Verdict
GLM-5.2 leads 3–0 across 3 shared benchmarks.
GLM-5.2 3 · Llama 3.1-405B 0 · higher isn't always better — check the caveats below.
Reported scores — protocols may differ. How we compare
Vendor claims — compare against the measured scores above. A claim is what a developer says about its own model, not an independent measurement.
Coding
“Advanced Coding with Flexible Effort: Stronger coding capabilities with multiple thinking effort levels to balance performance and latency”
Context Handling
“We propose IndexShare, which reuses the same indexer across every four sparse attention layers, reducing per-token FLOPs by 2.9x at a 1M context length.”
General
“Pure Open: An MIT open-source license - no regional limits, technical access without borders”
Context Handling
“These are multilingual and have a significantly longer context length of 128K, state-of-the-art tool use, and overall stronger reasoning capabilities.”
General
“Llama 3.1 405B is in a class of its own, with unmatched flexibility, control, and state-of-the-art capabilities that rival the best closed source models.”
“Llama 3.1 405B is the first openly available model that rivals the top AI models when it comes to state-of-the-art capabilities in general knowledge, steerability, math, tool use”
GLM-5.2 leads 3–0 across 3 shared benchmarks. GLM-5.2 leads 3 benchmarks and Llama 3.1-405B leads 0. Higher isn't always better — see the integrity caveats on each benchmark.
GLM-5.2 and Llama 3.1-405B have 3 benchmarks in common in our data — those are the only rows where a direct, apples-to-apples comparison is drawn.