Model Comparison
(85 articles)AGI Ranker Audit: Every LLM Score Dropped 6-15 Points
A self-audit of the AGI Ranker leaderboard exposed scoring bias that inflated every model by 6-15 points. Here's what the correction actually revealed.
Mistral Medium 3.5 vs 3: 7 Real Upgrades That Matter
A no-fluff breakdown of what actually changed between Mistral Medium 3.5 and Medium 3, from reasoning gains to pricing shifts, and which one you should pick.
GPT-5.6 Luna vs GPT-5 mini: 7 Upgrades That Matter
OpenAI's new small tier lands with a 1M token context and improved tool calling. Is the upgrade from GPT-5 mini worth it? A data-driven breakdown of what...
GPT-5.6 Sol vs Claude Fable 5: The 2026 Coding Verdict
Claude Fable 5 posts a self-reported 95.5% SWE-bench score while GPT-5.6 Sol pushes reasoning further. So which model actually ships better code in 2026? A...
LLM Agents Flop at Coordination: Inside the ALEM Benchmark
A new open-ended coordination benchmark tests 13 LLMs across communication, trading, crafting, and combat. Most agents average just 6% normalised return.
Apple SpeechAnalyzer vs Whisper: Benchmark Verdict
Apple's new SpeechAnalyzer API landed in iOS 26 with big claims. Benchmark data from Inscribe puts it head-to-head with Whisper and the old SFSpeechRecognizer....
Qwen 3.7 Plus vs 3.6 Plus: 7 Real Upgrades in 2026
A no-fluff breakdown of what actually changed between Qwen 3.7 Plus and Qwen 3.6 Plus, from reasoning gains to pricing shifts and coding wins.
DeepSeek V4 Pro vs V3: 7 Upgrades That Matter
DeepSeek V4 Pro replaces V3 with 1M-token context, a 1.6T-parameter MoE, and native reasoning modes. Here's which upgrades matter — and where V3 still wins on...
Qwen 3.7 Max Review: The Best Coding Value of 2026?
An honest look at Qwen 3.7 Max for coding: benchmarks, pricing versus Claude and GPT, real-world agent workflows, and whether the Alibaba frontier model is...
DeepSeek V4-Flash vs V3.2: 7 Real Differences That Matter
A hands-on look at DeepSeek V4-Flash vs V3.2. What actually changed in speed, coding, context, and pricing, and whether the upgrade is worth it for your...
REAP Explained: Real Coding Benchmarks From Live Agent Traffic
REAP mines production coding agent sessions to build execution-based benchmarks. On the Harvest benchmark it produced, frontier models solve 42.9%-58.2% — well...
ScarfBench: IBM's Brutal Test for Java Migration AI
IBM Research's ScarfBench puts AI coding agents through real enterprise Java framework migrations. The results show a big gap between demo-day hype and...