Articles Tagged "Multimodal"

Qwen3.5-27B

Qwen3.5-27B

Qwen3.5-27B is a 27B dense model that matches GPT-5-mini on SWE-bench (72.4) and posts the best coding and instruction-following scores in the Qwen 3.5 medium lineup. Apache 2.0 licensed.

Qwen3.5-35B-A3B

Qwen3.5-35B-A3B

Qwen3.5-35B-A3B is a 35B-parameter MoE model activating just 3B parameters per token that surpasses the previous Qwen3-235B flagship across language, vision, and agent benchmarks. Apache 2.0 licensed.

Qwen3.5-Flash

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.

Gemini 3.1 Pro

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.

Gemini 2.5 Pro

Gemini 2.5 Pro

Google DeepMind's flagship thinking model with 1M-token context, 84% GPQA Diamond, and native multimodal understanding of text, images, audio, and video.

OpenAI o4-mini

OpenAI o4-mini

OpenAI o4-mini is a fast, cost-efficient reasoning model in the o-series, delivering near-o3 performance on math and coding benchmarks at roughly 10x lower cost.