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DeepSeek-V4.1-Flash-1017 vs GPT-6.1 Sol

DeepSeek-V4.1-Flash-1017 and GPT-6.1 Sol are closely matched at 51.0 and 53.5 on the LLM Stats Score. DeepSeek-V4.1-Flash-1017 is 7.6x cheaper per token.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 and GPT-6.1 Sol are closely matched on the overall LLM Stats Score at 51.0 and 53.5.

The models split the 2 individual benchmarks reported for both models evenly.

On price, DeepSeek-V4.1-Flash-1017 is roughly 7.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6.1 Sol 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 7.6x 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-6.1 Sol

  • 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-6.1 Sol
OpenAI
Core performance indexes
LLM Stats Score
51.0
#15
53.5
#7
Reasoning
48.6
#18
51.5
#8
Coding
39.1
#15
38.4
#19
Agents
38.6
#9
37.9
#13
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.30 / M
$2.00 / M
Output price
$1.20 / M
$10.00 / 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-6.1 Sol
Math
31.8#67
34.9#47
Vision
32.2#26
35.8#11
Tool use
30.9#7
22.6#53
Multimodal
35.0#14
35.5#11
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 17 for GPT-6.1 Sol

2 shared

DeepSeek-V4.1-Flash-1017 outperforms in 1 benchmarks (DeepSWE 1.1), while GPT-6.1 Sol is better at 1 benchmark (Humanity's Last Exam (no tools, text-only)).

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 6.7x cheaper than GPT-6.1 Sol ($2.00/1M tokens).

For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 8.3x cheaper than GPT-6.1 Sol ($10.00/1M tokens).

In conclusion, GPT-6.1 Sol 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-6.1 Sol
Input tokens$2.00
Output tokens$10.00
Best providerOpenAI
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-6.1 Sol 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-6.1 Sol is limited to 128,000 tokens.

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
OpenAI
GPT-6.1 Sol
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-6.1 Sol 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-6.1 Sol

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while GPT-6.1 Sol 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-6.1 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while GPT-6.1 Sol was released on 2026-09-29.

DeepSeek-V4.1-Flash-1017 is 1 month newer than GPT-6.1 Sol.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

0 days ago

2w newer
GPT-6.1 Sol

Sep 29, 2026

2 weeks ago

Knowledge Cutoff

When training data ends

GPT-6.1 Sol 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-6.1 Sol'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-6.1 Sol

Apr 2026

Provider Availability

DeepSeek-V4.1-Flash-1017 is available from DeepSeek. GPT-6.1 Sol is available from OpenAI.

DeepSeek-V4.1-Flash-1017

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

GPT-6.1 Sol

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M
* 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-6.1 Sol side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
GPT-6.1 Sol
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs GPT-6.1 Sol.

Which is better, DeepSeek-V4.1-Flash-1017 or GPT-6.1 Sol?

DeepSeek-V4.1-Flash-1017 and GPT-6.1 Sol are closely matched on the LLM Stats Score at 51.0 and 53.5. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and GPT-6.1 Sol 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-6.1 Sol 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-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%.

Is DeepSeek-V4.1-Flash-1017 cheaper than GPT-6.1 Sol?

DeepSeek-V4.1-Flash-1017 is 6.7x cheaper for input tokens. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek. GPT-6.1 Sol costs $2.00/M input and $10.00/M output via openai.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and GPT-6.1 Sol?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and GPT-6.1 Sol 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-6.1 Sol?

Key differences include LLM Stats Score (51.0 vs 53.5), context window (1.0M vs 1.1M), input pricing ($0.30 vs $2.00/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and GPT-6.1 Sol?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and GPT-6.1 Sol is developed by OpenAI.

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