On the Aider Polyglot leaderboard it's ~middle of the leading pack, comparable to DeepSeek V3 and 3.5 Sonnet. I ran NoLi(teral)Ma(tching), an unsaturated long-context benchmark, on it and was impressed though:
= Model =========== Base Score = 8K Context = 16K Context =
Quasar Alpha: >=97.8% 89.2% 85.1%
GPT-4o: 99.3% 89.2% 81.6%
Llama 3.3 70B: 97.3% 72.1% 59.5%
Gemini 1.5 Pro: 92.6% 63.9% 55.5%
Claude 3.5 Sonnet: 87.6% 61.7% 45.7%
Gemini 1.5 Flash: 84.7% 44.4% 35.5%
GPT-4o mini: 84.9% 32.6% 20.6%
Llama 3.1 8B: 76.7% 31.9% 22.6%
It also performs well - slightly better than GPT-o1 - on the "hard" subset at 16K context with 62.8%. Latency is quite good as well.More details: https://old.reddit.com/r/LocalLLaMA/comments/1ju1czn/quasar_...