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DeepSeek-V4.1-Flash benchmarks, pricing and specs

DeepSeek-V4.1-Flash is a DeepSeek model released on September 10, 2026 that takes text and image input and produces text. It costs $0.30 per 1M input tokens and $1.20 per 1M output tokens and accepts up to 1,000,000 tokens of context. It scores 1475 Elo on Arena Text, #18 of 39 current models (Arena, measured October 8, 2026).

Per 1M input tokens
$0.30
Per 1M output tokens
$1.20
Context window
1M
Arena Text
1475 Elo · #18/39

Data verified October 12, 2026 · Dataset 2026-10-12

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Key facts

Provider
DeepSeek
Model family
DeepSeek-V4.1
Release date
September 10, 2026
Status
Current
Access
API and open weights
API model id
deepseek-flash
Context window
1,000,000 tokens
Max output
384,000 tokens
Input
text, image
Output
text
Task families
text, multimodal
Declared capabilities
reasoning

DeepSeek-V4.1-Flash pricing

It is the #6 cheapest of 37 current text models priced per 1M input tokens.

UnitPrice (USD)TierAppliesSource
1M input tokens$0.30standardCurrent
1M output tokens$1.20standardCurrent
1M input tokens$0.006cachedCurrent
1M input tokens$0.15off peakCurrent
1M output tokens$0.60off peakCurrent
1M input tokens$0.003off peak cachedCurrent

Independent benchmark results

Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. DeepSeek's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.

BenchmarkScoreRankMeasuredSource
Arena Text1475 Elo#18 of 39October 8, 2026Arena · 2026-10-12
GPQA Diamond89.8%#25 of 37October 12, 2026Epoch AI · 2026-10-12
FrontierMath Tiers 1-3 (v2)67.4%#22 of 37October 12, 2026Epoch AI · 2026-10-12

Strengths, cautions and best uses

Strengths

  • A 552B-parameter mixture-of-experts model that activates 8B parameters for input and 16B for output, with native visual understanding and a 1M-token context window
  • Released as MIT-licensed open weights on Hugging Face as well as on the DeepSeek API, so the same model can be hosted or self-run
  • DeepSeek says it beats its own former flagship, DeepSeek-V4-Pro, and halves KV-cache memory needs; Epoch AI measured 89.8% on GPQA Diamond

Cautions

  • The recorded API rates are the peak-hour prices; DeepSeek charges half outside 01:00-04:00 and 06:00-10:00 UTC on weekdays
  • Running the open weights moves cost to your own infrastructure, which the token rates here do not represent

Best for

  • High-volume agent and multimodal workloads where per-token cost dominates
  • Teams that want a frontier-adjacent model they can also self-host under MIT terms

Alternatives to DeepSeek-V4.1-Flash

The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.

Compare DeepSeek-V4.1-Flash with

DeepSeek-V4.1-Flash FAQ

How much does DeepSeek-V4.1-Flash cost?

DeepSeek-V4.1-Flash costs $0.30 per 1M input tokens and $1.20 per 1M output tokens at the standard tier. It is the #6 cheapest of 37 current text models priced per 1M input tokens. Source: DeepSeek, verified August 6, 2026.

What is the context window of DeepSeek-V4.1-Flash?

DeepSeek-V4.1-Flash accepts up to 1,000,000 tokens of context. It can return up to 384,000 tokens in one response. That ranks #24 of 44 current text models by context length.

How does DeepSeek-V4.1-Flash score on independent benchmarks?

DeepSeek-V4.1-Flash scores 1475 Elo on Arena Text, #18 of 39 current models (Arena, measured October 8, 2026), 89.8% on GPQA Diamond, #25 of 37 current models (Epoch AI, measured October 12, 2026) and 67.4% on FrontierMath Tiers 1-3 (v2), #22 of 37 current models (Epoch AI, measured October 12, 2026). These are independent evaluations, not DeepSeek's own launch figures.

Is DeepSeek-V4.1-Flash open source or API only?

DeepSeek-V4.1-Flash is available both through DeepSeek's API and as open weights you can run yourself.

What are the best alternatives to DeepSeek-V4.1-Flash?

The closest current alternatives by price and measured performance are GPT-5.6 Luna (33% cheaper per 1M input tokens, $0.20 vs $0.30), Gemini 3.5 Flash-Lite (same price per 1M input tokens, $0.30), Gemini 3.1 Flash-Lite (17% cheaper per 1M input tokens, $0.25 vs $0.30) and GPT-4.1 mini (33% more per 1M input tokens, $0.40 vs $0.30).

Sources

Cite this page

Van Data Team. "DeepSeek-V4.1-Flash Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-12. https://vandatateam.com/ai-model-benchmarks/deepseek-v4-1-flash

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Production evaluation

Deciding whether DeepSeek-V4.1-Flash fits your workload?

Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • Evaluation cases and acceptance thresholds tied to real work
  • Model routing, fallbacks and cost controls