DeepSeek R1
Open reasoning model with o1-class performance at fraction of cost.
Pricing
Specifications
Benchmark Scores
Strengths
- Reasoning at low cost
- Open weights available
Weaknesses
- No vision
- Slower inference
- 64K context
Historical Intelligence
Pricing, context, and benchmark trends over time
Pricing History
Input and output price per million tokens over time
Context Window Growth
Context window tokens over time
Coding Score Progress
Benchmark score over time (0–100)
Reasoning Score Progress
Benchmark score over time (0–100)
DeepSeek R1 Evolution
Combined pricing trend and benchmark performance
DeepSeek R1 vs related models
Capability radar vs semantically related catalog models
Intelligence Graph
Provider hub →Provider Overview
DeepSeek develops highly efficient MoE and reasoning models that rival frontier closed models at a fraction of the cost, with open-weight options available.
5 models tracked · Documentation
Related Models
Computed from benchmark, pricing, and capability similarity
DeepSeek V3
Highly efficient MoE model rivaling frontier closed models.
Why: same provider (DeepSeek), similar coding performance
Confidence92%DeepSeek V3 0324
Updated V3 with improved instruction following and 128K context.
Why: same provider (DeepSeek), similar coding performance
Confidence92%OpenAI o3 Mini
Efficient reasoning model in the o3 family.
Why: similar coding performance, similar reasoning scores
Confidence92%DeepSeek V4
Next-gen DeepSeek general model emphasizing coding and cost efficiency.
Why: same provider (DeepSeek), similar coding performance
Confidence90%DeepSeek Coder V2
Code-specialized DeepSeek for programming tasks.
Why: same provider (DeepSeek), similar coding performance
Confidence86%Llama 3.1 405B
Largest open-weight Llama for maximum capability.
Why: similar pricing tier
Confidence85%
Recommended Comparisons
Side-by-side analysis with semantically similar models
DeepSeek R1 vs DeepSeek V3
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (DeepSeek), similar coding performance
Confidence92%DeepSeek R1 vs DeepSeek V3 0324
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (DeepSeek), similar coding performance
Confidence92%DeepSeek R1 vs OpenAI o3 Mini
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, similar reasoning scores
Confidence92%DeepSeek R1 vs DeepSeek V4
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (DeepSeek), similar coding performance
Confidence90%DeepSeek R1 vs DeepSeek Coder V2
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (DeepSeek), similar coding performance
Confidence86%DeepSeek R1 vs Llama 3.1 405B
Side-by-side pricing, benchmarks, and capabilities
Why: similar pricing tier
Confidence85%
Best Alternatives
Higher-scoring models with similar capability profiles
Claude 4 Opus
Anthropic flagship for the most demanding tasks.
Why: +19 overall benchmark score, similar coding performance, similar reasoning scores
Confidence70%GPT-5
OpenAI flagship GPT-5 generation for general and agentic workloads.
Why: +18 overall benchmark score, similar coding performance, similar reasoning scores
Confidence69%Claude Opus 4.1
Anthropic's latest Opus-class model for deep reasoning, coding, and long-form analysis.
Why: +18 overall benchmark score, similar coding performance, similar reasoning scores
Confidence68%Claude 4 Sonnet
Latest Sonnet with improved reasoning and tool use.
Why: +17 overall benchmark score, similar coding performance, similar reasoning scores
Confidence78%
Cheaper Alternatives
Lower-cost models with comparable attributes
DeepSeek V3
Highly efficient MoE model rivaling frontier closed models.
Why: Saves $1.37/M combined tokens vs DeepSeek R1
Confidence92%DeepSeek V3 0324
Updated V3 with improved instruction following and 128K context.
Why: Saves $1.37/M combined tokens vs DeepSeek R1
Confidence92%DeepSeek V4
Next-gen DeepSeek general model emphasizing coding and cost efficiency.
Why: Saves $1.24/M combined tokens vs DeepSeek R1
Confidence90%DeepSeek Coder V2
Code-specialized DeepSeek for programming tasks.
Why: Saves $2.32/M combined tokens vs DeepSeek R1
Confidence86%
Related Calculators
AI Cost Calculator
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Why: Estimate costs for DeepSeek R1
Token Counter
Convert between words and estimated token counts.
Why: Token estimation for prompt workloads
Inference Latency Estimator
Project response times based on output tokens and throughput.
Why: reasoning latency tier estimation
Context Window Utilization
Calculate how much of a model's context window you're consuming.
Why: 64K context window analysis
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Timeline Highlights
Latest Releases
Recent launches from related providers