DeepSeek, open weights

# DeepSeek V4.1 Flash

> DeepSeek V4.1 Flash by DeepSeek, released September 2026. Ranked #38 of 354 with a Noometry Index of 52.8. API: $0.15 in / $0.60 out per M tokens. 1M context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/deepseek-v4-1-flash
- Last updated: 2026-10-10
- Title: DeepSeek V4.1 Flash Benchmarks, Price & Rank (October 2026)

DeepSeek V4.1 Flash by DeepSeek ranks 38th of 354 ranked models on the Noometry Index as of October 2026, with a score of 52.8. Its strongest category is math, where it ranks 25th. API pricing starts at $0.15 per million input tokens and $0.60 per million output tokens, with a 1M-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #38 of 354
- **Index score:** 52.8
- **Evidence:** Confirmed 37 results
- **Provider:** [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek)
- **Released:** September 9, 2026
- **Weights:** Open weights
- **Reasoning:** Yes
- **Context window:** 1M
- **Max output:** 393K
- **Input price:** $0.15 / M
- **Output price:** $0.60 / M
- **Blended price:** $0.26 / M
- **Output speed:** Not measured
- **Value:** #42 of 219
- **Knowledge cutoff:** May 2025
- **Input:** text, image
- **Hugging Face:** [deepseek-ai/DeepSeek-V4.1-Flash](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash)

## Category scores

Each category score combines every public result we have in that category.

DeepSeek V4.1 Flash category scores

1.  Coding 52.9
2.  Agentic & Tool Use 31.2
3.  Reasoning 50.2
4.  Math 66.7
5.  Knowledge 57.9
6.  Multimodal 39.1
7.  Multilingual 55.0
8.  Instruction Following 77.3
9.  Long Context 45.2
10.  Writing & Preference 65.4
11.  020406080

DeepSeek V4.1 Flash category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 52.9 | #32 | 3 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 31.2 | #69 | 2 |
| [Reasoning](https://noometry.com/best/reasoning) | 50.2 | #36 | 7 |
| [Math](https://noometry.com/best/math) | 66.7 | #25 | 5 |
| [Knowledge](https://noometry.com/best/knowledge) | 57.9 | #38 | 2 |
| [Multimodal](https://noometry.com/best/multimodal) | 39.1 | #61 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 55.0 | #35 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 77.3 | #26 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 45.2 | #47 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 65.4 | #48 | 4 |

## Strengths and weaknesses

Categories where DeepSeek V4.1 Flash places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

DeepSeek V4.1 Flash: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Math](https://noometry.com/best/math) | 66.7 | +30.2 | #25 of 327, top 8% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 77.3 | +6.1 | #26 of 305, top 9% |
| [Coding](https://noometry.com/best/coding) | 52.9 | +14.2 | #32 of 340, top 10% |

### Weakest categories

DeepSeek V4.1 Flash: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Multimodal](https://noometry.com/best/multimodal) | 39.1 | +0.5 | #61 of 128, top 48% |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 31.2 | +0.8 | #69 of 154, top 45% |
| [Long Context](https://noometry.com/best/long-context) | 45.2 | +4.2 | #47 of 296, top 16% |

## Closest competitors

The models ranked just above and below DeepSeek V4.1 Flash. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to DeepSeek V4.1 Flash
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [GPT-5.2](https://noometry.com/models/gpt-5-2) | #34 | 54.1 | $4.81 | 15 | [Compare](https://noometry.com/compare/deepseek-v4-1-flash-vs-gpt-5-2) |
| [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) | #35 | 53.6 | $0.26 | 6 | [Compare](https://noometry.com/compare/deepseek-v4-1-flash-vs-deepseek-v4-flash) |
| [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | #36 | 53.3 | $0.20 | — | [Compare](https://noometry.com/compare/deepseek-v4-1-flash-vs-gpt-6-luna) |
| [Grok 4.7](https://noometry.com/models/grok-4-7) | #37 | 53.1 | $3 | — | [Compare](https://noometry.com/compare/deepseek-v4-1-flash-vs-grok-4-7) |
| [GPT-5.2 Pro](https://noometry.com/models/gpt-5-2-pro) | #39 | 52.3 | $57.75 | — | [Compare](https://noometry.com/compare/deepseek-v4-1-flash-vs-gpt-5-2-pro) |
| [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) | #40 | 52.3 | $1.13 | — | [Compare](https://noometry.com/compare/deepseek-v4-1-flash-vs-gemini-3-flash-preview) |
| [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | #41 | 51.8 | $0.24 | — | [Compare](https://noometry.com/compare/deepseek-v4-1-flash-vs-glm-5-3-flash) |
| [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) | #42 | 51.5 | $3.75 | — | [Compare](https://noometry.com/compare/deepseek-v4-1-flash-vs-qwen3-7-max) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

