LLaDA 2.2-flash posts 592.8 on τ²-Bench and 705.3 in fast mode
omarsar0 · x · 2026-07-26
More benchmark numbers for LLaDA 2.2-flash show its agentic and long-context performance.
- τ²-Bench: 592.80 vs 334.90 on Ling-2.6-flash.
- In fast mode, the score rises to 705.30.
- The attached table also compares throughput across SWE-bench, BFCL-v4, AIME 2026, LiveCodeBench, IFBench, KOR-Bench, GPQA-Diamond, and LongBench-v2, with the FP8-quantized variant usually faster still.
More from Models
- GPT-6.1 Terra cuts factual error rate from 22.3% to 4.3%, an ~81% drop — haider1 · 2026-10-27
- GPT-6.1 Terra benchmarks: strong score under $1, but Claude Opus 5.5 still leads — 141_1337 · 2026-10-27
- ChatGPT 6 Terra benchmark charts surface, showing score-cost curves — 141_1337 · 2026-10-27
- GPT-6.1 Terra lands: early users praise speed, value and subagent performance — BenBajarin · 2026-10-27
- Leaked GPT-6.1 Terra benchmarks: cheap but 'boring', still far behind Astra and Claude — Angaisb_ · 2026-10-27
- Artificial Analysis Ships Intelligence Index v4.3.2 With GPT-6.1 Terra Comparison — ArtificialAnlys · 2026-10-27