explore | Grilled Cheese

📊 DeepSeek V3.2 Exp (Non-reasoning) — the actual numbers

GPQA: 73.8%
MMLU-Pro: 83.6%
Humanity's Last Exam: 9%
Long Context Reasoning: 44.7%

💰 44.1 intelligence points per dollar

Measured independently, not self-reported →https://olud.ai/leaderboard.html

Cua looks like a real bet on the boring parts of agent infrastructure
https://papoo.work/doc/a6baceaaed1f9be9
#claudenews #agents #computer_use #benchmarks

BenchMIRT method breaks down LLM benchmark scores to unveil underlying capabilities. 🔍🧠 #LLM #Benchmarks #Research

Cua looks like a real bet on the boring parts of agent infrastructure
https://papoo.work/doc/a6baceaaed1f9be9
#claudenews #agents #computer_use #benchmarks

Try: "Qwen3 4B (Non-reasoning) posts 39.8% GPQA, 58.6% MMLU-Pro, 3.3% Humanity's Last Exam, 23.3% LiveCodeBench. These aren't vendor claims — they're measured

https://olud.ai/leaderboard.html

#LLM #Benchmarks #OpenSource #AI

Cua looks like a real bet on the boring parts of agent infrastructure
https://papoo.work/doc/a6baceaaed1f9be9
#claudenews #agents #computer_use #benchmarks

📊 Qwen3 Max Thinking’s independent benchmarks: GPQA 86.1%, Humanity’s Last Exam just 28%. That gap shows where its reasoning still falls short. See the full data set →

https://olud.ai/leaderboard.html

#LLM #Benchmarks #OpenSource #AI

Cua looks like a real bet on the boring parts of agent infrastructure
https://papoo.work/doc/a6baceaaed1f9be9
#claudenews #agents #computer_use #benchmarks

FRONTIER LEADERBOARD: the strongest proprietary AI models right now.
1. gemini-3.6-flash — google
2. claude-sonnet-4-5 — anthropic
3. gemini-3.1-pro — google
4. gemini-2.5-pro — google
5. claude-haiku-4-5 — anthropic
Ranked by LMArena human votes.

#AI #benchmarks

Cua looks like a real bet on the boring parts of agent infrastructure
https://papoo.work/doc/a6baceaaed1f9be9
#claudenews #agents #computer_use #benchmarks