Articles Tagged "Long Context"

Qwen3.8-Max

Alibaba's 2.4 trillion parameter flagship ships with real pricing and a published benchmark table, but the open-weight release it promised for this week still hasn't shown up.

Google DeepMind's cheapest paid Gemini tier prices input at $0.30/M and output at $2.50/M tokens, more than doubling OSWorld-Verified and Terminal-Bench 2.1 scores over Gemini 3.1 Flash-Lite while trailing GPT-5.4 mini on raw coding benchmarks.

Ling-3.0-flash

InclusionAI's Ling-3.0-flash packs 124B parameters into a 5.1B-active hybrid-linear MoE that Ant Group claims matches its 1T flagship - but shipped with zero independently verifiable benchmark numbers.

This Week in AI Research: Knowledge, Speed, Agent Risk

Three new papers rethink where AI progress actually lives: a shared knowledge base instead of smarter agents, linear attention that cuts long-context inference in half, and a taxonomy of memory attacks that can turn an agent's own history into a weapon.

Qwen3.8-Max-Preview

Alibaba's 2.4 trillion parameter multimodal MoE model claims to trail only Claude Fable 5, but ships with no model card, no benchmark table, and no confirmed pricing.

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.

Gemini 2.5 Flash

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.