DeepSeek-V4.1-Flash-1017 vs Space Bunny Alpha (Stealth)
A direct, empirical evaluation of DeepSeek-V4.1-Flash-1017 (DeepSeek) against Space Bunny Alpha (Stealth) (MiniMax (Unannounced Stealth Release via OpenRouter)).
DeepSeek-V4.1-Flash-1017
Developed by DeepSeek · Open-Weight Distilled Transformer (MIT License) parameters
Top-tier open-weight coding (81.6% SWE-bench Verified), concise reasoning traces with 32% lower token bloat, and fast consumer GPU self-hosting.
Space Bunny Alpha (Stealth)
Developed by MiniMax (Unannounced Stealth Release via OpenRouter) · Proprietary Omni-Modal Frontier Architecture parameters
Massive 512K output codebases, single-shot 3D voxel world generation, native audio/video multimodal debugging, and high-context software synthesis.
| Metric | DeepSeek-V4.1-Flash-1017 | Space Bunny Alpha (Stealth) |
|---|---|---|
| SWE-bench Verified | 81.6% | 65.4% |
| MMLU-Pro | 92.8% | 86.2% |
| MATH-500 | 94.8% | 92.8% |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Input Pricing (per 1M) | $0.14 | $0.00 |
| Output Pricing (per 1M) | $0.28 | $0.00 |
Architectural & Practical Deployment Analysis
Evaluating DeepSeek-V4.1-Flash-1017 (DeepSeek) alongside Space Bunny Alpha (Stealth) (MiniMax (Unannounced Stealth Release via OpenRouter)) highlights key technical trade-offs across neural parameter scale and compute efficiency. DeepSeek-V4.1-Flash-1017 executes across Open-Weight Distilled Transformer (MIT License) total parameters with Multi-Head Latent Attention (MLA) Core active per token, whereas Space Bunny Alpha (Stealth) operates on Proprietary Omni-Modal Frontier Architecture parameters with Dynamic Multimodal MoE Core active per token.
On SWE-bench Verified software engineering tasks, DeepSeek-V4.1-Flash-1017 achieves 81.6% autonomous resolution rate, compared to 65.4% for Space Bunny Alpha (Stealth). On complex reasoning benchmarks, DeepSeek-V4.1-Flash-1017 posts 92.8% on MMLU-Pro and 94.8% on MATH-500, against 86.2% and 92.8% respectively for Space Bunny Alpha (Stealth).
From an operational economics perspective, processing 10,000,000 mixed tokens (7M input / 3M output) costs approximately $1.82 on DeepSeek-V4.1-Flash-1017 versus $0.00 on Space Bunny Alpha (Stealth).
Recommendation: Deploy DeepSeek-V4.1-Flash-1017 when your infrastructure prioritizes top-tier open-weight coding (81.6% swe-bench verified), concise reasoning traces with 32% lower token bloat, and fast consumer gpu self-hosting.. Deploy Space Bunny Alpha (Stealth) when workload requirements favor massive 512k output codebases, single-shot 3d voxel world generation, native audio/video multimodal debugging, and high-context software synthesis..