DeepSeek-V4.1-Flash-1017 vs Gemini 4 Argon
DeepSeek-V4.1-Flash-1017 and Gemini 4 Argon are closely matched at 51.0 and 55.0 on the LLM Stats Score. DeepSeek-V4.1-Flash-1017 is 7.6x cheaper per token.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash-1017 and Gemini 4 Argon are closely matched on the overall LLM Stats Score at 51.0 and 55.0.
In the 4 individual benchmarks reported for both models, Gemini 4 Argon wins 3; this is a narrower head-to-head signal than the composite indexes.
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.
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 Gemini 4 Argon
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
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 · 19 for Gemini 4 Argon
DeepSeek-V4.1-Flash-1017 outperforms in 1 benchmarks (AutomationBench), while Gemini 4 Argon is better at 3 benchmarks (Agents' Last Exam, DeepSWE 1.1, Terminal-Bench 4.0).
Gemini 4 Argon shows notably better performance in the majority of benchmarks.
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) is 6.7x cheaper than Gemini 4 Argon ($2.00/1M tokens).
For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 8.3x cheaper than Gemini 4 Argon ($10.00/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than DeepSeek-V4.1-Flash-1017.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while DeepSeek-V4.1-Flash-1017 is limited to 393,216 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash-1017 and Gemini 4 Argon support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4.1-Flash-1017
Gemini 4 Argon
License
Usage and distribution terms
DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Gemini 4 Argon 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 Gemini 4 Argon was released on 2026-09-30.
DeepSeek-V4.1-Flash-1017 is 1 month newer than Gemini 4 Argon.
Oct 17, 2026
2 days ago
2w newerSep 30, 2026
2 weeks 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. Gemini 4 Argon is available from Google.
DeepSeek-V4.1-Flash-1017
Gemini 4 Argon
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash-1017 and Gemini 4 Argon side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash-1017 vs Gemini 4 Argon.
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