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DeepSeek-V4-Flash-0731 vs DeepSeek-V4.1-Flash

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 44.7. DeepSeek-V4-Flash-0731 is 3.7x cheaper per token.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 44.7, ranking #13 overall.

In the 5 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4-Flash-0731 is roughly 3.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Flash-0731 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-0731

  • cost matters — it's about 3.7x 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 #13 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek-V4-Flash-0731
DeepSeek
DeepSeek-V4.1-Flash
DeepSeek
Core performance indexes
LLM Stats Score
44.7
#36
51.8
#13
Reasoning
42.3
#46
48.9
#18
Coding
33.0
#37
44.2
#5
Agents
31.1
#31
41.1
#4
Cost, coverage & limits
Benchmark wins
0 of 5
5 of 5
Input price
$0.06 / 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

1 shared
Index
DeepSeek-V4-Flash-0731
DeepSeek-V4.1-Flash
Tool use
25.8#32
34.8#2
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for DeepSeek-V4-Flash-0731 · 20 for DeepSeek-V4.1-Flash

5 shared

DeepSeek-V4-Flash-0731 outperforms in 0 benchmarks, while DeepSeek-V4.1-Flash is better at 5 benchmarks (Agents' Last Exam, AutomationBench, CyberGym, NL2Repo, Terminal-Bench 2.1).

DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.

Sun Sep 20 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-0731 costs less

For input processing, DeepSeek-V4-Flash-0731 ($0.06/1M tokens) is 3.7x cheaper than DeepSeek-V4.1-Flash ($0.22/1M tokens).

For output processing, DeepSeek-V4-Flash-0731 ($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-0731.*

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

Lowest available price from all providers
Sun Sep 20 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Flash-0731
Input tokens$0.06
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

459.2B diff

DeepSeek-V4.1-Flash has 459.2B more parameters than DeepSeek-V4-Flash-0731, making it 151.1% larger.

DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
304.0B
DeepSeek-V4-Flash-0731
763.2B
DeepSeek-V4.1-Flash

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to DeepSeek-V4.1-Flash's 1,040,000 tokens. DeepSeek-V4-Flash-0731 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-0731
Input1,048,576 tokens
Output1,048,576 tokens
DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 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-0731

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-0731

MIT

Open weights

DeepSeek-V4.1-Flash

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while DeepSeek-V4.1-Flash was released on 2026-09-10.

DeepSeek-V4.1-Flash is 1 month newer than DeepSeek-V4-Flash-0731.

DeepSeek-V4-Flash-0731

Jul 31, 2026

1 months ago

DeepSeek-V4.1-Flash

Sep 10, 2026

1 weeks ago

1mo 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-0731 is available from DeepInfra, Novita, Fireworks. DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, DeepSeek, Novita.

DeepSeek-V4-Flash-0731

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.44/1MOutput Price:Output: $1.32/1M

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-0731 and DeepSeek-V4.1-Flash side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
DeepSeek-V4.1-Flash
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs DeepSeek-V4.1-Flash.

Which is better, DeepSeek-V4-Flash-0731 or DeepSeek-V4.1-Flash?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 44.7. DeepSeek-V4-Flash-0731 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-0731 compare to DeepSeek-V4.1-Flash in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. 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-0731 cheaper than DeepSeek-V4.1-Flash?

DeepSeek-V4-Flash-0731 is 3.7x cheaper for input tokens. DeepSeek-V4-Flash-0731 costs $0.06/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-0731 and DeepSeek-V4.1-Flash?

DeepSeek-V4-Flash-0731 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-0731 and DeepSeek-V4.1-Flash?

Key differences include LLM Stats Score (44.7 vs 51.8), context window (1.0M vs 1.0M), input pricing ($0.06 vs $0.22/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

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