AI models / Compare
DeepSeek-V4.1-Flash-1017 vs GPT-6.1 Terra: which delivered after 7 days?
DeepSeek-V4.1-Flash-1017 is stamped Delivered; GPT-6.1 Terra is still Too early to call, so this comparison isn't settled yet.
| DeepSeek-V4.1-Flash-1017 | GPT-6.1 Terra | |
|---|---|---|
| Verdict | Delivered | Too early |
| Claims held | 3 | 3 |
| Claims mixed | 1 | 0 |
| Claims failed | 0 | 1 |
| Claims unclear | 0 | 0 |
| User reports | 14 | 2 |
| Launched | 17 Oct 2026 | 26 Oct 2026 |
| Last stamped | 30 Oct 2026 | 30 Oct 2026 |
No. 008 · DeepSeek
DeepSeek-V4.1-Flash-1017
Independent benchmarks now confirm the gains over the September build, and it is live and MIT-licensed as promised; it is still verbose and sometimes bends task rules.
- Launched
- 17 Oct 2026
- Stamped
- 30 Oct 2026
- Claims
- ✓3 held · ~1 mixed · ✗0 failed · ?0 unclear
- Reports
- 14 (5 praise · 5 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”✓ Holds
“This repository and the model weights are licensed under the MIT License.”✓ Holds
No. 011 · OpenAI
GPT-6.1 Terra
Day 4 of 7Cheap and the coding gain is real, but independent timing finds it about 15 to 25% faster than Sol, nowhere near 3x.
- Launched
- 26 Oct 2026
- Stamped
- 30 Oct 2026
- Claims
- ✓3 held · ~0 mixed · ✗1 failed · ?0 unclear
- Reports
- 2 (0 praise · 0 problem · 2 mixed)
What they claimed
“At max effort, Terra is over three times as token efficient as Claude Opus 5.5, and one-fourth its price per token, resulting in a ~9x lower cost per task.”✓ Holds
“Terra is also much quicker, completing tasks over three times faster than both GPT-6 Astra and GPT-6.1 Sol.”✗ Fails
“At maximum reasoning effort, GPT‑6.1 Terra solves 50.3% of tasks, more than double GPT‑5.6 Terra’s published score of 21.5%.”✓ Holds
“Standard API pricing is $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens.”✓ Holds
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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