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DeepSeek-V4-Flash-0731 vs DeepSeek-V4.1-Flash-1017

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 43.0. DeepSeek-V4-Flash-0731 is 5.8x cheaper per token.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 43.0, ranking #15 overall.

In the 3 individual benchmarks reported for both models, DeepSeek-V4.1-Flash-1017 wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4-Flash-0731 is roughly 5.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose DeepSeek-V4-Flash-0731

  • cost matters — it's about 5.8x cheaper per token

Choose DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek-V4-Flash-0731
DeepSeek
DeepSeek-V4.1-Flash-1017
DeepSeek
Core performance indexes
LLM Stats Score
43.0
#56
51.0
#15
Reasoning
40.9
#62
48.6
#18
Coding
30.6
#57
39.1
#15
Agents
28.9
#51
38.6
#9
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.06 / M
$0.30 / M
Output price
$0.18 / M
$1.20 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-0731
DeepSeek-V4.1-Flash-1017
Tool use
23.0#47
30.9#7
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for DeepSeek-V4-Flash-0731 · 11 for DeepSeek-V4.1-Flash-1017

3 shared

DeepSeek-V4-Flash-0731 outperforms in 0 benchmarks, while DeepSeek-V4.1-Flash-1017 is better at 3 benchmarks (Agents' Last Exam, AutomationBench, NL2Repo).

DeepSeek-V4.1-Flash-1017 significantly outperforms across most benchmarks.

Tue Oct 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 5.0x cheaper than DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens).

For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 6.7x cheaper than DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than DeepSeek-V4-Flash-0731.*

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

Lowest available price from all providers
Tue Oct 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-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
Notice missing or incorrect data?

Model Size

Parameter count comparison

459.2B diff

DeepSeek-V4.1-Flash-1017 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-1017
763.2Bparameters
304.0B
DeepSeek-V4-Flash-0731
763.2B
DeepSeek-V4.1-Flash-1017

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while DeepSeek-V4.1-Flash-1017 is limited to 393,216 tokens.

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output1,048,576 tokens
DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.

DeepSeek-V4.1-Flash-1017 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-1017

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-1017

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-1017 was released on 2026-10-17.

DeepSeek-V4.1-Flash-1017 is 3 months newer than DeepSeek-V4-Flash-0731.

DeepSeek-V4-Flash-0731

Jul 31, 2026

2 months ago

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

2mo 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-1017 is available from DeepSeek.

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-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and DeepSeek-V4.1-Flash-1017 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
DeepSeek-V4.1-Flash-1017
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs DeepSeek-V4.1-Flash-1017.

Which is better, DeepSeek-V4-Flash-0731 or DeepSeek-V4.1-Flash-1017?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 43.0. DeepSeek-V4-Flash-0731 is made by DeepSeek and DeepSeek-V4.1-Flash-1017 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-1017 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-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%.

Is DeepSeek-V4-Flash-0731 cheaper than DeepSeek-V4.1-Flash-1017?

DeepSeek-V4-Flash-0731 is 5.0x cheaper for input tokens. DeepSeek-V4-Flash-0731 costs $0.06/M input and $0.18/M output via deepinfra. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek.

What are the context window sizes for DeepSeek-V4-Flash-0731 and DeepSeek-V4.1-Flash-1017?

DeepSeek-V4-Flash-0731 supports 1.0M tokens and DeepSeek-V4.1-Flash-1017 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-1017?

Key differences include LLM Stats Score (43.0 vs 51.0), input pricing ($0.06 vs $0.30/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

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