Code Language Models
Pretraining and fine-tuning language models on source code for completion, infilling, generation and repair.
Tier Grades
Tier A: Frontier AI labs
feasible
Meta, Alibaba, DeepSeek and Mistral pretrain code models on trillions of tokens (StarCoder2: up to 4.3 trillion).
Tier B: Indonesian AI labs
stretch
Pretraining on 3 to 4 trillion tokens (StarCoder2) is a stretch; fine-tuning an open code model is not; Indonesian lab capacity is not in the sources.
Tier C: Institution units such as ITB
stretch
StarCoder2 needed a 66-author open collaboration, a stretch for one institution unit.
Tier D: Organisations such as SEMAI (PoT, PoC, PoV)
feasible
Open 7B to 15B code models (StarCoder2, Code Llama) serve completion and code assistance proofs of concept.
Where this comes from
Tiers: a) frontier AI labs, b) Indonesian AI labs, c) institution units such as ITB, d) organisations such as SEMAI delivering proof of technology, concept and value. Each rationale cites the anchors below.
Anchors
- ComputeStarCoder2: 3B, 7B and 15B models on 3.3 to 4.3 trillion tokens. Code Llama: 7B, 13B, 34B and 70B, trained on 16k-token sequences.
- DataThe Stack v2 from the Software Heritage archive, 619 programming languages, 4 times larger than the first StarCoder dataset.
- Team size (proxy)Proxy only (author count of an exemplar paper, not a headcount): 66 authors on StarCoder2; 26 on Code Llama.
- Time horizonMonths.
- Shelf-life signalsGeneral LLMs absorbing code ability (IBM folds coding into Granite 4.2), Open code models from 7B to 30B as completion engines in IDEs
- Pipeline roleTier A and open collaborations pretrain code models; Tier C fine-tunes and evaluates them; Tier D deploys them as assistants in client proofs of value.
Where this comes from
Team size is a proxy (author counts of exemplar papers), not a headcount.
Who and What
Exemplars
Observed actors
Linked models
DeepSeek-Coder-V2codeexemplar
StarCoder2-15Bcodeexemplar
Code Llamacodeexemplar
Qwen2.5-Codercodeexemplar
Mellum2.1-12B-A2.5B-Thinkingcodeproduced by
Laguna S 2.1codeproduced by
GLM-5.2LLMproduced by
North Mini Codecodeproduced by
Kimi K2.7 Codecodeproduced by
Composer 2.5codeproduced by
Composer 2codeproduced by
GPT-5.3-Codexcodeproduced by
Qwen3-Coder-Nextcodeproduced by
GPT-5.1-Codex-Maxcodeproduced by
Devstral 2 (123B, 2512)codeproduced by
Devstral Small 2 (24B, 2512)codeproduced by
GPT-5.1-Codexcodeproduced by
GPT-5.1-Codex-Minicodeproduced by
KAT-Coder-Pro V1codeproduced by
grok-code-fast-1codeproduced by
Codestral 25.08codeproduced by
Qwen3-Codercodeproduced by
DiffuCoder 7B Instructcodeproduced by+41
Devstral Medium 1.0codeproduced by
Devstral Small 1.1codeproduced by
SWE-agent-LM-32Bcodeproduced by
OpenHands LM 32B v0.1codeproduced by
Qwen3-Coder-30B-A3B-Instructcodeproduced by
Qwen3-Coder-480B-A35B-Instructcodeproduced by
SWE-Gym agentscodeproduced by
Qwen2.5-Coder 14Bcodeproduced by
Qwen2.5-Coder-32B-Instructcodeproduced by
Qwen2.5-Coder 1.5Bcodeproduced by
Qwen2.5-Coder 7Bcodeproduced by
Granite 8B Code Instruct 128Kcodeproduced by
DeepSeek-Coder-V2-Basecodeproduced by
Granite 20B Code Instruct 8Kcodeproduced by
Granite 34B Code Instruct 8Kcodeproduced by
Granite Codecodeproduced by
CodeGemmacodeproduced by
CodeGemma 2Bcodeproduced by
CodeGemma 7Bcodeproduced by
CodeGemma 7B ITcodeproduced by
Mamba-Codestral-7B-v0.1codeproduced by
CodeGen2.5 7B multicodeproduced by
CodeGen 6B multicodeproduced by
CodeGencodeproduced by
CodeT5 basecodeproduced by
Composercodeproduced by
MAI-Code-1.1-Flashcodeproduced by
Codestralcodeproduced by
Devstralcodeproduced by
Code Llama 13B Instructcodeproduced by
Code Llama 34B Pythoncodeproduced by
Code Llama 70B Instructcodeproduced by
Code Llama 7Bcodeproduced by
codex-mini-latestcodeproduced by
GPT-5.2-Codexcodeproduced byLinks
R&D TopicCode Language Models
Models
Qwen2.5-CoderAlibaba (Qwen), code
