SmophyAI

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DeepSeek · DeepSeek family

DeepSeek: DeepSeek V4 Flash 0423

DeepSeek: DeepSeek V4 Flash 0423 ranks #17 of 85 models by Artificial Analysis quality score (51.8) at $0.11/1M tokens blended - and ranks #1 of 291 by average real OpenRouter usage share over the trailing 35-day window (12.91%). Available from 20 providers at up to 100.0% uptime.

  1. Quality (Intelligence Index) - 51.8
  2. Coding index - 69.1
  3. Agentic index - 48.4
  4. Price (blended $/1M) - 0.11
  5. Context window - 1,048,576
  6. Usage rank - #1 of 291
  7. Providers - 20
  8. Open/closed - open

Usage share over time

23.98%17.99%11.99%6.00%0.00%Share of usageJul 5Jul 22Aug 8

What DeepSeek: DeepSeek V4 Flash 0423 is actually used for

Share of each real task category's classified traffic this model handles, from OpenRouter's task classification.

TaskShare of task traffic
Roleplay & Fiction46.8%
Web Search34.1%
Tool Dispatch28.1%
Multi-step Planning25.1%
Translation24.0%
DevOps23.0%
DevOps & Config23.0%
Security Audit22.8%

Compare DeepSeek: DeepSeek V4 Flash 0423

Frequently asked questions

What is DeepSeek: DeepSeek V4 Flash 0423's quality score?

DeepSeek: DeepSeek V4 Flash 0423 scores 51.8 on Artificial Analysis's Intelligence Index, ranking #17 of 85 models with a published score.

How much does DeepSeek: DeepSeek V4 Flash 0423 cost?

DeepSeek: DeepSeek V4 Flash 0423 costs $0.11 per 1M tokens (blended 75% prompt / 25% completion pricing).

Is DeepSeek: DeepSeek V4 Flash 0423 widely used?

DeepSeek: DeepSeek V4 Flash 0423 ranks #1 of 291 models by average real OpenRouter usage share, averaging 12.91% of classified token volume over the trailing 35-day window.

Is DeepSeek: DeepSeek V4 Flash 0423 open-weight or closed?

DeepSeek: DeepSeek V4 Flash 0423 is an open-weight model.

Source: OpenRouter (openrouter.ai/rankings), as of August 9, 2026.

Benchmark scores: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).

Methodology: smophy.ai/benchmark/methodology

Token counts originate from each provider's own tokenizer and are not directly comparable across providers.