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Model Pareto

Compare models

Side by side: quality per category, price, speed, and every benchmark cell with where it came from. Pick up to four.
BorealClaude Opus 5.5Gemini 4 ArgonClaude Sonnet 5.5Up to 4 models — remove one to add another.

Overview

Lab
Creatify
Anthropic
Google DeepMind
Anthropic
Released
Sep 15, 2026
Sep 22, 2026
Sep 30, 2026
Sep 28, 2026
Weights
Proprietary
Proprietary
Proprietary
Proprietary
Input price
$/M tok
—
$4.00
$2.00Best
$2.00Best
Output price
$/M tok
—
$20
$10Best
$10Best
Blended price
$/M tok · 3:1 in:out
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$8.00
$4.00Best
$4.00Best
Output speed
tok/s
—
92
—
115Best
Context
tokens
—
1MBest
1MBest
1MBest
Price per second
1080p
$0.010
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Quality by category

0–100 within each category (100 = best tracked model). Rank is among all models ranked there. Click a row to focus it.

Not ranked
95.7±3.6Best
#1/119Mixedbest value
92.4±4.5
#2/119Verifiedbest value
90.6±5.2
#3/119Mixed
Not ranked
88.3±4.3
#5/156Verified
94.7±5.9Best
#1/156Verifiedbest value
Not ranked
Not ranked
94.0±4.8
#2/91Verifiedbest value
Not ranked
Not ranked
Not ranked
99.9±2.6Best
#1/200Verifiedbest value
94.5±5.1
#4/200Verified
95.3±4.9
#3/200Verifiedbest value
Not ranked
99.6±4.1
#1/178Verifiedbest value
Not ranked
Not ranked
14.7±7.5
#34/36Verifiedbest value
Not ranked
Not ranked
Not ranked

Coding benchmarks

Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, estimated from related benchmarks.

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~#2/14~94.7%Estimated
estimated from related benchmarks
~#2/14~93.3%Estimated
estimated from related benchmarks
~#2/14~93.8%Estimated
estimated from related benchmarks

Writing & chat benchmarks

Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, estimated from related benchmarks.

Vision benchmarks

Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, estimated from related benchmarks.

Hard reasoning benchmarks

Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, estimated from related benchmarks.

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~#2/184~96.1%Estimated
estimated from related benchmarks
~#2/184~96.1%Estimated
estimated from related benchmarks
~#2/184~96.1%Estimated
estimated from related benchmarks
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~#2/32~99.2%Estimated
estimated from related benchmarks
~#2/32~99.1%Estimated
estimated from related benchmarks
~#2/32~99.0%Estimated
estimated from related benchmarks

Agents benchmarks

Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, estimated from related benchmarks.

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~#2/12~84.6%Estimated
estimated from related benchmarks
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~#2/5~58.6%Estimated
estimated from related benchmarks
—
—
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~#2/18~92.3%Estimated
estimated from related benchmarks
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Not comparable across labs (1)

Video generation benchmarks

Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, estimated from related benchmarks.

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~last/25below measured range (<1000)Estimated
estimated from related benchmarks
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VBench
day 0
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