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GPT-6.1 Terravs.DeepSeek-V4-Flash

Which one is better?

Only GPT-6.1 Terra has a place in the overall index so far; DeepSeek-V4-Flash does not have enough benchmark results yet. DeepSeek-V4-Flash is cheaper: GPT-6.1 Terra costs 6.7 times (input) and 16.7 times (output) as much per token.

IntelligenceOverall index, 0 to 100 · higher is better
67

GPT-6.1 Terra

Rank 12 to 27

n/a

DeepSeek-V4-Flash

not ranked yet

SpeedTokens per second · higher is better
91

GPT-6.1 Terra

fairly slow

119

DeepSeek-V4-Flash

fairly fast

PriceDollars per 1M tokens · lower is better
$2

GPT-6.1 Terra

fairly expensive

$0.19

DeepSeek-V4-Flash

cheap

GPT-6.1 Terra

Subscription

Subscriptions in Germany: n/a

Via API

$1 input, $5 output per 1M tokens.

DeepSeek-V4-Flash

Subscription

No DeepSeek subscription includes this model. Through other providers from ≈ €1.06 a month (Command Code Go, with limited credits). 10 plans in Germany.

Via API

$0.15 input, $0.30 output per 1M tokens according to the provider; the price index has listed it at $0.13 and $0.26 since Oct 26, 2026.

Note
There is a successor: DeepSeek-V4.1-Flash (rank 23 to 34, $0.15 input, $0.60 output).

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: 2DeepSeek-V4-Flash ahead: 0level: 0too little data: 5of 7 areas

GPT-6.1 TerraDeepSeek-V4-Flash0 to 100, higher is better
Areas in the overall index
Codingonly GPT-6.1 Terra has a scoreGPT-6.1 Terra: 84DeepSeek-V4-Flash: not enough data
ReasoningGPT-6.1 Terra aheadGPT-6.1 Terra: 88DeepSeek-V4-Flash: 28
Knowledgeonly GPT-6.1 Terra has a scoreGPT-6.1 Terra: 80DeepSeek-V4-Flash: not enough data
AgentsGPT-6.1 Terra aheadGPT-6.1 Terra: 57DeepSeek-V4-Flash: 25
Multimodalonly GPT-6.1 Terra has a scoreGPT-6.1 Terra: 70DeepSeek-V4-Flash: not enough data
Specialist fields
Financeonly GPT-6.1 Terra has a scoreGPT-6.1 Terra: 45DeepSeek-V4-Flash: not enough data
Legalonly GPT-6.1 Terra has a scoreGPT-6.1 Terra: 8DeepSeek-V4-Flash: not enough data

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-Flash

The response reached the token limit. No complete recording is available.

Reasoning (requested): high

Current attempt
Run date
Oct 5, 2026
API provider
openrouter
Requested API model
deepseek/deepseek-v4-flash-0731
API model reported in response
deepseek/deepseek-v4-flash-0731
Reasoning setting
high
Pinned endpoint
StreamLake | deepseek/deepseek-v4-flash-20260731
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Failed
Response time
97.8 s

Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.

Earlier attempts (3)
  • Oct 2, 2026API request failedReasoning setting: high
  • Oct 1, 2026API request failedReasoning setting: high
  • Sep 7, 2026API request failedReasoning setting: high
Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)
SVG short test

There is no shared test round for this selection. Results from different rounds are not mixed.

All data side by side

The better value is bold. For the overall index only when the gap is clear.

MetricGPT-6.1 TerraDeepSeek-V4-Flash
Intelligence
Overall index0 to 100, higher is better67n/a
RankRank 12 to 27 of 95not ranked yet
Price per 1M tokens
Inputwhat you send$1above 272,000 tokens: $2$0.15
Outputwhat the model writes$5above 272,000 tokens: $7.50$0.30
Speed
Tokens per second91119
Technical
Context windowhow much text the model reads at once1.05 M tokens≈ 1,580 A4 pages1 M tokens≈ 1,500 A4 pages
Knowledge cutoffJun 1, 2026n/a
ReleasedOct 26, 2026Apr 24, 2026
AvailabilityActiveLimited access
Open weightsnoyes
  • 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

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-Flash

CritPt v2Overall · higher is betterGPT-6.1 Terra: 28.0%DeepSeek-V4-Flash: 16.6%Artificial AnalysisAs of 10/29/2026
GDPval-AAOverall · higher is betterGPT-6.1 Terra: 1,476.05 eloDeepSeek-V4-Flash: 1,440.87 eloArtificial AnalysisAs of 10/29/2026

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