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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.
BorealGemini 4 ArgonClaude Fable 5.1Claude Opus 5Up to 4 models — remove one to add another.

Overview

Lab
Creatify
Google DeepMind
Anthropic
Anthropic
Released
Sep 15, 2026
Sep 30, 2026
Sep 1, 2026
Jul 24, 2026
Weights
Proprietary
Proprietary
Proprietary
Proprietary
Input price
$/M tok
—
$2.00Best
$10
$5.00
Output price
$/M tok
—
$10Best
$50
$25
Blended price
$/M tok · 3:1 in:out
—
$4.00Best
$20
$10
Output speed
tok/s
—
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48
54Best
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
92.4±4.5Best
#2/119Verifiedbest value
86.2±3.6
#4/119Mixed
81.5±3.2
#7/119Mixed
Not ranked
94.7±5.9Best
#1/156Verifiedbest value
94.4±4.6
#2/156Verified
89.5±4.3
#3/156Verified
Not ranked
Not ranked
86.7±7.3Best
#4/91Verified
76.8±4.8
#11/91Verified
Not ranked
94.5±5.1
#4/200Verified
95.7±3.7Best
#2/200Verified
91.8±3.7
#6/200Verified
Not ranked
Not ranked
89.8±5.8Best
#2/178Verified
84.6±4.6
#6/178Mixed
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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~#2/14~93.3%Estimated
estimated from related benchmarks
~#2/14~93.5%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.

MMMLU
day 0
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~#2/5~92.3%Estimated
estimated from related benchmarks
~#2/5~92.4%Estimated
estimated from related benchmarks
~#2/5~92.1%Estimated
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.

MMMU
day 0
—
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~#2/3~71.3%Estimated
estimated from related benchmarks
~#2/3~71.3%Estimated
estimated from related benchmarks
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~#2/9~86.0%Estimated
estimated from related benchmarks
~#2/9~84.8%Estimated
estimated from related benchmarks
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~#2/8~91.2%Estimated
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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~#2/32~99.1%Estimated
estimated from related benchmarks
~#2/32~99.4%Estimated
estimated from related benchmarks
~#2/32~99.3%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
~#3/12~84.0%Estimated
estimated from related benchmarks
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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