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- GPT-6.1 Terra vs. DeepSeek V4.1 Flash 1017
GPT-6.1 Terravs.DeepSeek V4.1 Flash 1017
Which one is better?
Level in the overall index: the gap is too small for a clear winner. DeepSeek V4.1 Flash 1017 is cheaper: GPT-6.1 Terra costs 6.7 times (input) and 8.3 times (output) as much per token.
GPT-6.1 Terra
Rank 12 to 27
DeepSeek V4.1 Flash 1017
Rank 14 to 22
GPT-6.1 Terra
fairly slow
DeepSeek V4.1 Flash 1017
fast
GPT-6.1 Terra
fairly expensive
DeepSeek V4.1 Flash 1017
cheap
GPT-6.1 Terra
- Subscription
Subscriptions in Germany: n/a
- Via API
$1 input, $5 output per 1M tokens.
DeepSeek V4.1 Flash 1017
- Subscription
No DeepSeek subscription includes this model. Through other providers from ≈ €6.36 a month (Token Plan Individual Lite, with limited credits). 7 plans in Germany.
- Via API
$0.15 input, $0.60 output per 1M tokens according to the provider; the price index has listed it at $0.30 and $1 since Oct 26, 2026.
Overall index with data through Oct 29, 2026 · Prices from Oct 29, 2026 · Speed: measured by Artificial Analysis · Subscriptions as of Oct 24, 2026 · Subscription prices incl. VAT
Where is the difference?
Values from 0 to 100 per task area. We only name a winner when the gap is large enough and there are enough tests.
GPT-6.1 Terra ahead: 4DeepSeek V4.1 Flash 1017 ahead: 2level: 1too little data: 0of 7 areas
See for yourself: same task, one attempt
The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.
Pelican on a bicycle
A community classic for free-form SVG drawing.
GPT-6.1 Terra
Not tested yet
DeepSeek V4.1 Flash 1017
Not tested yet
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | GPT-6.1 Terra | DeepSeek V4.1 Flash 1017 |
|---|---|---|
| Intelligence | ||
| Overall index0 to 100, higher is better | 67 | 64 |
| Rank | Rank 12 to 27 of 95 | Rank 14 to 22 of 95 |
| Price per 1M tokens | ||
| Inputwhat you send | $1above 272,000 tokens: $2 | $0.15 |
| Outputwhat the model writes | $5above 272,000 tokens: $7.50 | $0.60 |
| Speed | ||
| Tokens per second | 91 | 178 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,580 A4 pages | 1.05 M tokens≈ 1,570 A4 pages |
| Knowledge cutoff | Jun 1, 2026 | n/a |
| Released | Oct 26, 2026 | Oct 17, 2026 |
| Availability | Active | Open Source |
| Open weights | no | yes |
- GPT-6.1 Terra, 12-hour cache write: The table's cache-write rate covers 30-minute retention. With 12-hour retention it is $2.50 per 1M tokens through 272,000 input tokens, $5 above. Source
- GPT-6.1 Terra, Long-context billing: Above 272,000 input tokens, the higher rates apply to the entire request. Input and cache rates double, while output costs 1.5 times the standard rate. Source
- GPT-6.1 Terra, Batch and Flex pricing: 50% off standard pricing Source
- GPT-6.1 Terra, Fast pricing: Fast mode costs twice the standard price Source
- GPT-6.1 Terra, Regional processing: 10% surcharge over standard processing Source
- DeepSeek V4.1 Flash 1017: At peak times (Mon, Tue, Wed, Thu, Fri, 01:00-04:00 UTC; Mon, Tue, Wed, Thu, Fri, 06:00-10:00 UTC) the price is $0.30 input and $1.20 output per 1M tokens. The table shows the off-peak price.
- DeepSeek V4.1 Flash 1017, Time-based API pricing: Off peak: $0.15 input, $0.60 output, and $0.003 cached input. Weekdays UTC 01:00-04:00 and 06:00-10:00: $0.30, $1.20, and $0.006. Chinese public holidays are excluded. Source
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Shared benchmarks
Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.
A: GPT-6.1 TerraB: DeepSeek V4.1 Flash 1017
Show 54 more benchmarks
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