DeepSeek-V3
DeepSeek-V3 is a large-scale language model family noted for strong coding and math performance under open or research-friendly terms (verify the exact license for your deployment).
Newer version: DeepSeek-V3.2
Provider
DeepSeek
Model family
DeepSeek
LLM
Cost tier
Chat
Status
Legacy
Release Dec 26, 2024
Why teams choose it
Cost-aware reasoning depth
Helps teams that prioritize token economics but still want multi-step reasoning and strong coding assistance validated on their workloads.
Coding and tools
Works well for code assistance, tool calling, and agent workflows where instructions must stay consistent across steps.
Bench before you reroute traffic
Useful once you rerun your own evaluation harness—routing decisions should survive your retrieval shape, tooling, and safety filters.
Cost-efficient routing
Useful as part of a routing stack where cheap models handle drafts and confirmations and this tier handles genuinely hard passages.
Tradeoffs to know
- Operational burden is high when self-hosting large checkpoints.
- Safety and policy tooling must be layered by the operator.
Technical specs
- Inputs
- text
- Outputs
- text
- Capabilities
- coding, math, MoE-style training
- License
- DeepSeek License (see vendor)
Benchmarks
- Coding Leaderboards
- competitive
DeepSeek family lineup
Current models
Related models
DeepSeek-V3 FAQ
What is DeepSeek-V3?
DeepSeek-V3 is a large-scale language model family noted for strong coding and math performance under open or research-friendly terms (verify the exact license for your deployment). Teams adopt it for cost-sensitive research, self-hosted inference, or comparison against frontier APIs.
When does DeepSeek-V3 fit best?
Coding copilots and internal developer bots
What should teams watch out for with DeepSeek-V3?
Operational burden is high when self-hosting large checkpoints.
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