DeepSeek
DeepSeek: DeepSeek V4 Pro 0423
deepseek/deepseek-v4-pro
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window.
- Context window: 1,048,576 tokens
- Input: text
- Output: text
- Pricing: $0.348174/M input tokens, $0.696348/M output tokens
Community sentiment
Mixed (+8) — 1 positive, 0 negative, 2 neutral across 3 community samples from X and the web, as of 2026-10-15.
Discussion about DeepSeek V4 Pro 0423 focuses on an 82% output-price reduction and on benchmark/comparison listings; users highlight the lower cost while benchmark pages compare its suitability versus other DeepSeek variants. Overall commentary is factual and comparison-driven, emphasizing price and performance metrics rather than subjective impressions of the model's behavior.
- “💸 DeepSeek V4 Pro 0423 output price dropped 82% — $1.90 → $0.341/MTok. Compare providers, speed & capability. #LLM #AI https://t.co/tKzBzHgjro” — X
- “deepseek/deepseek-v4-pro-free - ZenMux — # DeepSeek: DeepSeek V4 Pro (Free)SunsetFreeRate Limit ## Benchmarks Higher percentages are better — and rank percentile shows ## Apps Good signal for what real production workloads look like — and a hint at which use cases this model is b” — the web
- “DeepSeek V4 Pro vs DeepSeek V4 Flash 0423 vs DeepSeek V4.1 ... — 1 day ago · DeepSeek models side by side on "Pick the right tool of three": DeepSeek V4 Flash 0423 scores 10/10; DeepSeek V4 Flash 0423 is the cheapest answer scoring 8+ at ...” — the web
RuntimeWire coverage
- Head to head: Z.ai: GLM 5.3 Prime vs DeepSeek-V4-Pro
- Head to head: Google: Gemini 4 Argon vs DeepSeek-V4-Pro
- Head to head: DeepSeek: DeepSeek V4 Pro 0813 vs muse-spark-1.3
- Head to head: Qwen: Qwen3.8 2.4T A95B vs DeepSeek-V4-Pro
- Head to head: DeepSeek-V4-Pro vs Cohere-command-a-plus-05-2026
- Head to head: DeepSeek-V4-Pro vs gpt-oss-120b
- Bolt launches Forge with 50x more usage and an opt-in data trade
- Nex-AGI launches 1.6T N2.5 agent family, leaves Pro weights pending
- Head to head: Anthropic: Claude Fable 5.1 vs DeepSeek: DeepSeek V4 Pro 0813
- Alibaba says Qwen3.8-Max leads open-weight models on commerce agent benchmark
- Head to head: grok-4.6 vs DeepSeek-V4-Pro
- Head to head: DeepSeek-V4-Pro vs Phi-4-multimodal-instruct
View on OpenRouter. Model data sourced from OpenRouter.