DeepSeek Model1
Online Playground
Benchmark DeepSeek Model1 (R1) with FlashMLA. Compare reasoning capabilities against OpenAI o1 instantly.
π Your prompts are sent directly to DeepSeek API and are not stored by us.
Why DeepSeek Model1?
Next-generation AI reasoning with unprecedented efficiency.
Advanced Reasoning
Multi-step logical reasoning with chain-of-thought capabilities. Excels at math, coding, and complex problem-solving.
FlashMLA Speed
3x faster inference with optimized attention mechanism. Lower latency, higher throughput.
Extremely Affordable
$0.14 per 1M tokens. 100x cheaper than GPT-4, while matching or exceeding performance.
Open Source
Fully open weights and architecture. Deploy on your own infrastructure with complete control.
MoE Architecture
671B total parameters with only 37B activated per token. Efficient sparse computing.
128K Context
Process entire codebases, long documents, and complex conversations in a single prompt.
Model Comparison
See how DeepSeek Model1 stacks up against other leading AI models
| Feature | DeepSeek Model1R1 / V3 | GPT-4Turbo | OpenAI o1Preview |
|---|---|---|---|
| MATH-500 Score | 97.3% | 94.1% | 96.4% |
| HumanEval | 92.1% | 88.4% | 90.2% |
| MMLU | 91.8% | 90.2% | 92.0% |
| Context Window | 128K | 128K | 200K |
| Open Source | |||
| API Cost (per 1M tokens) | $0.14 | $30.00 | $15.00 |
| FlashMLA Support | |||
| Multi-step Reasoning |
* Benchmarks based on publicly available data. Performance may vary.
Frequently Asked Questions
Everything you need to know about DeepSeek Model1
Is DeepSeek Model1 released?
DeepSeek Model1 refers to DeepSeek's latest reasoning model lineup, including the R1 and V3 models. These are open-source and available via API.
What is FlashMLA?
FlashMLA (Flash Multi-head Latent Attention) is DeepSeek's optimized attention mechanism that provides up to 3x faster inference speed while reducing memory usage through latent compression.
How does Model1 compare to OpenAI o1?
DeepSeek Model1 achieves competitive or superior performance on benchmarks like MATH-500 (97.3% vs 96.4%) while being open-source and significantly cheaper ($0.14 vs $15 per 1M tokens).
Is there an API available?
Yes! DeepSeek provides official API access. You can also deploy Model1 on your own infrastructure using platforms like RunPod, Vultr, or AWS.
What's the context window size?
DeepSeek Model1 supports up to 128K tokens context window, allowing for long-form reasoning, document analysis, and extended conversations.
Ready to Experience Model1?
Start testing DeepSeek's most powerful reasoning model. Free, instant, no login required.