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DeepSeek-V4.1-Flash-1017 vs Qwen3.8 Max

DeepSeek-V4.1-Flash-1017 and Qwen3.8 Max are closely matched at 51.2 and 50.7 on the LLM Stats Score. DeepSeek-V4.1-Flash-1017 is 4.7x cheaper per token.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 and Qwen3.8 Max are closely matched on the overall LLM Stats Score at 51.2 and 50.7.

In the 5 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-V4.1-Flash-1017 is roughly 4.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017

  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results
  • cost matters — it's about 4.7x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3.8 Max

  • you want predictable pricing at $1.65/M input and $4.95/M output

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Qwen3.8 Max
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
51.2
#15
50.7
#17
Reasoning
48.8
#18
49.7
#16
Coding
39.3
#14
37.1
#25
Agents
38.7
#8
35.7
#23
Cost, coverage & limits
Benchmark wins
3 of 5
2 of 5
Input price
$0.30 / M
$1.65 / M
Output price
$1.20 / M
$4.95 / M
Context window
1,048,576
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
DeepSeek-V4.1-Flash-1017
Qwen3.8 Max
Math
31.8#69
33.5#56
Vision
32.3#25
37.8#7
Tool use
31.3#6
29.5#15
Multimodal
35.0#14
38.8#3
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 42 for Qwen3.8 Max

5 shared

DeepSeek-V4.1-Flash-1017 outperforms in 3 benchmarks (AutomationBench, DeepSWE 1.1, NL2Repo), while Qwen3.8 Max is better at 2 benchmarks (Agents' Last Exam, Humanity's Last Exam).

DeepSeek-V4.1-Flash-1017 has a slight edge in benchmark performance.

Sat Oct 24 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4.1-Flash-1017 costs less

For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 5.5x cheaper than Qwen3.8 Max ($1.65/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 4.1x cheaper than Qwen3.8 Max ($4.95/1M tokens).

In conclusion, Qwen3.8 Max is more expensive than DeepSeek-V4.1-Flash-1017.*

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

Lowest available price from all providers
Sat Oct 24 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input tokens$1.65
Output tokens$4.95
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

1636.8B diff

Qwen3.8 Max has 1636.8B more parameters than DeepSeek-V4.1-Flash-1017, making it 214.5% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
763.2B
DeepSeek-V4.1-Flash-1017
2400.0B
Qwen3.8 Max

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to Qwen3.8 Max's 256,000 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while Qwen3.8 Max is limited to 256,000 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Max
Input256,000 tokens
Output256,000 tokens
Sat Oct 24 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and Qwen3.8 Max support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Qwen3.8 Max uses Qwen3.8-Max License.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Qwen3.8 Max

Qwen3.8-Max License

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Qwen3.8 Max was released on 2026-08-02.

DeepSeek-V4.1-Flash-1017 is 3 months newer than Qwen3.8 Max.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

1 weeks ago

2mo newer
Qwen3.8 Max

Aug 2, 2026

2 months ago

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-V4.1-Flash-1017 is available from DeepSeek. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Qwen3.8 Max

deepinfra logo
Deepinfra
Input Price:Input: $1.65/1MOutput Price:Output: $4.95/1M
fireworks logo
Fireworks
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
novita logo
Novita
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
together logo
Together
Input Price:Input: $2.50/1MOutput Price:Output: $6.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Qwen3.8 Max side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Qwen3.8 Max
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Qwen3.8 Max.

Which is better, DeepSeek-V4.1-Flash-1017 or Qwen3.8 Max?

DeepSeek-V4.1-Flash-1017 and Qwen3.8 Max are closely matched on the LLM Stats Score at 51.2 and 50.7. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Qwen3.8 Max is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash-1017 compare to Qwen3.8 Max in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. Qwen3.8 Max scores PaperBench: 93.0%, MRCR v2 (8-needle): 92.9%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%.

Is DeepSeek-V4.1-Flash-1017 cheaper than Qwen3.8 Max?

DeepSeek-V4.1-Flash-1017 is 5.5x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. Qwen3.8 Max costs $1.65/M input and $4.95/M output via deepinfra.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Qwen3.8 Max?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Qwen3.8 Max supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash-1017 and Qwen3.8 Max?

Key differences include LLM Stats Score (51.2 vs 50.7), context window (1.0M vs 256K), input pricing ($0.30 vs $1.65/M), licensing (MIT vs Qwen3.8-Max License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Qwen3.8 Max?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Qwen3.8 Max is developed by Alibaba Cloud / Qwen Team.

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