Models

Nemotron 3 Nano Omni

Nemotron 3 Nano Omni

NVIDIA's first open omni-modal model: 30B total / 3B active hybrid Mamba-MoE that processes text, images, audio, and video in a single inference loop, with 9x higher throughput than comparable open omni models.

Mistral Medium 3.5

Mistral Medium 3.5

Mistral's first flagship merged model: a dense 128B with configurable reasoning, vision, and 77.6% SWE-Bench Verified, self-hostable on 4 GPUs.

DeepSeek V4

DeepSeek V4

DeepSeek V4 ships in two open-weight MoE variants - V4-Pro at 1.6T/49B active and V4-Flash at 284B/13B active - both with 1M-token context and MIT license, released April 24, 2026.

Ideogram 3.0

Ideogram 3.0

Ideogram 3.0 is Ideogram AI's most capable text-to-image model, leading the field in typography accuracy at ~90-95% and offering production-ready API access at $0.03-$0.09 per image.

GPT-5.5

GPT-5.5

OpenAI's first fully retrained base model since GPT-4.5, targeting agentic coding, computer use, and knowledge work at $5/$30 per million tokens.

Grok 4.3

Grok 4.3

Grok 4.3 Beta adds native video input and document generation to xAI's flagship, with a confirmed 0.5T-parameter checkpoint and 2M-token context window, at $300/month for SuperGrok Heavy subscribers.

Qwen3.6-27B

Qwen3.6-27B

Qwen3.6-27B is a 27B dense open-weight multimodal model from Alibaba that scores 77.2% on SWE-bench Verified - beating Alibaba's own 397B MoE - under Apache 2.0.

GLM-5.1

GLM-5.1

Z.ai's GLM-5.1 is an open-weight 754B MoE model that tops SWE-Bench Pro with 58.4, sustains 8-hour autonomous coding sessions, and runs under MIT license at $0.95/M input tokens.

GPT Image 2

GPT Image 2

GPT Image 2 (ChatGPT Images 2.0) brings 99%+ text accuracy, 2K resolution, web-search grounding, and a Thinking mode for character-consistent storyboards.

ERNIE 5.0

ERNIE 5.0

Baidu's ERNIE 5.0 combines 2.4 trillion parameters with native omni-modal design, landing at LMArena's top-10 globally and outpacing GPT-5 High on chart and document benchmarks.

EXAONE 4.5

EXAONE 4.5

LG AI Research's first open-weight vision-language model packs 33B parameters, 262K context, and STEM scores above GPT-5-mini - but ships under a non-commercial license.

Qwen3.5-Omni

Qwen3.5-Omni

Alibaba's Qwen3.5-Omni takes text, images, audio, and video as input and streams both text and speech output in a single end-to-end model with a 256K context window.