SmophyAI

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DeepSeek · DeepSeek family

DeepSeek: DeepSeek V4.1 Flash (batch)

DeepSeek: DeepSeek V4.1 Flash (batch) ranks #28 of 96 models by Artificial Analysis quality score (28.6) at $0.26/1M tokens blended - and ranks #2 of 404 by average real OpenRouter usage share over the trailing 125-day window (21.42%). Available from 40 providers at up to 100.0% uptime.

  1. Quality (Intelligence Index) - 28.6
  2. Coding index - -
  3. Agentic index - -
  4. Price (blended $/1M) - 0.26
  5. Context window - 1,048,576
  6. Usage rank - #2 of 404
  7. Providers - 40
  8. Open/closed - open

Usage share over time

43.58%32.69%21.79%10.90%0.00%Share of usageSep 10Oct 8Nov 6

What DeepSeek: DeepSeek V4.1 Flash (batch) 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
Security Audit55.7%
DevOps & Config52.4%
Shell Execution39.5%
Code Generation39.2%
Repo Scanning37.6%
File I/O36.7%
Web Search35.1%
Frontend & UI33.2%

Compare DeepSeek: DeepSeek V4.1 Flash (batch)

Frequently asked questions

What is DeepSeek: DeepSeek V4.1 Flash (batch)'s quality score?

DeepSeek: DeepSeek V4.1 Flash (batch) scores 28.6 on Artificial Analysis's Intelligence Index, ranking #28 of 96 models with a published score.

How much does DeepSeek: DeepSeek V4.1 Flash (batch) cost?

DeepSeek: DeepSeek V4.1 Flash (batch) costs $0.26 per 1M tokens (blended 75% prompt / 25% completion pricing).

Is DeepSeek: DeepSeek V4.1 Flash (batch) widely used?

DeepSeek: DeepSeek V4.1 Flash (batch) ranks #2 of 404 models by average real OpenRouter usage share, averaging 21.42% of classified token volume over the trailing 125-day window.

Is DeepSeek: DeepSeek V4.1 Flash (batch) open-weight or closed?

DeepSeek: DeepSeek V4.1 Flash (batch) is an open-weight model.

Source: OpenRouter (openrouter.ai/rankings), as of November 7, 2026.

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

Methodology: www.smophy.ai/benchmark/methodology

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