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DeepSeek-V4-Flash-Max vs DeepSeek-V4.1-Flash

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 39.1. DeepSeek-V4-Flash-Max is 2.9x cheaper per token.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 39.1, ranking #12 overall.

The models split the 4 individual benchmarks reported for both models evenly.

On price, DeepSeek-V4-Flash-Max is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Flash-Max also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Flash-Max

  • cost matters — it's about 2.9x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

Choose DeepSeek-V4.1-Flash

  • overall performance matters — it scores 51.8 and ranks #12 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek-V4-Flash-Max
DeepSeek
DeepSeek-V4.1-Flash
DeepSeek
Core performance indexes
LLM Stats Score
39.1
#60
51.8
#12
Reasoning
39.8
#55
48.9
#17
Coding
28.9
#55
44.4
#5
Agents
18.5
#67
41.3
#4
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
Input price
$0.09 / M
$0.22 / M
Output price
$0.18 / M
$0.66 / M
Context window
1,048,576
1,040,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4-Flash-Max
DeepSeek-V4.1-Flash
Math
39.2#21
35.2#43
Tool use
17.3#73
35.1#2
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for DeepSeek-V4-Flash-Max · 20 for DeepSeek-V4.1-Flash

4 shared

DeepSeek-V4-Flash-Max outperforms in 2 benchmarks (Humanity's Last Exam, MathArena Apex), while DeepSeek-V4.1-Flash is better at 1 benchmark (GPQA).

DeepSeek-V4-Flash-Max has a slight edge in benchmark performance.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Flash-Max costs less

For input processing, DeepSeek-V4-Flash-Max ($0.09/1M tokens) is 2.4x cheaper than DeepSeek-V4.1-Flash ($0.22/1M tokens).

For output processing, DeepSeek-V4-Flash-Max ($0.18/1M tokens) is 3.7x cheaper than DeepSeek-V4.1-Flash ($0.66/1M tokens).

In conclusion, DeepSeek-V4.1-Flash is more expensive than DeepSeek-V4-Flash-Max.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Sep 14 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Flash-Max
Input tokens$0.09
Output tokens$0.18
Best providerDeepinfra
DeepSeek
DeepSeek-V4.1-Flash
Input tokens$0.22
Output tokens$0.66
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

479.2B diff

DeepSeek-V4.1-Flash has 479.2B more parameters than DeepSeek-V4-Flash-Max, making it 168.7% larger.

DeepSeek
DeepSeek-V4-Flash-Max
284.0Bparameters
DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
284.0B
DeepSeek-V4-Flash-Max
763.2B
DeepSeek-V4.1-Flash

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-Max accepts 1,048,576 input tokens compared to DeepSeek-V4.1-Flash's 1,040,000 tokens. DeepSeek-V4-Flash-Max can generate longer responses up to 1,048,576 tokens, while DeepSeek-V4.1-Flash is limited to 393,216 tokens.

DeepSeek
DeepSeek-V4-Flash-Max
Input1,048,576 tokens
Output1,048,576 tokens
DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash supports multimodal inputs, whereas DeepSeek-V4-Flash-Max does not.

DeepSeek-V4.1-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Flash-Max

Text
Images
Audio
Video

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V4-Flash-Max

MIT

Open weights

DeepSeek-V4.1-Flash

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Max was released on 2026-04-23, while DeepSeek-V4.1-Flash was released on 2026-09-10.

DeepSeek-V4.1-Flash is 5 months newer than DeepSeek-V4-Flash-Max.

DeepSeek-V4-Flash-Max

Apr 23, 2026

4 months ago

DeepSeek-V4.1-Flash

Sep 10, 2026

4 days ago

4mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V4-Flash-Max is available from DeepInfra, DeepSeek. DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, DeepSeek, Novita.

DeepSeek-V4-Flash-Max

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.18/1M
deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M

DeepSeek-V4.1-Flash

fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-Max and DeepSeek-V4.1-Flash side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Max
✓ Preferred
DeepSeek-V4.1-Flash
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Max vs DeepSeek-V4.1-Flash.

Which is better, DeepSeek-V4-Flash-Max or DeepSeek-V4.1-Flash?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 39.1. DeepSeek-V4-Flash-Max is made by DeepSeek and DeepSeek-V4.1-Flash is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4-Flash-Max compare to DeepSeek-V4.1-Flash in benchmarks?

DeepSeek-V4-Flash-Max scores CodeForces: 100.0%, HMMT Feb 26: 94.8%, LiveCodeBench: 91.6%, IMO-AnswerBench: 88.4%, GPQA: 88.1%. DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%.

Is DeepSeek-V4-Flash-Max cheaper than DeepSeek-V4.1-Flash?

DeepSeek-V4-Flash-Max is 2.4x cheaper for input tokens. DeepSeek-V4-Flash-Max costs $0.09/M input and $0.18/M output via deepinfra. DeepSeek-V4.1-Flash costs $0.22/M input and $0.66/M output via fireworks.

What are the context window sizes for DeepSeek-V4-Flash-Max and DeepSeek-V4.1-Flash?

DeepSeek-V4-Flash-Max supports 1.0M tokens and DeepSeek-V4.1-Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Flash-Max and DeepSeek-V4.1-Flash?

Key differences include LLM Stats Score (39.1 vs 51.8), context window (1.0M vs 1.0M), input pricing ($0.09 vs $0.22/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

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