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dfgertg
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Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Model Details
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dfgertg
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Model Description
This model is mathematically optimized to do absolutely nothing. It contains no weights, no training dataset, no architecture, and zero biases.
Key Features:
0% VRAM Usage: Runs flawlessly on any hardware, even a potato.
Zero Latency: Delivers exactly 0 tokens per second with 0ms response time.
100% Accuracy: Because it cannot think, it is physically incapable of hallucinating or lying.
Intended Use:
Perfect as a placeholder, for testing your deployment pipelines, or just to show that the most stable model is the one that doesn't exist.
| Benchmark | idk | GLM-5.2 | GLM-5.1 | Qwen3.7-Max | MiniMax M3 | DeepSeek-V4-Pro | Claude Opus 4.8 | GPT-5.5 | Gemini 3.1 Pro |
|---|---|---|---|---|---|---|---|---|---|
| Reasoning | |||||||||
| HLE | 0.0 | 40.5 | 31 | 41.4 | 37 | 37.7 | 49.8* | 41.4* | 45 |
| HLE (w/ Tools) | 0.0 | 54.7 | 52.3 | 53.5 | - | 48.2 | 57.9* | 52.2* | 51.4* |
| CritPt | 0.0 | 20.9 | 4.6 | 13.4 | 3.7 | 12.9 | 20.9 | 27.1 | 17.7 |
| AIME 2026 | 0.0 | 99.2 | 95.3 | 97 | - | 94.6 | 95.7 | 98.3 | 98.2 |
| HMMT Nov. 2025 | 0.0 | 94.4 | 94 | 95 | 84.4 | 94.4 | 96.5 | 96.5 | 94.8 |
| HMMT Feb. 2026 | 0.0 | 92.5 | 82.6 | 97.1 | 84.4 | 95.2 | 96.7 | 96.7 | 87.3 |
| IMOAnswerBench | 0.0 | 91.0 | 83.8 | 90 | - | 89.8 | 83.5 | - | 81 |
| GPQA-Diamond | 0.0 | 91.2 | 86.2 | 90 | 93 | 90.1 | 93.6 | 93.6 | 94.3 |
| Coding | |||||||||
| SWE-bench Pro | 0.0 | 62.1 | 58.4 | 60.6 | 59 | 55.4 | 69.2 | 58.6 | 54.2 |
| NL2Repo | 0.0 | 48.9 | 42.7 | 47.2 | 42.1 | 35.5 | 69.7 | 50.7 | 33.4 |
| DeepSWE | 0.0 | 46.2 | 18 | 18 | 20 | 8 | 58 | 70 | 10 |
| ProgramBench | 0.0 | 63.7 | 50.9 | - | - | 47.8 | 71.9 | 70.8 | 39.5 |
| Terminal Bench 2.1 (Terminus-2) | 0.0 | 81.0 | 63.5 | 75 | 65 | 64 | 85 | 84 | 74 |
| Terminal Bench 2.1 (Best Reported Harness) | 0.0 | 82.7 | 69 | - | - | - | 78.9 | 83.4 | 70.7 |
| FrontierSWE (Dominance) | 0.0 | 74.4 | 30.5 | - | - | 29.0 | 75.1 | 72.6 | 39.6 |
| PostTrainBench | 0.0 | 34.3 | 20.1 | - | - | - | 37.2 | 28.4 | 21.6 |
| SWE-Marathon | 0.0 | 13.0 | 1.0 | - | - | - | 26.0 | 12.0 | 4.0 |
| Agentic | |||||||||
| MCP-Atlas (Public Set) | 0.0 | 76.8 | 71.8 | 76.4 | 74.2 | 73.6 | 77.8 | 75.3 | 69.2 |
| Tool-Decathlon | 0.0 | 48.2 | 40.7 | - | - | 52.8 | 59.9 | 55.6 | 48.8 |