DeepSeek V4
Next-gen DeepSeek general model emphasizing coding and cost efficiency.
Pricing
Specifications
Benchmark Scores
Strengths
- Very low cost
- Strong coding
- Open-weight path
Weaknesses
- Weaker multimodal
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 V4 Evolution
Combined pricing trend and benchmark performance
DeepSeek V4 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 0324
Updated V3 with improved instruction following and 128K context.
Why: same provider (DeepSeek), similar coding performance
Confidence93%DeepSeek V3
Highly efficient MoE model rivaling frontier closed models.
Why: same provider (DeepSeek), similar coding performance
Confidence92%Kimi K2
Prior Moonshot coding-strong MoE model, strong agent/tool use at competitive pricing.
Why: similar coding performance, similar reasoning scores
Confidence91%DeepSeek R1
Open reasoning model with o1-class performance at fraction of cost.
Why: same provider (DeepSeek), similar coding performance
Confidence90%DeepSeek Coder V2
Code-specialized DeepSeek for programming tasks.
Why: same provider (DeepSeek), similar coding performance
Confidence90%Codestral
Code-specialized Mistral model for IDE and agent use.
Why: similar coding performance, similar pricing tier
Confidence85%
Recommended Comparisons
Side-by-side analysis with semantically similar models
DeepSeek V4 vs DeepSeek V3 0324
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (DeepSeek), similar coding performance
Confidence93%DeepSeek V4 vs DeepSeek V3
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (DeepSeek), similar coding performance
Confidence92%DeepSeek V4 vs Kimi K2
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, similar reasoning scores
Confidence91%DeepSeek V4 vs DeepSeek R1
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (DeepSeek), similar coding performance
Confidence90%DeepSeek V4 vs DeepSeek Coder V2
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (DeepSeek), similar coding performance
Confidence90%DeepSeek V4 vs Codestral
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, similar pricing tier
Confidence85%
Best Alternatives
Higher-scoring models with similar capability profiles
Claude 4 Opus
Anthropic flagship for the most demanding tasks.
Why: +21 overall benchmark score, similar coding performance
Confidence62%GPT-5
OpenAI flagship GPT-5 generation for general and agentic workloads.
Why: +20 overall benchmark score, similar coding performance
Confidence73%Claude Opus 4.1
Anthropic's latest Opus-class model for deep reasoning, coding, and long-form analysis.
Why: +20 overall benchmark score, similar coding performance
Confidence64%Claude 4 Sonnet
Latest Sonnet with improved reasoning and tool use.
Why: +19 overall benchmark score, similar coding performance, similar reasoning scores
Confidence78%
Cheaper Alternatives
Lower-cost models with comparable attributes
DeepSeek V3 0324
Updated V3 with improved instruction following and 128K context.
Why: Saves $0.13/M combined tokens vs DeepSeek V4
Confidence93%DeepSeek V3
Highly efficient MoE model rivaling frontier closed models.
Why: Saves $0.13/M combined tokens vs DeepSeek V4
Confidence92%DeepSeek Coder V2
Code-specialized DeepSeek for programming tasks.
Why: Saves $1.08/M combined tokens vs DeepSeek V4
Confidence90%Codestral
Code-specialized Mistral model for IDE and agent use.
Why: Saves $0.30/M combined tokens vs DeepSeek V4
Confidence85%
Related Calculators
AI Cost Calculator
Estimate daily, monthly, and yearly API costs with provider and model selection.
Why: Estimate costs for DeepSeek V4
Inference Latency Estimator
Project response times based on output tokens and throughput.
Why: fast latency tier estimation
Token Counter
Convert between words and estimated token counts.
Why: Token estimation for prompt workloads
Context Window Utilization
Calculate how much of a model's context window you're consuming.
Why: 164K context window analysis
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Timeline Highlights
Latest Releases
Recent launches from related providers