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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 4 ArgonClaude Opus 5.5Claude Sonnet 5.5
Focus

Coding: quality vs price

Compared models are ringed; the other 116 ranked here are greyed.

Lower price is better. Pareto frontier: Nex-N2.5-Mini, Nex-N2.5-Pro, MiMo-V2.6-Flash, Ternary Bonsai 2 27B, MiMo-V2.6-Pro, Gemini 4 Argon, Claude Opus 5.5. 34 models are not plotted: GLM-5.3 Flash NVFP4, DeepSeek V4.1 Flash NVFP4, GLM-5.3 NVFP4, DeepSeek-V4-Pro-0813-nvfp4-DSpark, Xing4.0-29B-A4B, Ternary Bonsai 27B, Atria Dawn Preview, Maple-Preview, Bonsai 27B, Qwen3.8 27B NVFP4, Intern-S2-397B, Phi-4-reasoning-plus, Solar Open2 250B, Laguna S 2.1, Motif 3, Nex-N2-Pro, K-EXAONE 2.0 0803, K2 Horizon 375B A23B, A.X-K2, K2 Horizon MoVA 36B A4B, Intern-S2-Preview (35B-A3B), North Mini Code, G9v3-39A5B, Falcon-H1-34B-Instruct, Qwen3.8 Flash-Next NVFP4, Devstral 2, K2 Horizon 7B, K2-Horizon-32B, Devstral Small 2, MiniCPM5-2B, Ling 3.0 Tiny, K2 Horizon 3.7B, K2 Horizon 0.9B, LFM2.5-2.6B.

34 models with no price data — shown in the strip at the left edge

GLM-5.3 Flash NVFP4, DeepSeek V4.1 Flash NVFP4, GLM-5.3 NVFP4, DeepSeek-V4-Pro-0813-nvfp4-DSpark, Xing4.0-29B-A4B, Ternary Bonsai 27B, Atria Dawn Preview, Maple-Preview, Bonsai 27B, Qwen3.8 27B NVFP4, Intern-S2-397B, Phi-4-reasoning-plus, Solar Open2 250B, Laguna S 2.1, Motif 3, Nex-N2-Pro, K-EXAONE 2.0 0803, K2 Horizon 375B A23B, A.X-K2, K2 Horizon MoVA 36B A4B, Intern-S2-Preview (35B-A3B), North Mini Code, G9v3-39A5B, Falcon-H1-34B-Instruct, Qwen3.8 Flash-Next NVFP4, Devstral 2, K2 Horizon 7B, K2-Horizon-32B, Devstral Small 2, MiniCPM5-2B, Ling 3.0 Tiny, K2 Horizon 3.7B, K2 Horizon 0.9B, LFM2.5-2.6B

  • Best-value frontier (nothing is both cheaper and better)
  • Evidencestrong → weak
  • Estimated from other categories
  • Gemini 4 Argon
    Quality
    92.4
    Rank
    #2/119
    Price
    $4.00/M tok
    Speed
    —
    In$2.00▾Out$10▾/M tok

    vs Claude Opus 5.5: −3.3 quality · 0.5× price

  • Claude Opus 5.5
    Quality
    95.7
    Rank
    #1/119
    Price
    $8.00/M tok
    Speed
    92tok/s
    In$4.00Out$20/M tok

    vs Gemini 4 Argon: +3.3 quality · 2× price

  • Claude Sonnet 5.5
    Quality
    90.6
    Rank
    #3/119
    Price
    $4.00/M tok
    Speed
    115tok/s
    In$2.00▾Out$10▾/M tok

    vs Claude Opus 5.5: −5.1 quality · 0.5× price

Overview

Lab
Google DeepMind
Anthropic
Anthropic
Released
Sep 30, 2026
Sep 22, 2026
Sep 28, 2026
Weights
Proprietary
Proprietary
Proprietary
Input price
$/M tok
$2.00Best
$4.00
$2.00Best
Output price
$/M tok
$10Best
$20
$10Best
Blended price
$/M tok · 3:1 in:out
$4.00Best
$8.00
$4.00Best
Output speed
tok/s
—
92
115Best
Context
tokens
1MBest
1MBest
1MBest

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.

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

~#2/14~93.3%Estimated
estimated from related benchmarks
~#2/14~94.7%Estimated
estimated from related benchmarks
~#2/14~93.8%Estimated
estimated from related benchmarks
Benchmarks in other categories (4)

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.

~#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
~#2/32~99.1%Estimated
estimated from related benchmarks
~#2/32~99.2%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.

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