DeepSeek V4.1 Flash 1017 vs Gemini 4 Argon
DeepSeek V4.1 Flash 1017 (DeepSeek) and Gemini 4 Argon (Google DeepMind) compared point by point: measured performance, pricing, context and capabilities.
Data as of October 22, 2026
Side-by-side comparison
| Criterion | DeepSeek V4.1 Flash 1017 | Gemini 4 Argon |
|---|---|---|
| Developer | DeepSeek | Google DeepMind |
| Released | October 17, 2026 | October 13, 2026 |
| Capability index | 90.6 / 100 | 95.3 / 100 |
| Input price | $0.15 | $2 |
| Output price | $0.60 | $10 |
| Cost of a typical task | $0.004 | $0.06 |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Maximum output | 393,216 tokens | 32,768 tokens |
| Reasoning mode | Yes | Yes |
| Tool calling | Yes | Yes |
| Accepted inputs | text, image | text, image, video, audio, PDF |
| Open weights | Yes | No |
| Knowledge cutoff | May 2025 | March 2026 |
The match-up at a glance
DeepSeek V4.1 Flash 1017 and Gemini 4 Argon are the flagship models of two major developers, one from DeepSeek, the other from Google DeepMind. DeepSeek V4.1 Flash 1017 was released on October 17, 2026, Gemini 4 Argon on October 13, 2026.
All figures below come from public sources checked on October 22, 2026: models.dev and OpenRouter for prices and capabilities, Epoch AI for scores.
What the benchmarks say
On our capability index, DeepSeek V4.1 Flash 1017 scores 90.6 out of 100 and Gemini 4 Argon 95.3. Gemini 4 Argon leads by 4.7 points.
On the 3 benchmarks reported for both, DeepSeek V4.1 Flash 1017 wins 0 times and Gemini 4 Argon 3:
- GPQA Diamond (PhD-level science questions): DeepSeek V4.1 Flash 1017 93.2%, Gemini 4 Argon 96.4%
- OTIS Mock AIME (competition mathematics problems): DeepSeek V4.1 Flash 1017 99.4%, Gemini 4 Argon 100%
- FrontierMath (very hard research-level mathematics): DeepSeek V4.1 Flash 1017 71.2%, Gemini 4 Argon 86%
Pricing
DeepSeek V4.1 Flash 1017 costs $0.15 per million input tokens and $0.60 per million output tokens; Gemini 4 Argon costs $2 and $10.
For a typical agent task (read 20,000 tokens, write 2,000), expect $0.004 with DeepSeek V4.1 Flash 1017 versus $0.06 with Gemini 4 Argon. DeepSeek V4.1 Flash 1017 is 14.3 times cheaper, a gap that adds up quickly over 1,000 tasks: $55.8 difference.
Run the numbers with your own volumes in the agent cost calculator.
Features and limits
Both models have the same context window: 1,048,576 tokens, roughly 1,573 pages.
Reasoning mode: DeepSeek V4.1 Flash 1017 yes, Gemini 4 Argon yes. Tool calling: DeepSeek V4.1 Flash 1017 yes, Gemini 4 Argon yes. Image input: DeepSeek V4.1 Flash 1017 yes, Gemini 4 Argon yes.
DeepSeek V4.1 Flash 1017 publishes its weights and can run on your servers; Gemini 4 Argon is a closed model, available only through an API.
Knowledge cutoff: May 2025 for DeepSeek V4.1 Flash 1017, March 2026 for Gemini 4 Argon.
In short
Our reading of the data:
- Choose DeepSeek V4.1 Flash 1017 for a lower cost and open weights (you can host it yourself).
- Choose Gemini 4 Argon for a higher capability index.
This verdict relies on public figures; it does not replace a trial on your own tasks.
Other comparisons
Frequently asked questions
DeepSeek V4.1 Flash 1017 or Gemini 4 Argon: which is better?
On our index (Epoch AI data), DeepSeek V4.1 Flash 1017 scores 90.6 and Gemini 4 Argon 95.3 out of 100. The best choice also depends on price and on your use case.
Which one is cheaper?
DeepSeek V4.1 Flash 1017. To read 20,000 tokens and write 2,000, expect $0.004 with DeepSeek V4.1 Flash 1017 and $0.06 with Gemini 4 Argon (prices as of October 22, 2026).
Which one has the larger context window?
Neither: both accept 1,048,576 tokens.
Can I run DeepSeek V4.1 Flash 1017 or Gemini 4 Argon on my own servers?
Only DeepSeek V4.1 Flash 1017, whose weights are published. Gemini 4 Argon is used through an API.
Data sources
- Models.dev — Model data: models.dev (open-source project)
- OpenRouter — Market prices cross-checked with OpenRouter
- Epoch AI — AI Benchmarking Hub — Epoch AI, “AI Benchmarking Hub”, epoch.ai, CC BY 4.0
Data as of October 22, 2026
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