DeepSeek-V4.1-Flash-1017 vs Solar Pro 4
DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 35.0. DeepSeek-V4.1-Flash-1017 and Solar Pro 4 cost the same.
DeepSeek · Upstage · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 35.0, ranking #15 overall.
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 reasoning and coding — it leads those capability indexes
- 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 Solar Pro 4
- you want predictable pricing at $0.30/M input and $1.20/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for DeepSeek-V4.1-Flash-1017 · 9 for Solar Pro 4
DeepSeek-V4.1-Flash-1017 and Solar Pro 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) costs the same as Solar Pro 4 ($0.30/1M tokens).
For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) costs the same as Solar Pro 4 ($1.20/1M tokens).
In conclusion, DeepSeek-V4.1-Flash-1017 and Solar Pro 4 cost the same.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to Solar Pro 4's 524,288 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while Solar Pro 4 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas Solar Pro 4 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-V4.1-Flash-1017
Solar Pro 4
License
Usage and distribution terms
DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Solar Pro 4 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Solar Pro 4 was released on 2026-08-06.
DeepSeek-V4.1-Flash-1017 is 2 months newer than Solar Pro 4.
Oct 17, 2026
2 days ago
2mo newerAug 6, 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.
Provider Availability
DeepSeek-V4.1-Flash-1017 is available from DeepSeek. Solar Pro 4 is available from Upstage.
DeepSeek-V4.1-Flash-1017
Solar Pro 4
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash-1017 and Solar Pro 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash-1017 vs Solar Pro 4.
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