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Claude Sonnet 4.5vs.GPT-6.1 Terra

Which one is better?

GPT-6.1 Terra is clearly ahead in the overall index and is cheaper too: Claude Sonnet 4.5 costs 3 times as much per token.

IntelligenceOverall index, 0 to 100 · higher is better
below 1

Claude Sonnet 4.5

Rank 62 to 76

67

GPT-6.1 Terra

Rank 12 to 27

SpeedTokens per second · higher is better
48

Claude Sonnet 4.5

slow

91

GPT-6.1 Terra

fairly slow

PriceDollars per 1M tokens · lower is better
$6

Claude Sonnet 4.5

expensive

$2

GPT-6.1 Terra

fairly expensive

Claude Sonnet 4.5

Subscription

No Anthropic subscription includes this model. Through other providers from ≈ €6.36 a month (ElevenLabs Starter, with limited credits). 44 plans in Germany.

Via API

$3 input, $15 output per 1M tokens, unchanged since our price tracking began on Aug 14, 2026.

Note
There is a successor: Claude Sonnet 4.6 (rank 43 to 54, same price).

GPT-6.1 Terra

Subscription

Subscriptions in Germany: n/a

Via API

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

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.

Sonnet 4.5 ahead: 0GPT-6.1 Terra ahead: 3level: 0too little data: 5of 8 areas

Sonnet 4.5GPT-6.1 Terra0 to 100, higher is better
Areas in the overall index
CodingGPT-6.1 Terra aheadSonnet 4.5: below 1GPT-6.1 Terra: 84
Reasoningonly GPT-6.1 Terra has a scoreSonnet 4.5: not enough dataGPT-6.1 Terra: 88
Knowledgeonly GPT-6.1 Terra has a scoreSonnet 4.5: not enough dataGPT-6.1 Terra: 80
AgentsGPT-6.1 Terra aheadSonnet 4.5: 2GPT-6.1 Terra: 57
Multimodalonly GPT-6.1 Terra has a scoreSonnet 4.5: not enough dataGPT-6.1 Terra: 70
Specialist fields
FinanceGPT-6.1 Terra aheadSonnet 4.5: 2GPT-6.1 Terra: 45
Legaltoo little dataSonnet 4.5: below 1GPT-6.1 Terra: 8
Healthonly Sonnet 4.5 has a scoreSonnet 4.5: 7GPT-6.1 Terra: not enough data
Show 1 more areas that do not count toward the overall index
Sonnet 4.5GPT-6.1 Terra0 to 100, higher is better
Productivityonly Sonnet 4.5 has a scoreSonnet 4.5: 1GPT-6.1 Terra: 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.

Claude Sonnet 4.5

Claude Sonnet 4.5: Pelican on a bicycle
A community classic for free-form SVG drawing.

Reasoning (requested): high

Current attempt
Run date
Oct 1, 2026
API provider
openrouter
Requested API model
anthropic/claude-sonnet-4.5
API model reported in response
anthropic/claude-sonnet-4.5
Reasoning setting
high
Pinned endpoint
Anthropic | anthropic/claude-4.5-sonnet-20250929
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Passed, not a quality rating
Response time
30.2 s

Visually reviewed. This individual test does not establish overall model quality.

GPT-6.1 Terra

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)
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.

MetricClaude Sonnet 4.5GPT-6.1 Terra
Intelligence
Overall index0 to 100, higher is betterbelow 167
RankRank 62 to 76 of 95Rank 12 to 27 of 95
Price per 1M tokens
Inputwhat you send$3$1above 272,000 tokens: $2
Outputwhat the model writes$15$5above 272,000 tokens: $7.50
Speed
Tokens per second4891
Technical
Context windowhow much text the model reads at once200,000 tokens≈ 300 A4 pages1.05 M tokens≈ 1,580 A4 pages
Knowledge cutoffJanuary 2025Jun 1, 2026
ReleasedSeptember 2025Oct 26, 2026
AvailabilityActiveActive
Open weightsnono
  • 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: Claude Sonnet 4.5B: GPT-6.1 Terra

CritPt v2Overall · higher is betterClaude Sonnet 4.5: 0.0%GPT-6.1 Terra: 4.9%Artificial AnalysisAs of 10/29/2026
MMMU-ProOverall · higher is betterClaude Sonnet 4.5: 65.2%GPT-6.1 Terra: 76.0%Artificial AnalysisAs of 10/29/2026

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