DeepSeek V4.1 Flash Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1619 | #18 of 113, top 16% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [SciCode](https://noometry.com/benchmarks/scicode) | 51.9% | #36 of 121, top 30% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [SciCode](https://noometry.com/benchmarks/scicode) | 35.5% |  | none | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1506 | #14 of 294, top 5% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 1,092 | #39 of 105, top 38% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

DeepSeek V4.1 Flash Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [APEX-Agents](https://noometry.com/benchmarks/apex-agents) | 39.5% | #37 of 49, top 76% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [GDP.pdf](https://noometry.com/benchmarks/gdp-pdf) | 19.8% | #20 of 36, top 56% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

DeepSeek V4.1 Flash Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 89.6% | #19 of 91, top 21% | high reasoning | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 14.3% | #38 of 134, top 29% | max | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CritPt](https://noometry.com/benchmarks/critpt) | 0.3% |  | none | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1483 | #29 of 297, top 10% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Mystery Game Puzzles](https://noometry.com/benchmarks/mystery-game-puzzles) | 43% | #12 of 74, top 17% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-08 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 89.9% | #43 of 151, top 29% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 47% | #28 of 125, top 23% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Surface Evolver Bench](https://noometry.com/benchmarks/surface-evolver-bench) | 46.3% | #17 of 25, top 68% | high | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 154.9 | #31 of 213, top 15% |  | [Epoch AI](https://epoch.ai/eci) | 2026-09-09 |

### Math

DeepSeek V4.1 Flash Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [FrontierMath (Tiers 1-3)](https://noometry.com/benchmarks/frontiermath) | 67.4% | #28 of 81, top 35% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-08 |
| [FrontierMath Tier 4](https://noometry.com/benchmarks/frontiermath-tier-4) | 26.8% | #33 of 63, top 53% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-08 |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 98.3% | #21 of 173, top 13% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-08 |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 54% | #26 of 77, top 34% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1477 | #30 of 285, top 11% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

DeepSeek V4.1 Flash Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 89.8% | #40 of 186, top 22% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-09 |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1506 | #20 of 273, top 8% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

DeepSeek V4.1 Flash Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1277 | #32 of 122, top 27% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |
| [Furniture Assembly](https://noometry.com/benchmarks/furniture-assembly) | 34.2% | #19 of 31, top 62% | max | [Epoch AI](https://epoch.ai/benchmarks) | 2026-10-08 |

### Multilingual

DeepSeek V4.1 Flash Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1448 | #35 of 297, top 12% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1497 | #47 of 285, top 17% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1452 | #66 of 223, top 30% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1484 | #18 of 231, top 8% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1412 | #48 of 211, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1452 | #16 of 213, top 8% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1471 | #26 of 283, top 10% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1459 | #36 of 226, top 16% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

DeepSeek V4.1 Flash Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1474 | #23 of 298, top 8% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

DeepSeek V4.1 Flash Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1475 | #29 of 291, top 10% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

DeepSeek V4.1 Flash Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1462 | #32 of 297, top 11% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1435 | #44 of 295, top 15% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 1540 | #51 of 115, top 45% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1457 | #41 of 295, top 14% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

DeepSeek V4.1 Flash API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [deepinfra](https://deepinfra.com/models) | $0.20 | $0.60 | $0.006 | 2026-10-10 |
| [deepseek](https://api-docs.deepseek.com/quick_start/pricing) | $0.15 | $0.60 | $0.003 | 2026-10-10 |
| [fireworks](https://fireworks.ai/docs/) | $0.30 | $1.20 | $0.006 | 2026-10-10 |
| [openrouter](https://openrouter.ai/deepseek/deepseek-v4.1-flash) | $0.30 | $1.20 | $0.006 | 2026-10-10 |
| [together](https://docs.together.ai/docs/serverless-models) | $0.30 | $1.20 | $0.006 | 2026-10-10 |

