Skip to content
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.
Claude Sonnet 5GPT-6 LunaMotif 3
Focus

Coding: quality vs price

Compared models are ringed; the other 100 ranked here are greyed.

Lower price is better. Pareto frontier: Granite 4.2 3B, NVIDIA Nemotron 3 Nano 30B A3B, gpt-oss-20b, Ling-3.0-flash-VL, MiMo-V2.6-Flash, GLM-5.3 Flash, DeepSeek V4.1 Flash, MiMo-V2.6-Pro, Claude Sonnet 5.5, Claude Opus 5.5. 26 models are not plotted: Xing4.0-29B-A4B, Nex-N2.5-Pro, Atria Dawn Preview, Intern-S2-397B, Solar Open2 250B, Phi-4-reasoning-plus, Motif 3, Nex-N2-Pro, Nex-N2.5-Mini, A.X-K2, K2 Horizon 375B A23B, K-EXAONE 2.0 0803, K2 Horizon MoVA 36B A4B, Intern-S2-Preview (35B-A3B), Command A+, North Mini Code, G9v3-39A5B, Falcon-H1-34B-Instruct, Devstral 2, K2 Horizon 7B, Devstral Small 2, MiniCPM5-2B, Ling 3.0 Tiny, K2 Horizon 3.7B, K2 Horizon 0.9B, LFM2.5-2.6B.

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

Xing4.0-29B-A4B, Nex-N2.5-Pro, Atria Dawn Preview, Intern-S2-397B, Solar Open2 250B, Phi-4-reasoning-plus, Motif 3, Nex-N2-Pro, Nex-N2.5-Mini, A.X-K2, K2 Horizon 375B A23B, K-EXAONE 2.0 0803, K2 Horizon MoVA 36B A4B, Intern-S2-Preview (35B-A3B), Command A+, North Mini Code, G9v3-39A5B, Falcon-H1-34B-Instruct, Devstral 2, K2 Horizon 7B, 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
  • Claude Sonnet 5
    Quality
    56.6
    Rank
    #27/103
    Price
    $4.00/M tok
    Speed
    79tok/s
    In$2.00Out$10/M tok

    vs GPT-6 Luna: +4.2 quality · 20× price

  • GPT-6 Luna
    Quality
    52.5
    Rank
    #30/103
    Price
    $0.20/M tok
    Speed
    132tok/s
    In$0.10▾Out$0.50▾/M tok

    vs Claude Sonnet 5: −4.2 quality · 0.05× price

  • Motif 3
    Quality
    41.2
    Rank
    #40/103
    Price
    —
    Speed
    —

    vs Claude Sonnet 5: −15.4 quality · price n/a

Overview

Lab
Anthropic
OpenAI
Motif Technologies
Released
Jun 30, 2026
Sep 22, 2026
Aug 12, 2026
Weights
Proprietary
Proprietary
Open
Input price
$/M tok
$2.00
$0.10Best
—
Output price
$/M tok
$10
$0.50Best
—
Blended price
$/M tok · 3:1 in:out
$4.00
$0.20Best
—
Output speed
tok/s
79
132Best
—
Context
tokens
1MBest
1MBest
262K

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.

56.6±5.4Best
#27/103Mixed
52.5±4.5
#30/103Verified
41.2±10.0
#40/103Verified
68.3±4.3Best
#29/146Verified
67.2±6.0
#33/146Verifiedbest value
Not ranked
56.2±4.2
#36/82Mixed
68.8±4.8Best
#18/82Verifiedbest value
Not ranked
76.5±3.7Best
#22/182Verified
72.4±5.1
#28/182Verifiedbest value
69.3±5.8
#32/182Verified
65.3±3.8Best
#27/173Mixed
64.2±7.8
#29/173Verified
65.2±10.0
#28/173Verified

Coding benchmarks

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

~last/15below measured range (<41.1)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.

MMMLU
day 0
~#2/5~89.9%Estimated
estimated from related benchmarks
~#2/5~88.4%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
~#2/3~71.3%Estimated
estimated from related benchmarks
~#2/3~71.3%Estimated
estimated from related benchmarks
—
~#4/8~87.3%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.

~#2/25~95.9%Estimated
estimated from related benchmarks
~#3/25~94.4%Estimated
estimated from related benchmarks
~#4/25~94.2%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.

~#2/116~96.0%Estimated
estimated from related benchmarks
~last/5below measured range (<47.5%)Estimated
estimated from related benchmarks
~last/5below measured range (<47.5%)Estimated
estimated from related benchmarks
Not comparable across labs (1)