Articles Tagged "Long Context"

Qwen3.6-Plus

Alibaba's 1M-token flagship agentic coding model posts 78.8% on SWE-bench Verified and undercuts Kimi K2.6 and Claude Opus on price, but ships with no weights and a mandatory reasoning tax.

Gemini 3 Pro

Google DeepMind's Gemini 3 Pro debuted at 1501 Elo on LMArena with 91.9% on GPQA Diamond and a 1M-token context window, before Google retired it for Gemini 3.1 Pro.

Google's hybrid reasoning workhorse pairs a 1M-token context window with $0.30/$2.50 per million token pricing and a toggleable 0-24,576 token thinking budget, now heading toward an October 2026 shutdown.

Grok 4.1 Fast

Grok 4.1 Fast is xAI's agent-optimized model with a 2M-token context window, #1 ranking on tau-bench Telecom, and one of the lowest input prices among frontier-adjacent APIs at $0.20/M tokens.

LongCat-2.0 Review: China's Stealth Coder

Meituan's 1.6T open-source coding model secretly topped OpenRouter for two months before revealing itself - and the price-to-performance math is hard to argue with.

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.

Claude Sonnet 5

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.

Gemini 3.5 Pro

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.

Qwen3.7-Plus

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.

GLM-5.2 Ships MIT-Licensed, 1M Context, Zero Benchmarks

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.

GLM-5.2

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.

MAI-Thinking-1

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.