China’s DeepSeek has once again disrupted the artificial intelligence landscape. The Hangzhou-based company quietly released its DeepSeek V4 preview this week, bringing two new open-source models that challenge the dominance of OpenAI‘s ChatGPT, Google‘s Gemini, and Anthropic‘s Claude.
This latest DeepSeek V4 preview arrives as a direct competitor to the most advanced proprietary AI systems. The company has released two versions: V4-Pro (Expert mode) and V4-Flash (Instant mode). Both models share a massive one-million-token context window, allowing them to process entire books or extensive codebases in a single session.
DeepSeek V4 Pro Specifications and Performance
The V4-Pro model is a behemoth with 1.6 trillion total parameters, though it activates only 49 billion during inference. This efficiency allows it to rival top closed-source models while remaining accessible to developers. The smaller V4-Flash variant features 284 billion total parameters with 13 billion active, making it more practical for local deployment.
Both models are available on Hugging Face for download. However, running V4-Pro locally demands significant VRAM resources. The V4-Flash version offers a more realistic option for individual developers and smaller teams.
According to DeepSeek’s official announcement, the V4-Pro achieves a Codeforces rating of 3,206, surpassing GPT-5.4‘s 3,168 and Gemini 3.1’s 3,052. This positions it as the strongest open model for competitive programming tasks currently available.
How DeepSeek V4 Performs Against ChatGPT, Gemini, and Claude
Coding and Agentic Task Benchmarks
On LiveCodeBench, the V4-Pro scores 93.5 percent, outperforming Claude Opus 4.6’s 88.8 percent and Gemini’s 91.7 percent. For agentic tasks measured by Toolathlon, it achieves 51.8 percent, beating both Claude (47.2 percent) and Gemini (48.8 percent). The V4-Flash variant matches the Pro version on simpler agent tasks while consuming far less compute power.
However, the DeepSeek V4 preview does not lead in every category. Claude’s Opus 4.6 remains superior in long-context retrieval, scoring 92.9 percent on MRCR 1M compared to V4-Pro’s 83.5 percent. GPT-5.4 still tops Terminal Bench 2.0 with 75.1 percent accuracy versus V4-Pro’s 67.9 percent.
Mathematical Reasoning Capabilities
In mathematical reasoning, the results are mixed. V4-Pro achieves 95.2 percent on HMMT 2026 Math, slightly behind Claude’s 96.2 percent and GPT-5.4’s 97.7 percent. On IMOAnswerBench, it scores 89.8 percent, outperforming Claude (75.3 percent) and GPT-5.4 (91.4 percent) but trailing Gemini.
Cost Advantage: DeepSeek Disrupts AI Pricing
Where DeepSeek V4 preview truly changes the game is pricing. The V4-Pro costs just $3.48 per million output tokens. Compare this to OpenAI’s $30 and Anthropic’s $25 for equivalent workloads. That represents a cost reduction of roughly 85 to 90 percent.
This enormous gap makes DeepSeek extremely attractive for developers building AI-powered applications. For startups and enterprises alike, the savings could be transformative. The open-source nature of both models also eliminates vendor lock-in concerns.
Building on this pricing advantage, DeepSeek has positioned itself as the budget-friendly alternative to American AI giants. The company’s strategy mirrors its previous releases, which similarly undercut competitors on price while delivering competitive performance.
What This Means for the AI Industry
The arrival of the DeepSeek V4 preview signals a shift in the AI landscape. Open-source models are no longer just alternatives—they are direct competitors to proprietary systems. With performance matching or exceeding GPT-5.4 and Claude Opus 4.6 in key areas, DeepSeek proves that open development can rival closed ecosystems.
For developers, this means more choices and lower costs. The ability to download and run these models locally offers privacy advantages that cloud-based services cannot match. However, the hardware requirements for V4-Pro remain a barrier for many users.
Looking ahead, DeepSeek’s aggressive pricing and open-source approach will likely pressure competitors to reduce their own costs. The AI industry may see a price war similar to what happened in cloud computing over the past decade.
For more insights on AI model comparisons, check out our guide on the best AI models of 2026. You can also explore top open-source AI tools for developers and how AI pricing compares across providers.
