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
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.
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.
| Benchmark | Score | Rank | Measured | Source |
|---|---|---|---|---|
| Arena Text | 1475 Elo | #18 of 39 | October 8, 2026 | Arena · 2026-10-12 |
| GPQA Diamond | 89.8% | #25 of 37 | October 12, 2026 | Epoch AI · 2026-10-12 |
| FrontierMath Tiers 1-3 (v2) | 67.4% | #22 of 37 | October 12, 2026 | Epoch 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.
Cheaper, similar score
GPT-5.6 Luna
- 33% cheaper per 1M input tokens, $0.20 vs $0.30
- 23 points lower on Arena Text, 1452 vs 1475
- From OpenAI
Gemini 3.5 Flash-Lite
- Same price per 1M input tokens, $0.30
- 20 points lower on Arena Text, 1455 vs 1475
- From Google
Gemini 3.1 Flash-Lite
- 17% cheaper per 1M input tokens, $0.25 vs $0.30
- 8 points lower on GPQA Diamond, 81.8 vs 89.8
- From Google
GPT-4.1 mini
- 33% more per 1M input tokens, $0.40 vs $0.30
- 92 points lower on Arena Text, 1383 vs 1475
- From OpenAI
Compare DeepSeek-V4.1-Flash with
- DeepSeek-V4.1-Flash vs Claude Haiku 5.5
- DeepSeek-V4.1-Flash vs Claude Sonnet 5
- DeepSeek-V4.1-Flash vs Gemini 3.1 Flash-Lite
- DeepSeek-V4.1-Flash vs Gemini 3.5 Flash-Lite
- DeepSeek-V4.1-Flash vs Gemini 3.7 Flash
- DeepSeek-V4.1-Flash vs Gemini 3.8 Flash
- DeepSeek-V4.1-Flash vs Gemini 3 Flash Preview
- DeepSeek-V4.1-Flash vs GPT-4.1 mini
- DeepSeek-V4.1-Flash vs GPT-5.4
- DeepSeek-V4.1-Flash vs GPT-5.6 Luna
- DeepSeek-V4.1-Flash vs GPT-5.6 Terra
- DeepSeek-V4.1-Flash vs GPT-6 Astra
- DeepSeek-V4.1-Flash vs GPT-6 Sol
- DeepSeek-V4.1-Flash vs Grok 4.20
- DeepSeek-V4.1-Flash vs Grok 4.5
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
- DeepSeek-V4.1-Flash release · DeepSeek · official · verified October 12, 2026
- DeepSeek-V4.1-Flash model weights · DeepSeek · official · verified October 12, 2026
- DeepSeek API pricing · DeepSeek · official · verified August 6, 2026
- Epoch AI Benchmarking Hub data (benchmark_data.zip) · Epoch AI · independent · verified October 12, 2026 · CC-BY-4.0
- Arena leaderboard dataset (lmarena-ai/leaderboard-dataset) · Arena · independent · verified October 12, 2026 · CC-BY-4.0
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
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