Alternatives to LFM2.5-24B-A2B

XHToken's efficient 4B open-weight model: hybrid sliding-window attention for native 1M-token context, strong coding and agent performance, Apache 2.0, multilingual.

NVIDIA's efficient open-weight 30B MoE hybrid model with 3B active parameters, 1M-token context, and single-GPU deployment for local reasoning and coding.

Agnes-3.0-Flash Preview is an Apache-2.0 33B multimodal open-weight checkpoint with 262k context, not the proprietary API model.

K2-Horizon-7B is an open-weight IFM language model with a 512K context window, tool calling, and released training checkpoints.

Liquid AI's open-weight 2.6B dense model trained for on-device agentic workloads, with 128K context and native tool calling.

Upstage's 35B mixture-of-experts model with 3B active parameters, a 512K context window, and $0.10 per million input tokens.

BAAI's 27B open-weight agent model for long-horizon self-improvement: reflect, measure, and revise across coding, ML engineering, and deep research with a 262K context.

DeepSeek flagship 1.6T MoE with 49B active, 1M context, MIT weights. API $0.29/$1.20 cached $0.03.

Liquid AI's 3B multimodal decision model for calibrated classification and edge-oriented image-text workflows.

OpenBMB MiniCPM5-2B is a dense 2B on-device LLM with 131k context, Apache-2.0 weights, and cookbooks for vLLM, SGLang, and llama.cpp.

Anthropic's frontier Opus model with 1M-token context and effort-controlled reasoning, near-Fable-5 intelligence at Opus-4.8 pricing for agents and coding.

SpaceXAI's Grok 4.7 flagship for coding and agents: 500K context, $1.60/$4.80 per 1M tokens, 46.4 on the Artificial Analysis index.

Moonshot AI's open-weight 2.8T multimodal agentic model with 1M-token context, the world's first open 3T-class model rivaling closed frontier models.

Inception's diffusion LLM: 260K context, parallel token generation at 1,107 tokens per second, and 80 percent off at $0.04 per million input tokens at launch.