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open source LLM Articles

Browse 7 articles about open source LLM.

Nanbeige4.3-33B: Benchmarks for the New Open Agentic Coding Model

Nanbeige4.3-33B's benchmark scores versus Qwen3.8-27B, Muse-Glimmer-30B, and Gemma4-31B on agentic coding and cowork tasks, explained.

Nanbeige4.3-33Bopen weight agentic modelTerminal-Bench

Nanbeige4.3-33B: A New Open Agentic Coding Model Benchmarked

Nanbeige4.3-33B is a 33B open-weight model claiming top agentic coding and cowork scores against Qwen3.8-27B and Gemma4-31B.

Nanbeige4.3-33Bopen weight agentic modelNanbeige benchmarks

Mistral Large 4 "Le Chonk": Pricing, Specs, and Benchmarks Explained

Mistral Large 4, nicknamed Le Chonk, is a trillion-parameter open-weight model. Here's its pricing, architecture, and how it stacks up on benchmarks.

Mistral Large 4Le ChonkMistral open weight model

MiMo V2.6: Xiaomi's Open Model Trained Live for $3.5M

Xiaomi's MiMo V2.6 Pro and Flash are open-weight models trained in a livestreamed RL run, rivaling GPT-5.6 and Claude Opus on coding benchmarks.

MiMo V2.6Xiaomi MiMoopen weight model

Tencent Hy4 Preview: Full Specs and How It Stacks Up to GLM 5.3, Kimi K3

Tencent's open-weight Hy4 preview MoE model edges out GLM 5.3 and Kimi K3 in blind engineering evals. Specs, architecture, and benchmarks explained.

Tencent Hy4 previewHy4 benchmarksGLM 5.3 vs Hy4

Tencent Hy4 Preview: A 770B MoE Model That Edges Out GLM-5.3

Tencent's Hy4 preview is a 770B-parameter, 49B-active MoE model with 1M context that beat GLM-5.3 and Kimi K3 in blind evals.

Tencent Hy4 previewHy4 MoE modelTencent Hunyuan

DeepSeek V4 Flash: The Cheapest Frontier-Level Open Model Yet

DeepSeek V4 Flash jumps to 54% on agentic coding benchmarks and rivals larger models, but harness choice explains much of the gain.

DeepSeek V4 FlashDeepSeek benchmarksopen source LLM