DeepSeek V4 vs GPT-5.4
Comprehensive comparison between DeepSeek's DeepSeek V4 and OpenAI's GPT-5.4. Compare pricing, performance, features, and user reviews.
DeepSeek V4
DeepSeekDeepSeek V4 (released 2026-04-24) ships two MIT-licensed MoE variants: V4-Pro (1.6T/49B active) and V4-Flash (284B/13B active), both with 1M-token context and hybrid Compressed Sparse Attention + Heavily Compressed Attention. Three reasoning modes (Non-think / Think High / Think Max). V4-Pro uses only 27% of V3.2's FLOPs and 10% of its KV cache at 1M context. Priced well below GPT-5.5 / Opus 4.7 while matching them on most benchmarks.
GPT-5.4
OpenAIOpenAI's most capable and efficient frontier model for professional work. Combines industry-leading coding with native computer use, 1M+ context window, and improved reasoning. First GPT model to beat human performance on desktop navigation tasks.
Specs Comparison
| Specification | DeepSeek V4 | GPT-5.4 |
|---|---|---|
| Context Window | 1000K | 1050K |
| Max Output | 66K | 128K |
| Input (per 1M tokens) | $1.74 | $2.50 |
| Output (per 1M tokens) | $3.48 | $15.00 |
| Reasoning | ||
| Open Source |
Scenario Score Comparison
DeepSeek V4
Pros
- + 1M token context window with aggressive KV-cache compression
- + MIT license — fully open-source, self-hostable
- + V4-Pro $1.74/$3.48 per MTok — far cheaper than GPT-5.5 and Opus 4.7
- + New SOTA for open models on SimpleQA-Verified (57.9)
- + OpenAI + Anthropic API-compatible endpoints
- + Three reasoning modes tunable per request
Cons
- − Still trails GPT-5.4 / Gemini 3.1 Pro by 3-6 months on frontier benchmarks
- − Servers in China (overseas latency, geopolitical concerns)
- − Text-only — V3's multimodal (image/video) capability not confirmed for V4
- − V4-Pro self-hosting needs substantial hardware (49B active × FP4/FP8)
GPT-5.4
Pros
- + 1M+ context window (largest in GPT lineup)
- + Native computer use capability
- + 33% fewer hallucinations vs GPT-5.2
- + Tool search reduces tokens by 47%
- + Half the price of Claude Opus 4.6
Cons
- − 2x pricing above 272K tokens
- − 24% longer average responses (more output tokens)
- − Health benchmarks slightly worse than 5.2
- − Some users report benchmark-optimized feel
Recommendation
Choose DeepSeek V4 if you:
- • Need 1m token context window with aggressive kv-cache compression
- • Need mit license — fully open-source, self-hostable
- • Need v4-pro $1.74/$3.48 per mtok — far cheaper than gpt-5.5 and opus 4.7
Choose GPT-5.4 if you:
- • Need 1m+ context window (largest in gpt lineup)
- • Need native computer use capability
- • Need 33% fewer hallucinations vs gpt-5.2
Based on scores across 2 scenarios, GPT-5.4 performs better overall.
Get Started with DeepSeek V4
Get Started with GPT-5.4
💡 Pro plan offers higher rate limits and priority access.
Want to compare other models?
Custom Comparison