AI BENCHY श्रेणी
निर्देश पालन रैंकिंग
देखें कि निर्देश पालन में कौन से AI मॉडल सबसे अच्छा प्रदर्शन करते हैं, कौन से भरोसेमंद बने रहते हैं और सबसे बड़े अंतर कहाँ दिखाई देते हैं। क्रमबद्ध करें: सही परीक्षण ↑.
संबंधित विफलता कारण
| रैंक | मॉडल | कंपनी | निर्देश पालन स्कोर | औसत स्कोर | सही परीक्षण | प्रतिक्रिया समय (औसत) |
|---|---|---|---|---|---|---|
| #40 | Qwen3.5-122B-A10B none | Qwen | 4.5 | 5.0 | 0/2 | 585ms |
| #41 | Qwen3.5-27B none | Qwen | 4.5 | 4.9 | 0/2 | 815ms |
| #45 | Trinity Large Preview none | Arcee AI | 3.5 | 4.2 | 0/2 | 1.09s |
| #47 | GPT-4o-mini none | OpenAI | 4.5 | 4.0 | 0/2 | 1.27s |
| #48 | Qwen3 Coder Next none | Qwen | 4.5 | 4.0 | 0/2 | 7.71s |
| #50 | Qwen3 Coder Next medium | Qwen | 4.5 | 3.5 | 0/2 | 7.34s |
| #53 | Grok 4.1 Fast none | X AI | 10.0 | 2.9 | 0/2 | 923ms |
| #55 | LFM2-24B-A2B none | Liquid | 4.5 | 2.6 | 0/2 | 1.09s |
| #8 | Gemini 3.1 Flash Lite Preview high | 9.0 | 8.2 | 1/2 | 70.1s | |
| #13 | Step 3.5 Flash medium | Stepfun | 9.0 | 7.4 | 1/2 | 4.98s |
| #15 | GPT-5.2 Chat none | OpenAI | 6.0 | 7.4 | 1/2 | 5.46s |
| #19 | GPT-5.3 Chat none | OpenAI | 9.0 | 7.3 | 1/2 | 3.29s |
| #20 | Gemini 3 Flash Preview none | 5.5 | 7.2 | 1/2 | 1.58s | |
| #25 | Claude Sonnet 4.6 none | Anthropic | 5.5 | 6.8 | 1/2 | 1.96s |
| #30 | Grok 4.1 Fast medium | X AI | 5.5 | 6.2 | 1/2 | 5.30s |
| #32 | GPT-5 Mini medium | OpenAI | 7.5 | 6.0 | 1/2 | 15.7s |
| #34 | GPT-5 Nano medium | OpenAI | 9.0 | 5.5 | 1/2 | 11.9s |
| #37 | Qwen3.5-Flash none | Qwen | 5.0 | 5.2 | 1/2 | 8.81s |
| #38 | Gemini 2.5 Flash none | 9.0 | 5.2 | 1/2 | 672ms | |
| #42 | Qwen3.5-35B-A3B none | Qwen | 5.0 | 4.7 | 1/2 | 809ms |
| #43 | MiniMax M2.5 medium | Minimax | 8.0 | 4.7 | 1/2 | 4.64s |
| #44 | GPT-5.4 none | OpenAI | 5.5 | 4.5 | 1/2 | 1.07s |
| #46 | Kimi K2.5 none | Moonshot AI | 5.5 | 4.1 | 1/2 | 2.67s |
| #49 | GLM 4.7 Flash none | Z.ai | 5.5 | 3.9 | 1/2 | 888ms |
| #51 | Mercury 2 none | Inception | 5.5 | 3.4 | 1/2 | 551ms |
| #52 | GLM 4.7 Flash medium | Z.ai | 5.0 | 3.1 | 1/2 | 2.97s |
| #54 | MiMo-V2-Flash none | Xiaomi | 5.5 | 2.9 | 1/2 | 857ms |
| #1 | Gemini 3 Flash Preview medium | 10.0 | 10.0 | 2/2 | 6.10s | |
| #2 | Gemini 3.1 Pro Preview medium | 10.0 | 9.4 | 2/2 | 9.56s | |
| #3 | GPT-5.3-Codex medium | OpenAI | 10.0 | 8.4 | 2/2 | 3.04s |
| #4 | Qwen3.5 Plus 2026-02-15 medium | Qwen | 10.0 | 8.3 | 2/2 | 31.9s |
| #5 | Gemini 3 Flash Preview low | 9.5 | 8.2 | 2/2 | 7.02s | |
| #6 | Gemini 3 Pro Preview medium | 9.5 | 8.2 | 2/2 | 3.26s | |
| #7 | Qwen3.5-27B medium | Qwen | 10.0 | 8.2 | 2/2 | 19.7s |
| #9 | GPT-5.4 medium | OpenAI | 10.0 | 8.0 | 2/2 | 3.11s |
| #10 | Qwen3.5-122B-A10B medium | Qwen | 10.0 | 7.7 | 2/2 | 9.88s |
| #11 | Claude Sonnet 4.6 medium | Anthropic | 10.0 | 7.7 | 2/2 | 2.61s |
| #12 | Gemini 3.1 Flash Lite Preview medium | 10.0 | 7.5 | 2/2 | 1.91s | |
| #14 | GLM 5 medium | Z.ai | 10.0 | 7.4 | 2/2 | 7.25s |
| #16 | Gemini 2.5 Flash medium | 9.5 | 7.4 | 2/2 | 2.62s | |
| #17 | Gemini 3.1 Flash Lite Preview low | 10.0 | 7.3 | 2/2 | 1.49s | |
| #18 | DeepSeek V3.2 medium | DeepSeek | 10.0 | 7.3 | 2/2 | 35.8s |
| #21 | MiMo-V2-Flash medium | Xiaomi | 10.0 | 7.2 | 2/2 | 4.28s |
| #22 | Gemini 3.1 Flash Lite Preview none | 10.0 | 7.1 | 2/2 | 1.13s | |
| #23 | Seed-2.0-Mini medium | Bytedance Seed | 10.0 | 6.9 | 2/2 | 17.5s |
| #24 | Qwen3.5-Flash medium | Qwen | 10.0 | 6.9 | 2/2 | 63.5s |
| #26 | Claude Opus 4.6 medium | Anthropic | 10.0 | 6.6 | 2/2 | 2.43s |
| #27 | GPT-5.2 medium | OpenAI | 9.5 | 6.5 | 2/2 | 3.12s |
| #28 | Kimi K2.5 medium | Moonshot AI | 10.0 | 6.4 | 2/2 | 92.5s |
| #29 | Qwen3.5 Plus 2026-02-15 none | Qwen | 10.0 | 6.2 | 2/2 | 1.67s |
| #31 | GLM 5 none | Z.ai | 10.0 | 6.0 | 2/2 | 1.48s |
| #33 | DeepSeek V3.2 none | DeepSeek | 10.0 | 5.5 | 2/2 | 1.52s |
| #35 | Qwen3.5-35B-A3B medium | Qwen | 10.0 | 5.5 | 2/2 | 24.4s |
| #36 | Mercury 2 medium | Inception | 10.0 | 5.3 | 2/2 | 1.07s |
| #39 | gpt-oss-120b medium | OpenAI | 9.5 | 5.1 | 2/2 | 7.63s |