Articles Tagged "Benchmarks"

Qwen3-VL-235B-A22B

Qwen3-VL-235B-A22B

Alibaba's flagship open-weight vision-language MoE beats every proprietary model on DocVQA at 96.5% and MathVista at 85.8%, but trails GPT-5.4 and Gemini 3.1 Pro on broad MMMU-Pro reasoning.

Qwen2.5-VL-72B-Instruct

Qwen2.5-VL-72B-Instruct

Alibaba's dense 72B vision-language model tops the open-weight DocVQA leaderboard at 96.4% and remains the default self-hosted choice for document and chart understanding.

Best AI for Document Understanding - July 2026

Best AI for Document Understanding - July 2026

Qwen3-VL-235B-A22B and Qwen2.5-VL-72B lead DocVQA above 96%, but the bigger story in July 2026 is that frontier labs have quietly stopped publishing comparable scores for their newest models.

Gemini 3.6 Flash

Gemini 3.6 Flash

Google DeepMind's workhorse Flash model cuts output tokens 17% versus Gemini 3.5 Flash, drops output pricing to $7.50/M, and cuts DeepSWE task tokens by 65% while trailing GPT-5.6 Luna and Grok 4.5 on raw coding scores.

Hailuo 02

Hailuo 02

MiniMax's Hailuo 02 pairs a physics-aware architecture with some of the cheapest per-second video pricing in the industry, though newer rivals have since passed it on raw quality.

Kimi K3 Review: Best at Code, Worse at Honesty

Kimi K3 Review: Best at Code, Worse at Honesty

Moonshot's Kimi K3 tops LMArena's Frontend Code Arena and undercuts Opus 4.8 on cost per task, but a tripled price tag, a rising hallucination rate, and an unresolved distillation question complicate the win.

Kimi K3

Kimi K3

Moonshot AI's Kimi K3 is a 2.8 trillion parameter MoE model that tops LMArena's Frontend Code Arena and nears Claude Fable 5 on intelligence benchmarks, but at roughly triple Kimi K2.6's price and a higher hallucination rate.