DeepSeek V3.2 vs V4 - What Changes With a Trillion Parameters
A pre-release comparison of DeepSeek V3.2 and V4 - examining the generational leap from 671B text-only to a trillion-parameter natively multimodal model with 1M context.
Articles Tagged "Long Context"
Kimi K2.5 vs Llama 4 Scout: Benchmark King Meets Context King
Comparing Kimi K2.5 and Llama 4 Scout - Moonshot AI's benchmark-crushing trillion-parameter model versus Meta's 10-million-token context window specialist.
Gemini 2.5 Flash-Lite
Google's cheapest Gemini model pairs a 1M-token context window with $0.10/$0.40 per million token pricing, multimodal input, and 359 tokens/second throughput for high-volume production workloads.
GPT-4o mini
OpenAI's budget API workhorse pairs 128K context with $0.15/$0.60 per million token pricing, solid coding benchmarks, and the broadest third-party ecosystem of any small model.
Llama 4 Maverick
Meta's Llama 4 Maverick packs 400B total parameters into a 128-expert MoE architecture with only 17B active per token, beating GPT-4o on Chatbot Arena while matching DeepSeek V3 on reasoning at half the active parameters.
Llama 4 Scout
Meta's Llama 4 Scout is a 109B-total, 17B-active MoE model with 16 experts and a 10M-token context window - the longest of any open-weight model - with native multimodal support for text and images.
Nemotron 3 Nano 30B-A3B
NVIDIA's hybrid Mamba2+MoE model packs 31.6B total parameters but activates only 3.2B per token, delivering frontier-class reasoning with 3.3x the throughput of comparable models on a single H200 GPU.
Qwen3.5-Flash
Qwen3.5-Flash is Alibaba's hosted production model with 1M context, built-in tools, and multimodal support at $0.10/M input tokens - one of the cheapest frontier-tier APIs available.
Claude Opus 4.6
Anthropic's flagship model leads on agentic coding, enterprise knowledge work, and long-context retrieval with a 1M-token window, 128K output, and agent teams at $5/$25 per million tokens.
Gemini 3.1 Pro
Google DeepMind's Gemini 3.1 Pro leads on 13 of 16 benchmarks with 77.1% ARC-AGI-2, 94.3% GPQA Diamond, and a 1M-token context window at $2/M input.
AI Researcher Races to Kill OpenClaw After It Forgets a Rule and Bulk-Deletes Hundreds of Her Emails
A former Scale AI and DeepMind researcher told OpenClaw to only suggest email deletions. It hit a context limit, forgot the rule, and trashed hundreds of messages before she could stop it.
Long-Context Benchmarks Leaderboard: MRCR, RULER, and LongBench v2
Rankings of the best AI models for long-context tasks, measuring retrieval accuracy, reasoning, and comprehension across massive context windows from 128K to 10M tokens.
