DeepSeek V3 vs DeepSeek V4
2026 - Pricing, benchmarks, and use case comparison
Quick take
- •DeepSeek V4 is open-weights - free to self-host with no API costs. DeepSeek V3 requires paid API access.
- •Both models come from DeepSeek. DeepSeek V3 targets higher capability; DeepSeek V4 is the faster, cheaper tier.
Specs comparison
| DeepSeek V3 | DeepSeek V4 | |
|---|---|---|
| Provider | DeepSeek | DeepSeek |
| Type | Open source | Open source |
| Context window | 128K | 128K |
| Input / 1M tokens | $0.27 | ✓Free (self-host) |
| Output / 1M tokens | $1.10 | Free (self-host) |
| Release date | 2024-12 | 2025-12 |
Benchmarks
| Benchmark | DeepSeek V3 | DeepSeek V4 |
|---|---|---|
| HumanEval | 90.2% | - |
| MMLU | 88.5% | - |
| Aider Polyglot | 55.0% | - |
Scores sourced from official provider release posts.
Strengths
DeepSeek V3
- ✓Near-GPT-4o quality at a fraction of the price
- ✓Open weights - self-host or fine-tune freely
- ✓Efficient MoE architecture reduces inference cost
- ✓Strong coding (Aider polyglot, HumanEval)
- ✓Good instruction following and structured output
DeepSeek V4
- ✓Mixture-of-Experts architecture - high capability, low activation cost
- ✓Open-source weights freely available
- ✓Strong coding and reasoning benchmarks
- ✓Flash variant offers low-latency inference
- ✓Significantly cheaper to run than US frontier models
Which should you choose?
Choose DeepSeek V3 if you need...
- →Cost-sensitive high-volume inference
- →Self-hosted deployments
- →Fine-tuning for specialized domains
- →Coding assistants
Choose DeepSeek V4 if you need...
- →Self-hosted deployments needing frontier performance
- →Cost-sensitive high-volume inference
- →Coding and technical tasks
- →Researchers studying MoE architectures