SmophyAI

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DeepSeek · DeepSeek family

DeepSeek: DeepSeek V4.1 Flash (batch)

DeepSeek: DeepSeek V4.1 Flash (batch) ranks #20 of 94 models by Artificial Analysis quality score (39.5) at $0.20/1M tokens blended - and ranks #4 of 353 by average real OpenRouter usage share over the trailing 80-day window (10.69%). Available from 26 providers at up to 100.0% uptime.

  1. Quality (Intelligence Index) - 39.5
  2. Coding index - -
  3. Agentic index - -
  4. Price (blended $/1M) - 0.20
  5. Context window - 1,048,576
  6. Usage rank - #4 of 353
  7. Providers - 26
  8. Open/closed - open
Provider reliability →Compare DeepSeek versions →

Usage share over time

18.62%13.97%9.31%4.66%0.00%Share of usageSep 10Sep 16Sep 22

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 Audit18.5%
Debugging17.0%
Shell Execution16.4%
Code Generation15.7%
File I/O14.9%
DevOps & Config14.3%
Repo Scanning13.7%
DevOps12.7%

Compare DeepSeek: DeepSeek V4.1 Flash (batch)

vs OpenAI: GPT-6 Astra (batch) →vs Anthropic: Claude Opus 5.5 (batch) →vs Google: Gemini 3.8 Flash (batch) →vs SpaceXAI: Grok 4.7 →vs Ox Alpha →vs DeepSeek: DeepSeek V4 Flash 0423 →vs Z.ai: GLM 5.3 Flash (batch) →vs Xiaomi: MiMo-V2.5 →vs Tencent: Hy3 →vs OpenAI: GPT-5.6 Luna (batch) →vs Tencent: Hy3 preview →vs Union Alpha →vs inclusionAI: Ling 3.0 Flash →

Frequently asked questions

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

DeepSeek: DeepSeek V4.1 Flash (batch) scores 39.5 on Artificial Analysis's Intelligence Index, ranking #20 of 94 models with a published score.

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

DeepSeek: DeepSeek V4.1 Flash (batch) costs $0.20 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 #4 of 353 models by average real OpenRouter usage share, averaging 10.69% of classified token volume over the trailing 80-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 September 23, 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.