
LongCat-2.0
Meituan's 1.6T-parameter open-source MoE coding model, trained end-to-end on 50,000 domestic Chinese ASICs, with native 1M token context and a 59.5 SWE-bench Pro score.
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Meituan's 1.6T-parameter open-source MoE coding model, trained end-to-end on 50,000 domestic Chinese ASICs, with native 1M token context and a 59.5 SWE-bench Pro score.

Anthropic's latest Sonnet-class model brings near-Opus coding performance to mid-tier pricing, with major agentic search and computer use gains over Sonnet 4.6.

Google DeepMind's upcoming flagship model with a 2M-token context window and Deep Think reasoning, announced at Google I/O 2026 and expected in July.

Alibaba's first multimodal agent model, combining GUI grounding (ScreenSpot Pro 79.0), 1M-token context, and text-plus-vision input at $0.40/M tokens.

Zhipu AI's GLM-5.2 ships with 1M token context, 744B MoE parameters, and MIT license the day after Fable 5 goes offline - but no benchmark numbers at launch.

Z.ai's GLM-5.2 is a 744B open-weight MoE model with a 1M token context window, MIT license, and first-day support for eight coding agents at roughly 1/10th the cost of US frontier models.

Microsoft's first in-house reasoning model, a 35B-active sparse MoE with 256K context, 97% on AIME 2025, and no distillation from third-party labs.

Claude Fable 5 delivers the strongest coding and long-context results Anthropic has ever shipped publicly, but its safety classifiers block enough legitimate work to make that power conditional.

MiniMax M3 uses sparse attention to cut long-context inference cost 20x, topping GPT-5.5 on coding benchmarks at a fraction of the price.

NVIDIA's 550B open-weight MoE model with 55B active parameters, hybrid Mamba-Transformer architecture, and 1M token context - the top-scoring US open model on the Artificial Analysis Intelligence Index.

MiniMax M3 arrives as the first open-weight model to combine frontier coding, 1M-token context, and native multimodality - at a fraction of proprietary pricing - but every benchmark figure is self-reported and the weights weren't even shipped at launch.

MiniMax M3 is an open-weight frontier model with a 1M-token context window, native multimodal input, and strong agentic coding at $0.60/M input tokens.