StarCoder2-15BBigCode (Hugging Face and ServiceNow), code
DeepSeek-Coder-V2DeepSeek, code
Code LlamaMeta, code+61 more
Qwen2.5-CoderAlibaba (Qwen), code
StarCoder2-15BBigCode (Hugging Face and ServiceNow), code
DeepSeek-Coder-V2DeepSeek, code
Code LlamaMeta, code+61 moreUse Casesnone recorded
Who Runs Itnone recorded
Models 65
DevstralMistral AI, codeproduced by
GLM-5.2Z.ai (Zhipu), LLMproduced by
Code LlamaMeta, codeexemplar
Composer 2.5Anysphere (Cursor), codeproduced by
GPT-5.1-CodexOpenAI, codeproduced by
Qwen2.5-CoderAlibaba (Qwen), codeexemplar
Qwen3-CoderAlibaba (Qwen), codeproduced by
CodeGemmaGoogle, codeproduced by
ComposerAnysphere (Cursor), codeproduced by+53
Composer 2Anysphere (Cursor), codeproduced by
Devstral Small 2 (24B, 2512)Mistral AI, codeproduced by
GPT-5.1-Codex-MaxOpenAI, codeproduced by
GPT-5.2-CodexOpenAI, codeproduced by
Granite CodeIBM, codeproduced by
Qwen2.5-Coder-32B-InstructAlibaba (Qwen), codeproduced by
SWE-agent-LM-32BSWE-bench team (Princeton/Stanford), codeproduced by
CodeGenSalesforce, codeproduced by
CodestralMistral AI, codeproduced by
DeepSeek-Coder-V2-BaseDeepSeek, codeproduced by
Devstral 2 (123B, 2512)Mistral AI, codeproduced by
Devstral Medium 1.0Mistral AI, codeproduced by
Devstral Small 1.1Mistral AI, codeproduced by
GPT-5.1-Codex-MiniOpenAI, codeproduced by
GPT-5.3-CodexOpenAI, codeproduced by
grok-code-fast-1SpaceXAI (xAI), codeproduced by
KAT-Coder-Pro V1KwaiKAT, codeproduced by
Kimi K2.7 CodeMoonshot AI, codeproduced by
Mamba-Codestral-7B-v0.1Mistral AI, codeproduced by
North Mini CodeCohere, codeproduced by
OpenHands LM 32B v0.1All Hands AI, codeproduced by
Qwen3-Coder-30B-A3B-InstructAlibaba (Qwen), codeproduced by
Qwen3-Coder-480B-A35B-InstructAlibaba (Qwen), codeproduced by
Qwen3-Coder-NextAlibaba (Qwen), codeproduced by
Code Llama 13B InstructMeta, codeproduced by
Code Llama 34B PythonMeta, codeproduced by
Code Llama 70B InstructMeta, codeproduced by
Code Llama 7BMeta, codeproduced by
CodeGemma 2BGoogle, codeproduced by
CodeGemma 7BGoogle, codeproduced by
CodeGemma 7B ITGoogle, codeproduced by
CodeGen 6B multiSalesforce, codeproduced by
CodeGen2.5 7B multiSalesforce, codeproduced by
Codestral 25.08Mistral AI, codeproduced by
codex-mini-latestOpenAI, codeproduced by
DeepSeek-Coder-V2DeepSeek, codeexemplar
DiffuCoder 7B InstructApple, codeproduced by
Granite 20B Code Instruct 8KIBM, codeproduced by
Granite 34B Code Instruct 8KIBM, codeproduced by
Granite 8B Code Instruct 128KIBM, codeproduced by
Laguna S 2.1poolside, codeproduced by
MAI-Code-1.1-FlashMicrosoft AI, codeproduced by
Mellum2.1-12B-A2.5B-ThinkingJetBrains, codeproduced by
Qwen2.5-Coder 1.5BAlibaba (Qwen), codeproduced by
Qwen2.5-Coder 14BAlibaba (Qwen), codeproduced by
Qwen2.5-Coder 7BAlibaba (Qwen), codeproduced by
SWE-Gym agentsAll Hands AI, codeproduced by
CodeT5 baseSalesforce, codeproduced by
StarCoder2-15BBigCode (Hugging Face and ServiceNow), codeexemplarPapers
- Evaluating Large Language Models Trained on CodeMark Chen et al., arXiv preprint, 2021 founding
- DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code IntelligenceDaya Guo et al., arXiv preprint, 2024 state of the art
- StarCoder 2 and The Stack v2: The Next GenerationAnton Lozhkov et al., arXiv preprint, 2024 state of the art
- Qwen2.5-Coder Technical ReportBinyuan Hui et al., arXiv preprint, 2024 state of the art
- A Survey on Large Language Models for Code GenerationJuyong Jiang et al., arXiv preprint, 2024 survey
Where this comes from
The papers to read first: where the direction began, its current best, and a survey when one exists.
Sources
- arxiv.org/abs/2402.19173 https://arxiv.org/abs/2402.19173
- arxiv.org/abs/2308.12950 https://arxiv.org/abs/2308.12950
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Code Language Models", https://aurion.semai.id/topics/code-language-models/, records of October 2026.