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DeepSeek-V4.1-Flash-1017 vs GPT-5.2 Pro

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 42.8. DeepSeek-V4.1-Flash-1017 is 110.0x cheaper per token.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 42.8, ranking #15 overall.

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

On price, DeepSeek-V4.1-Flash-1017 is roughly 110.0x 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

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 110.0x 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
  • you need open weights you can self-host or fine-tune

Choose GPT-5.2 Pro

  • you want predictable pricing at $21.00/M input and $168.00/M output

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
GPT-5.2 Pro
OpenAI
Core performance indexes
LLM Stats Score
51.0
#15
42.8
#58
Reasoning
48.6
#18
41.4
#60
Agents
38.6
#9
18.0
#90
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.30 / M
$21.00 / M
Output price
$1.20 / M
$168.00 / M
Context window
1,048,576
400,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash-1017
GPT-5.2 Pro
Math
31.8#67
38.6#24
Vision
32.2#26
23.9#68
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 7 for GPT-5.2 Pro

1 shared

DeepSeek-V4.1-Flash-1017 outperforms in 1 benchmarks (Humanity's Last Exam), while GPT-5.2 Pro is better at 0 benchmarks.

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

Mon Oct 19 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 70.0x cheaper than GPT-5.2 Pro ($21.00/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 140.0x cheaper than GPT-5.2 Pro ($168.00/1M tokens).

In conclusion, GPT-5.2 Pro 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
Mon Oct 19 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
OpenAI
GPT-5.2 Pro
Input tokens$21.00
Output tokens$168.00
Best providerOpenAI
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to GPT-5.2 Pro's 400,000 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while GPT-5.2 Pro is limited to 128,000 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
OpenAI
GPT-5.2 Pro
Input400,000 tokens
Output128,000 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash-1017 and GPT-5.2 Pro 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

GPT-5.2 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while GPT-5.2 Pro uses a proprietary 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

GPT-5.2 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while GPT-5.2 Pro was released on 2025-12-11.

DeepSeek-V4.1-Flash-1017 is 10 months newer than GPT-5.2 Pro.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

10mo newer
GPT-5.2 Pro

Dec 11, 2025

10 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. GPT-5.2 Pro is available from OpenAI.

DeepSeek-V4.1-Flash-1017

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

GPT-5.2 Pro

openai logo
OpenAI
Input Price:Input: $21.00/1MOutput Price:Output: $168.00/1M
* 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 GPT-5.2 Pro side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
GPT-5.2 Pro
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs GPT-5.2 Pro.

Which is better, DeepSeek-V4.1-Flash-1017 or GPT-5.2 Pro?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 42.8. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and GPT-5.2 Pro is made by OpenAI. 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 GPT-5.2 Pro 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%. GPT-5.2 Pro scores AIME 2025: 100.0%, HMMT 2025: 100.0%, GPQA: 93.2%, ARC-AGI: 90.5%, BrowseComp: 77.9%.

Is DeepSeek-V4.1-Flash-1017 cheaper than GPT-5.2 Pro?

DeepSeek-V4.1-Flash-1017 is 70.0x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. GPT-5.2 Pro costs $21.00/M input and $168.00/M output via openai.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and GPT-5.2 Pro?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and GPT-5.2 Pro supports 400K 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 GPT-5.2 Pro?

Key differences include LLM Stats Score (51.0 vs 42.8), context window (1.0M vs 400K), input pricing ($0.30 vs $21.00/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and GPT-5.2 Pro?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and GPT-5.2 Pro is developed by OpenAI.

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