DeepSeek: R1
DeepSeek • LLM#315 of 668 in intelligence
DeepSeek-TNG-R1T2-Chimera is the second-generation Chimera model from TNG Tech. It is a 671 B-parameter mixture-of-experts text-generation model assembled from DeepSeek-AI’s R1-0528, R1, and V3-0324 checkpoints with an Assembly-of-Experts merge. The...
Specifications
Context Window
64K tokens
Input Price/1M
$1.35
#613 of 806
Output Price/1M
$3.00
Parameters
—
Speed
36 tok/s
#386 of 651
Latency (TTFT)
1.1s
Max Output
16K tokens
Cost per Task
7.4
AA Score / US$ · higher = better
Benchmarks
DeepSeek: R1 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 61.7 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 85.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 96.6 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 68.0 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LMArena Elo | 1398.0 | 2000.0 | Crowdsourced blind pairwise comparisons |
| AA Intelligence Index | 13.1 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 84.4 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 70.8 | 100.0 | Artificial Analysis official API |
| HLE | 15.0 | 100.0 | — |
Information
- Release date
- May 28, 2025
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: DeepSeek: R1
What is DeepSeek: R1?
DeepSeek: R1 is an AI model developed by DeepSeek, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 64K tokens, it is suitable for processing medium-sized documents like articles, reports, and code sections.
Pricing & Costs in 2026
DeepSeek: R1 is usage-based, priced at $1.35/1M input tokens and $3/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
DeepSeek: R1 was evaluated on 9 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
DeepSeek: R1 is suitable for a wide range of AI applications: automation with tool calling (API integration, databases, external systems), complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, DeepSeek: R1 competes directly with similarly capable models. DeepSeek competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is DeepSeek: R1?
DeepSeek-TNG-R1T2-Chimera is the second-generation Chimera model from TNG Tech. It is a 671 B-parameter mixture-of-experts text-generation model assembled from DeepSeek-AI’s R1-0528, R1, and V3-0324 checkpoints with an Assembly-of-Experts merge. The...
How much does DeepSeek: R1 cost?
DeepSeek: R1 costs $1.35/1M input tokens and $3/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does DeepSeek: R1 compare with other models?
In available benchmarks, DeepSeek: R1 scored: LiveCodeBench: 61.7/100, MMLU-Pro: 85/100, MATH-500: 96.6/100. See the full table above for a detailed comparison.
Is DeepSeek: R1 open source?
Yes, DeepSeek: R1 is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is DeepSeek: R1 best for?
DeepSeek: R1 excels at complex reasoning and problem solving. It supports tool calling for API integrations and automation.
Last updated: October 16, 2026 • View methodology →