B2B SaaS Provider
Magic vs SSI
Structured technology and market comparison · 2026
Direct Feature Comparison
Magic · vs · SSIFrontier code-model developer for autonomous software engineering and research.
Frontier AI lab developing safe superintelligence through alignment-focused research.
Analyze all overlapping signals and tech stacks for Magic and SSI
Compare mutual enterprise clients, monetization models, live market signals, and partner networks directly in the interactive Knowledge Graph.
Comparison Analysis
What is the main difference between Magic and SSI?
When comparing Magic and SSI, both platforms operate within the Large Language Models (LLM) & AI ecosystem. Magic is positioned as Frontier code-model developer for autonomous software engineering and research, whereas SSI focuses on Frontier AI lab developing safe superintelligence through alignment-focused research. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.
What are the top alternatives to Magic and SSI?
When evaluating Magic and SSI, enterprise buyers also consider other platforms in Large Language Models (LLM) & AI. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.
How do the corporate scale, structure, and headquarters of Magic and SSI compare?
Magic is headquartered in US (founded in 2022) with 50–200 employees. SSI is based in US (founded in 2024) with 50–200 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.
Market Signals
Recent Market Signals & Activity: Magic vs SSI
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
Magic
Recent Signals
- ·Trending Topics (DACH/CEE Innovation & Tech)AI
Magic AI Claims Frontier-Level Pretraining for Under $1M
Magic, an AI startup co-founded by Austrians Eric Steinberger and Sebastian De Ro, claims a major breakthrough in pretraining efficiency. Its new recipe reportedly matches DeepSeek V4 Pro's base model quality using 50x less compute, costing about $500,000 on Nvidia GB200 systems, and is over ten times more compute-efficient than leading open-weight models. Scaling to roughly $4 million, Magic says it outperforms all public base models on perplexity evaluations, comparing against DeepSeek V4 Pro, Kimi K2, and Nvidia's Nemotron 3 Ultra, while excluding closed models from Anthropic, Google, and OpenAI. The company has raised over $460 million, with a $320 million round valuing it at $1.5 billion, and partners with Google Cloud for tens of thousands of GB200 chips. Magic has not yet released a model, and all claims are self-reported.
- Magic claims its pretraining recipe matches DeepSeek V4 Pro's quality with 50x less compute, costing ~$0.5M on GB200, and is 10x more efficient than leading open models.
- Scaling the recipe to ~$4M, Magic says it beats all public base models on perplexity evaluations.
- Magic has raised over $460M, with a $320M round valuing it at $1.5B, and partners with Google Cloud for GB200 compute.
SSI
Recent Signals
- ·AI SecretAI
DeepSeek V4.1 Flash Beats Larger Model, Proving Ilya Right
Ilya Sutskever left OpenAI to found SSI and predicted the end of scaling. DeepSeek's new V4.1 Flash model, with a third of the parameters of its flagship V4-Pro, outperforms it on coding benchmarks (74.2 vs 62.7) while activating fewer parameters per token. Starting September 14, all V4-Pro requests route to V4.1 Flash. This validates the shift from model size to efficiency, marking a turning point in AI development.
- DeepSeek V4.1 Flash has 552 billion parameters, activating 8-16 billion per token, while V4-Pro has 1.6 trillion parameters, activating 49 billion.
- V4.1 Flash scores 74.2 vs V4-Pro's 62.7 on DeepSeek's coding tests.
- All V4-Pro requests are rerouted to V4.1 Flash starting September 14.
Compare their exact ecosystem overlaps.
Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners Magic and SSI share across the market ecosystem.
Unlock full capability matrix, client overlaps & technology stacks