DeepSeek

DeepSeek R1legacyOpen

The open reasoning model that reshaped the frontier in early 2025.

#704released May 27, 2025·Open Weights·671B (37B active MoE)
text163.8K ctxreasoning
API providersGet API Key →Leaderboard
Intelligence
5.4 #704
Top 92% tier
Output Speed
60 t/s
ITL 16.7 ms/tok
Blended price (3:1)
$0.478 /1M
In $0.27/M · Out $1.1/M
Context
163.8K
≈ 410 A4 pages · max out 16,384

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

DeepSeek R1
Claude Mythos Preview (#1)
Average (68)
Coding (20)Mathematics (15)Hard Science (GPQA) (15)Agentic & Tool Use (20)Knowledge (MMLU) (5.4)Vision / Multimodal (25)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

Strengths & Trade-offs

Where it wins

  • Open weights — self-host, fine-tune and audit with no vendor lock-in
  • Very low blended price — $0.478/1M mixed tokens
  • Cheap prompt-cache reads at $0.027/1M
  • Reasoning mode with adjustable effort levels

Trade-offs to watch

  • Legacy tier — a newer successor is available

Killer Use Cases

Whole-repo analysis
Single-pass ingestion of large codebases, contracts or research corpora.

Developer Quickstart & API

Set DEEPSEEK_API_KEY first — get an API key
curl https://api.deepseek.com/v1/chat/completions \
  -H "Authorization: Bearer $DEEPSEEK_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "deepseek-r1",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

Official Resources & Links

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Category Scores

Benchmark Results

Live Specs & Architecture

Under the hood
Mixture-of-Experts · 671B (37B active MoE)
  • Mixture-of-Experts routing — only a fraction of total parameters is active per token.
  • Switchable reasoning effort — trading latency and tokens for accuracy on hard problems.
  • Prompt caching supported — cached input reads at $0.027/1M tokens.
Release date
May 27, 2025
Architecture
Mixture-of-Experts · 671B (37B active MoE)
Parameters
671B (37B active MoE)
License
Open Weights
Context Window
163,800 tokens
Max Output
16,384 tokens
Modalities
text
Cache Pricing
read $0.027 · write $0.3375 /1M
Reasoning
Effort levels
Input Price
$0.27/M
Output Price
$1.1/M
Output Speed
60 t/s
Time to First Token
—
Data Updated
Aug 5, 2026
Hardware & Local Inference
Data: Convly AI (CC BY 4.0) ↗
VRAM (4-bit Q4)
400 GB
Min GPU
Multi-GPU server

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

GitHub Markdown badge
Loading badge markdown...
BibTeX
@misc{llmpodium2026deepseekr1,
  title = {Benchmark Analysis and Intelligence Evaluation of DeepSeek R1},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/deepseek-r1}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

Preview
DeepSeek R1 LLMPodium Score
Markdown
Loading badge snippet...
HTML
Loading badge snippet...

More from DeepSeek

Alternative Models

Closest alternatives to DeepSeek R1 based on capabilities, pricing, and benchmark scores.

0 / 4