[All DeepSeek API prices →](https://noometry.com/llm-pricing/deepseek) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare DeepSeek V4.1 Flash

-   [DeepSeek V4.1 Flash vs DeepSeek V4 Flash](https://noometry.com/compare/deepseek-v4-1-flash-vs-deepseek-v4-flash)
-   [DeepSeek V4.1 Flash vs Grok 4.7](https://noometry.com/compare/deepseek-v4-1-flash-vs-grok-4-7)
-   [DeepSeek V4.1 Flash vs GPT-5.2 Pro](https://noometry.com/compare/deepseek-v4-1-flash-vs-gpt-5-2-pro)
-   [DeepSeek V4.1 Flash vs GPT-6 Luna](https://noometry.com/compare/deepseek-v4-1-flash-vs-gpt-6-luna)
-   [DeepSeek V4.1 Flash vs Gemini 3 Flash Preview](https://noometry.com/compare/deepseek-v4-1-flash-vs-gemini-3-flash-preview)
-   [DeepSeek V4.1 Flash vs GLM-5.3-Flash](https://noometry.com/compare/deepseek-v4-1-flash-vs-glm-5-3-flash)
-   [DeepSeek V4.1 Flash vs GPT-6 Astra](https://noometry.com/compare/deepseek-v4-1-flash-vs-gpt-6-astra)
-   [DeepSeek V4.1 Flash vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-deepseek-v4-1-flash)
-   [DeepSeek V4.1 Flash vs Gemini 3.8 Flash](https://noometry.com/compare/deepseek-v4-1-flash-vs-gemini-3-8-flash)
-   [DeepSeek V4.1 Flash vs Kimi K3](https://noometry.com/compare/deepseek-v4-1-flash-vs-kimi-k3)
-   [DeepSeek V4.1 Flash vs Grok 4.6](https://noometry.com/compare/deepseek-v4-1-flash-vs-grok-4-6)
-   [DeepSeek V4.1 Flash vs Qwen3.8 Max](https://noometry.com/compare/deepseek-v4-1-flash-vs-qwen3-8-max)
-   [DeepSeek V4.1 Flash vs GLM-5.3](https://noometry.com/compare/deepseek-v4-1-flash-vs-glm-5-3)
-   [DeepSeek V4.1 Flash vs Muse Spark 1.3](https://noometry.com/compare/deepseek-v4-1-flash-vs-muse-spark-1-3)

## Other DeepSeek models

-   [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro)54.3
-   [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash)53.6
-   [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp)44.3
-   [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus)43.1
-   [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1)42.8
-   [DeepSeek-R1](https://noometry.com/models/deepseek-r1)42.3
-   [DeepSeek-V3.2-Speciale](https://noometry.com/models/deepseek-v3-2-speciale)39.7
-   [DeepSeek-V3](https://noometry.com/models/deepseek-v3)39.5

## Frequently asked questions

### How good is DeepSeek V4.1 Flash?

DeepSeek V4.1 Flash by DeepSeek ranks 38th of 354 ranked models on the Noometry Index as of October 2026, with a score of 52.8. Its strongest category is math, where it ranks 25th. API pricing starts at $0.15 per million input tokens and $0.60 per million output tokens, with a 1M-token context window.

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

DeepSeek V4.1 Flash costs $0.15 per million input tokens and $0.60 per million output tokens on DeepSeek's own API, with cached input at $0.003.

### What is DeepSeek V4.1 Flash's context window?

DeepSeek V4.1 Flash accepts up to 1M tokens of input and can write up to 393K tokens in one response.

### Is DeepSeek V4.1 Flash open source?

Yes. DeepSeek V4.1 Flash's weights are downloadable from Hugging Face (deepseek-ai/DeepSeek-V4.1-Flash); check the license for commercial terms.

### What are DeepSeek V4.1 Flash's strengths and weaknesses?

Relative to other ranked models, DeepSeek V4.1 Flash places best in math, instruction following, coding and lowest in multimodal, agentic & tool use, long context.

### What is DeepSeek V4.1 Flash best at?

Its best category is math, where it ranks 25th on Noometry.

### Cite this page

Noometry. (2026). DeepSeek V4.1 Flash benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/deepseek-v4-1-flash

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/deepseek-v4-1-flash.md).