
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.
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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.

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.

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.

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.

Google's Gemini 3.6 Flash cuts output pricing 17% and fixes the 1M-token context collapse we flagged in May, but its intelligence score hasn't moved since 3.5 Flash.

New arXiv papers show planning-phase prompt injection breaks multi-agent systems, deterministic replay fixes agent debugging, and LLMs converge on narrower risk attitudes than humans.

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.

Alibaba's 2.4 trillion parameter preview claims it trails only Claude Fable 5. I tested it for free at chat.qwen.ai and found a capable but slow model with zero benchmarks to back the claim.

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 dethroned Claude Fable 5 atop LMArena's Frontend Code Arena at a third of the price, but Fable 5 still leads on general intelligence and most agentic work.

Moonshot AI's Kimi K3 jumped 17 spots to #1 on LMArena's Frontend Code Arena, but the win comes with a tripled price tag and a weaker showing on broader intelligence benchmarks.

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.