실시간 애플리케이션에 가장 적합한 AI 모델
랭킹은 이 사용 사례와의 관련성에 따라 가중된 여러 벤치마크 점수를 결합합니다.
빠른 답변
1. GLM-5.3 Flash (Z.ai, 점수: 84.6), 2. HyperNova 60B (Multiverse, 점수: 84.4), 3. Qwen3.8 Flash Next (Alibaba, 점수: 83.2).
| # | 모델 | 공급자 | 점수 | 속도 | 가격 (출력) |
|---|---|---|---|---|---|
| 1 | GLM-5.3 Flash | Z.ai | 84.6 | 182 t/s | $0.3/M |
| 2 | HyperNova 60B | Multiverse | 84.4 | 367 t/s | $0.14/M |
| 3 | Qwen3.8 Flash Next | Alibaba | 83.2 | 168 t/s | $0.4/M |
| 4 | GPT-6 Sol (Non-reasoning) | OpenAI | 81.1 | 265 t/s | $4/M |
| 5 | Gemini 3.8 Flash | 80.1 | 302 t/s | $3.75/M | |
| 6 | Gemini 3.8 Flash (Medium Reasoning) | 80.1 | 315 t/s | $3.75/M | |
| 7 | Gemini 3.8 Flash (Low Reasoning) | 80.1 | 340 t/s | $3.75/M | |
| 8 | LFM2.5-8B-A1B | Liquid AI | 79.8 | 338 t/s | $2/M |
| 9 | LFM2.5-VL-1.6B | Liquid AI | 79.8 | 395 t/s | $2/M |
| 10 | GPT-6 Sol (xhigh) | OpenAI | 77.8 | 210 t/s | $4/M |
| 11 | GPT-6 Sol | OpenAI | 77.8 | 220 t/s | $4/M |
| 12 | GPT-6 Sol (high) | OpenAI | 77.8 | 226 t/s | $4/M |
| 13 | GPT-6 Sol (medium) | OpenAI | 77.8 | 238 t/s | $4/M |
| 14 | GPT-6 Sol (low) | OpenAI | 77.8 | 250 t/s | $4/M |
| 15 | Granite 4.2 3B Instruct | IBM | 76.6 | 148 t/s | $0.2/M |
GLM-5.3 Flash
Qwen3.8 Flash Next
GPT-6 Sol (Non-reasoning)
Gemini 3.8 Flash
LFM2.5-8B-A1B
Granite 4.2 3B Instruct