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DeepSeek-V4.1-Flash-1017 vs Gemini 4 Argon: which delivered after 7 days?
Same stamp after day 7: both DeepSeek-V4.1-Flash-1017 and Gemini 4 Argon are stamped Partly. The claim tallies below show where each one held and where it didn't.
| DeepSeek-V4.1-Flash-1017 | Gemini 4 Argon | |
|---|---|---|
| Verdict | Partly | Partly |
| Claims held | 2 | 0 |
| Claims mixed | 2 | 2 |
| Claims failed | 0 | 1 |
| Claims unclear | 0 | 1 |
| User reports | 12 | 10 |
| Launched | 17 Oct 2026 | 13 Oct 2026 |
| Last stamped | 25 Oct 2026 | 22 Oct 2026 |
No. 008 · DeepSeek
DeepSeek-V4.1-Flash-1017
It is live and MIT-licensed as promised, but users split on whether it finishes faster and codes better; some see shorter runs, others overthinking.
- Launched
- 17 Oct 2026
- Stamped
- 25 Oct 2026
- Claims
- ✓2 held · ~2 mixed · ✗0 failed · ?0 unclear
- Reports
- 12 (4 praise · 4 problem · 4 mixed)
What they claimed
“Now live on our website, app, and API.”✓ Holds
“Stronger benchmark performance, faster task completion, and shorter outputs than the previous version”~ Mixed
“DeepSeek-V4.1-Flash-1017 uses reinforcement learning with self-feedback to improve end-to-end project development”~ Mixed
“This repository and the model weights are licensed under the MIT License.”✓ Holds
No. 005 · Google
Gemini 4 Argon
It is live in the API and Gemini app, but the advertised 95% cache discount gave users zero cache hits, and many Pro and Business subscribers still can't use it in Antigravity.
- Launched
- 13 Oct 2026
- Stamped
- 22 Oct 2026
- Claims
- ✓0 held · ~2 mixed · ✗1 failed · ?1 unclear
- Reports
- 10 (1 praise · 8 problem · 1 mixed)
What they claimed
“Gemini 4 Argon is now globally available today for developers and enterprises via the API in AI Studio and Gemini platform, for Google AI Ultra subscribers in Google Antigravity, and Google AI Ultra and Pro subscribers in the Gemini app and AI Mode in Search.”~ Mixed
“Today, we’re rolling out Gemini 4 Argon directly inside Google Antigravity for Google AI Pro and Ultra subscribers — available in the Antigravity desktop app and the Antigravity CLI.”~ Mixed
“The model launches today at an introductory price of $2 per million input tokens and $10 per million output tokens (with cached input tokens at 95% off).”✗ Fails
“Its depth and precision across multi-step tasks leads Argon to outperform other frontier models on benchmarks across domains, ranking #1 on the Vals Index”? Unclear
Both stamps come from the public user reports linked on each receipt, under the same method. Verdicts are opinion and are never paid for.
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