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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.
Gemini Omni 1.1 FlashGemini Omni FlashSarvam 105BWan 3.0Up to 4 models — remove one to add another.

Overview

Lab
Google DeepMind
Google DeepMind
Sarvam AI
Alibaba Qwen
Released
Aug 27, 2026
May 19, 2026
Mar 6, 2026
Aug 19, 2026
Weights
Proprietary
Proprietary
Open
Proprietary
Input price
$/M tok
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$0.042
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Output price
$/M tok
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$0.17
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Blended price
$/M tok · 3:1 in:out
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$0.074
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Context
tokens
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128K
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Price per second
1080p
$0.10Best
$0.10Best
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$0.20

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
Not ranked
28.0±9.5
#97/146Verified
Not ranked
Not ranked
Not ranked
39.0±5.8
#88/182Verifiedbest value
Not ranked
Not ranked
Not ranked
31.3±10.0
#85/173Verifiedbest value
Not ranked
94.3±6.3
#2/34Verified
96.9±3.0Best
#1/34Verifiedbest value
Not ranked
93.8±4.1
#3/34Verified

Writing & chat 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.

Agents benchmarks

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

Video generation benchmarks

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

VBench
day 0
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