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AI Performance, page 2

Speed, quality and cost efficiency of AI models and tools, and how to read benchmark results

Earlier articles, page 2

Earlier articles in AI Performance, newest first.

Yutori Navigator n2: $1.46 per OSWorld-v2 Task and the Training Behind It

Yutori's 27-billion-parameter Navigator n2 led four of five computer-use benchmarks. OSWorld-v2 API cost: about $1.46 a task, versus $15 to over $40 for frontier models. It mixes GUI control, Python or shell code and API calls, using each where it fits. Agents generated over 10,000 verified training tasks; failures steer later rounds. Test it on your own workflows: cost per finished task, tool choices, error recovery.

AI Performance

Jev Email Triage Shows the Cost Case for AI Model Routing

Jev sorted 100 emails for $0.00196 in 23 seconds; Claude Fable 5.1 cost $0.14811. They agreed on 89 of 100 emails; agreement isn't accuracy, so check your own sample. Use Jev for yes-no, pick-one or rating calls; leave writing and reasoning to Claude. Escalate low-confidence calls, such as those under 60%, to Claude or a person. Keep sensitive data off standard accounts; zero data retention is enterprise-only.

AI Performance

GPT-6 Sol vs GPT-5.6 Sol: Faster Results, Uneven Token Savings

In 3D tests, GPT-6 Sol always beat GPT-5.6 Sol on speed and usually on visuals. Golden Gate Bridge: 11 minutes 35 seconds versus 1 hour 4 minutes, half the tokens. Water Lilies took 17.1 million tokens versus 9.4 million, yet finished sooner. GPT-6 Sol's roughly $0.40 per task is an estimate, not a measured cost. Don't default to max reasoning: test Low or Medium and log tokens, time and cost.

AI Performance

AI Video Models in 2026: Strengths by Scene and Cost

Seedance 2.5 topped a blind five-scene test but costs 65 credits per 10-second clip. Kling 3.0, at 17.5 credits, gave the best acting and steadiest starting-image shots. Gemini Omni Flash missed clear directions; Happy Horse struggled to chain actions. Draft dialogue in Kling 3.0; pick Seedance 2.5 for exact directions or physics. Tiers are one evaluator's call; test your scene at a common duration and resolution.

AI Performance

Local AI Speed by Budget: What Three Hardware Tiers Deliver

Memory size decides which model fits; bandwidth largely decides how fast it runs. A used 12GB RTX 3060, $300 to $400, runs a Q4 8B model at 40 to 50 tokens a second. An RTX 3090 with 24GB or a 48GB Mac mini runs a 27B model for coding agents. Plan on 128GB for 120B models; a DGX Spark ran one at about 40 tokens a second. Without a strict privacy need, a $20 to $60 monthly cloud plan may serve you better.

AI Performance

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