Back

DeepSeek-V3 / V4 class – DeepSeek

Back to DeepSeek

DeepSeek

DeepSeek-V3 / V4 class is a Flagship MoE from DeepSeek (China).

One-line fit: best used for Bulk intelligence, coding.

Key specifications

Provider DeepSeek
Model DeepSeek-V3 / V4 class
Type Flagship MoE
Context window 128K+
Pricing (indicative) Very low API
Company category Frontier Lab
Region China
Official site https://www.deepseek.com

Benchmarks and public standing

Near-frontier MMLU/coding at fraction of US price

Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.

What this model is good at

Bulk intelligence, coding

This aligns with DeepSeek’s broader strengths:

  • Price/performance reasoning
  • Coding value
  • Open-weight releases
  • High-volume API

Limitations and watch-outs

Ecosystem/tools vs Claude Code

  • Rate limits, regional availability, and data retention policies vary by plan.
  • Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
  • Open-weight availability (if any) is separate from hosted API quality and safety filters.

Ideal users

  • Product engineers shipping features that match: Bulk intelligence, coding
  • Teams standardizing on the DeepSeek ecosystem
  • Agent builders who need a Flagship MoE

When to pick something else

  • Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
  • Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
  • Giant multimodal corpora / Workspace: compare Gemini-class models.
  • Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.

Parent company

DeepSeek – Breakout Chinese lab known for strong open/cheap reasoning and coding models that reset global pricing assumptions.

Related models from DeepSeek

Data is curated for AIForumSphere model directory mid-2026 directional figures.

admin@aiforumsphere.tech'
admin
https://aiforumsphere.com