oss-120b](/sl/models/gpt-oss-120b/) %E2%80%94 OpenAI %C2%B7 116.83B %C2%B7 128K %C2%B7 apache-2.0 - [gpt-oss-20b](/sl/models/gpt-oss-20b/) %E2%80%94 OpenAI %C2%B7 20.91B %C2%B7 128K %C2%B7 apache-2.0 - [Kimi K2 Instruct](/sl/models/kimi-k2-instruct/) %E2%80%94 Moonshot AI %C2%B7 1026.4B %C2%B7 other - [Kimi K2 Instruct 0905](/sl/models/kimi-k2-instruct-0905/) %E2%80%94 Moonshot AI %C2%B7 1026.5B %C2%B7 other - [Kimi K2 Thinking](/sl/models/kimi-k2-thinking/) %E2%80%94 Moonshot AI %C2%B7 1026.4B %C2%B7 other - [Kimi K2.5](/sl/models/kimi-k2-5/) %E2%80%94 Moonshot AI %C2%B7 1026.9B %C2%B7 other - [Kimi K2.6](/sl/models/kimi-k2-6/) %E2%80%94 Moonshot AI %C2%B7 1026.9B %C2%B7 other - [Kimi K2.7 Code](/sl/models/kimi-k2-7-code/) %E2%80%94 Moonshot AI %C2%B7 1026.9B %C2%B7 other - [Kimi K3](/sl/models/kimi-k3/) %E2%80%94 Moonshot AI %C2%B7 2779.9B %C2%B7 other - [Magistral Small 1.2](/sl/models/magistral-small-1-2/) %E2%80%94 Mistral AI %C2%B7 24.01B %C2%B7 128K %C2%B7 apache-2.0 - [MiniMax M2](/sl/models/minimax-m2/) %E2%80%94 MiniMax %C2%B7 228.7B %C2%B7 other - [MiniMax M2.1](/sl/models/minimax-m2-1/) %E2%80%94 MiniMax %C2%B7 228.7B %C2%B7 other - [MiniMax M2.5](/sl/models/minimax-m2-5/) %E2%80%94 MiniMax %C2%B7 228.7B %C2%B7 other - [MiniMax M3](/sl/models/minimax-m3/) %E2%80%94 MiniMax %C2%B7 427B %C2%B7 other - [Mistral Large 3 (675B)](/sl/models/mistral-large-3-675b/) %E2%80%94 Mistral AI %C2%B7 675B %C2%B7 256K %C2%B7 apache-2.0 - [Mistral Small 4 (119B-A6B)](/sl/models/mistral-small-4-119b-a6b/) %E2%80%94 Mistral AI %C2%B7 119.4B %C2%B7 256K %C2%B7 apache-2.0 - [North Mini Code 1.0](/sl/models/north-mini-code-1-0/) %E2%80%94 Cohere %C2%B7 30.5B %C2%B7 apache-2.0 - [NVIDIA Nemotron 3 Super 120B-A12B](/sl/models/nemotron-3-super-120b-a12b/) %E2%80%94 NVIDIA %C2%B7 123.61B %C2%B7 256K %C2%B7 other - [NVIDIA Nemotron 3 Ultra 550B-A55B](/sl/models/nemotron-3-ultra-550b-a55b/) %E2%80%94 NVIDIA %C2%B7 560.5B %C2%B7 other - [Phi 4 Reasoning](/sl/models/phi-4-reasoning/) %E2%80%94 Microsoft %C2%B7 14.7B %C2%B7 mit - [Qwen2.5 Coder 14B Instruct](/sl/models/qwen2-5-coder-14b-instruct/) %E2%80%94 Alibaba Qwen %C2%B7 apache-2.0 - [Qwen2.5 Coder 32B Instruct](/sl/models/qwen2-5-coder-32b-instruct/) %E2%80%94 Alibaba Qwen %C2%B7 apache-2.0 - [Qwen2.5 Coder 7B Instruct](/sl/models/qwen2-5-coder-7b-instruct/) %E2%80%94 Alibaba Qwen %C2%B7 apache-2.0 - [Qwen3 30B A3B Instruct 2507](/sl/models/qwen3-30b-a3b-instruct-2507/) %E2%80%94 Alibaba Qwen %C2%B7 apache-2.0 - [Qwen3 32B](/sl/models/qwen3-32b/) %E2%80%94 Alibaba Qwen %C2%B7 32.8B %C2%B7 apache-2.0 - [Qwen3 4B Instruct 2507](/sl/models/qwen3-4b-instruct-2507/) %E2%80%94 Alibaba Qwen %C2%B7 4B %C2%B7 apache-2.0 - [Qwen3 Coder 480B A35B Instruct](/sl/models/qwen3-coder-480b-a35b-instruct/) %E2%80%94 Alibaba Qwen %C2%B7 apache-2.0 - [Qwen3 Coder Next](/sl/models/qwen3-coder-next/) %E2%80%94 Alibaba Qwen %C2%B7 apache-2.0 - [Qwen3 Next 80B A3B Instruct](/sl/models/qwen3-next-80b-a3b-instruct/) %E2%80%94 Alibaba Qwen %C2%B7 apache-2.0 - [Qwen3 Next 80B A3B Thinking](/sl/models/qwen3-next-80b-a3b-thinking/) %E2%80%94 Alibaba Qwen %C2%B7 apache-2.0 - [Qwen3-Coder-30B-A3B-Instruct](/sl/models/qwen3-coder-30b-a3b-instruct/) %E2%80%94 Alibaba Qwen %C2%B7 30.53B %C2%B7 256K %C2%B7 apache-2.0 - [Qwen3.8-27B](/sl/models/qwen3-8-27b/) %E2%80%94 Alibaba Qwen %C2%B7 27.78B %C2%B7 256K %C2%B7 apache-2.0 - [Yi-Coder 9B](/sl/models/yi-coder-9b/) %E2%80%94 01.AI %C2%B7 8.8B %C2%B7 apache-2.0 - [Yi-Coder 9B Chat](/sl/models/yi-coder-9b-chat/) %E2%80%94 01.AI %C2%B7 8.8B %C2%B7 apache-2.0 [open-weights](/sl/use/open-weights/) %C2%B7[eu-builders](/sl/use/eu-builders/) %C2%B7[german](/sl/use/german/) %C2%B7[french](/sl/use/french/) %C2%B7[long-context](/sl/use/long-context/) %C2%B7[rag](/sl/use/rag/) %C2%B7[vision](/sl/use/vision/) %C2%B7[audio](/sl/use/audio/) %C2%B7[apache-2](/sl/use/apache-2/) %C2%B7[self-hostable](/sl/use/self-hostable/) %C2%B7[catalogue-only](/sl/use/catalogue-only/)