Compare models

Pick up to 4models. Specs render side-by-side. Share the URL — it's stateless.

Comparing agents instead? Switch to agent compare →

Selected

Gemini Omni×

DeepSeek-V4-Pro×

Mistral Large 2×

Qwen3.7-Max×Clear all

	Gemini Omni Google	DeepSeek-V4-Pro DeepSeek	Mistral Large 2 Mistral	Qwen3.7-Max Alibaba
Vendor	Google	DeepSeek	Mistral	Alibaba
Family	Gemini	DeepSeek	Mistral	Qwen
Release date	2026-05-20	2026-04-22	2024-07-24	2026-05-20
Context window	1,000,000 tokens	1,000,000 tokens	128,000 tokens	1,000,000 tokens
Parameters	—	1.6T (49B active)	123B	—
Modality	text, vision, audio, video	text	text	text
License	proprietary	MIT	Mistral Research License	proprietary
Source	proprietary	open weights	open weights	proprietary
Description	Multimodal Gemini variant introduced at Google I/O 2026 — unified text, image, audio, and video processing in a single model.	DeepSeek's flagship open-weight MoE. 1.6T parameters with 49B activated, 1M-token context, and a hybrid attention scheme (CSA + HCA) that delivers long-context inference at ~27% of V3.2's FLOPs.	Large text-only Mistral model with a 128K context window and 123B parameters, tuned for strong instruction following and long-context reasoning. Mistral's flagship open-weights release in the Large 2 line.	Alibaba's flagship agent model — 1M-token context, extended-thinking mode, 56.6 on the Artificial Analysis Intelligence Index v4.0 (5th overall, #1 Chinese). 50.8% on Terminal-Bench Hard. Designed for long-horizon agent workloads (hundreds-to-thousands of steps). Closed-weight, $2.50/$7.50 per 1M tokens.
Links	vendor →	weights →	vendor →weights →	vendor →
Benchmarks
MMLU-Pro	—	84.2%	—	83.7%
GPQA-D	—	82.4%	—	83.0%
HumanEval	—	95.1%	89.0%	93.9%
Aider	—	80.1%	—	78.4%
AIME-25	—	88.6%	—	90.4%
LiveCB	—	72.4%	—	71.0%
MMMU	82.5%	—	—	—