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DeepSeek-V4.1-Flash-1017 vs GPT-6 Astra

GPT-6 Astra leads the LLM Stats Score 58.1 to 51.0. DeepSeek-V4.1-Flash-1017 is 38.1x cheaper per token.

DeepSeek · OpenAI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 58.1 to 51.0, ranking #3 overall.

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

On price, DeepSeek-V4.1-Flash-1017 is roughly 38.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6 Astra also accepts a larger context window (1,050,000 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

  • cost matters — it's about 38.1x cheaper per token
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose GPT-6 Astra

  • overall performance matters — it scores 58.1 and ranks #3 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you process long inputs — it offers a 1,050,000 token context window

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
GPT-6 Astra
OpenAI
Core performance indexes
LLM Stats Score
51.0
#15
58.1
#3
Reasoning
48.6
#18
57.1
#2
Coding
39.1
#15
46.2
#3
Agents
38.6
#9
44.9
#2
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
Input price
$0.30 / M
$10.00 / M
Output price
$1.20 / M
$50.00 / M
Context window
1,048,576
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
DeepSeek-V4.1-Flash-1017
GPT-6 Astra
Math
31.8#67
33.5#56
Vision
32.2#26
40.6#4
Tool use
30.9#7
36.3#1
Multimodal
35.0#14
37.9#4
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 22 for GPT-6 Astra

4 shared

DeepSeek-V4.1-Flash-1017 outperforms in 2 benchmarks (AutomationBench, DeepSWE 1.1), while GPT-6 Astra is better at 2 benchmarks (Agents' Last Exam, Terminal-Bench 4.0).

Both models are evenly matched across the 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 33.3x cheaper than GPT-6 Astra ($10.00/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 41.7x cheaper than GPT-6 Astra ($50.00/1M tokens).

In conclusion, GPT-6 Astra 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-6 Astra
Input tokens$10.00
Output tokens$50.00
Best providerOpenAI
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-6 Astra accepts 1,050,000 input tokens compared to DeepSeek-V4.1-Flash-1017's 1,048,576 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while GPT-6 Astra is limited to 128,000 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
OpenAI
GPT-6 Astra
Input1,050,000 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-6 Astra 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-6 Astra

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while GPT-6 Astra 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-6 Astra

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while GPT-6 Astra was released on 2026-09-04.

DeepSeek-V4.1-Flash-1017 is 1 month newer than GPT-6 Astra.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

0 days ago

1mo newer
GPT-6 Astra

Sep 4, 2026

1 months ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while DeepSeek-V4.1-Flash-1017's cutoff date is not specified.

We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without DeepSeek-V4.1-Flash-1017's cutoff date.

DeepSeek-V4.1-Flash-1017

—

GPT-6 Astra

Apr 2026

Provider Availability

DeepSeek-V4.1-Flash-1017 is available from DeepSeek. GPT-6 Astra is available from OpenAI.

DeepSeek-V4.1-Flash-1017

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

GPT-6 Astra

openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $50.00/1M
* 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-6 Astra side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
GPT-6 Astra
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs GPT-6 Astra.

Which is better, DeepSeek-V4.1-Flash-1017 or GPT-6 Astra?

GPT-6 Astra leads the LLM Stats Score 58.1 to 51.0. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and GPT-6 Astra 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-6 Astra 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-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%.

Is DeepSeek-V4.1-Flash-1017 cheaper than GPT-6 Astra?

DeepSeek-V4.1-Flash-1017 is 33.3x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. GPT-6 Astra costs $10.00/M input and $50.00/M output via openai.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and GPT-6 Astra?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and GPT-6 Astra supports 1.1M 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-6 Astra?

Key differences include LLM Stats Score (51.0 vs 58.1), context window (1.0M vs 1.1M), input pricing ($0.30 vs $10.00/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and GPT-6 Astra?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and GPT-6 Astra is developed by OpenAI.

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