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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.
GPT-5.5GPT-5.6 TerraHy4 preview
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
  • GPT-5.5
    Quality
    60.2
    Rank
    #22/103
    Price
    $11.3/M tok
    Speed
    91tok/s
    In$5.00Out$30/M tok

    vs GPT-5.6 Terra: −9.6 quality · 2.5× price

  • GPT-5.6 Terra
    Quality
    69.8
    Rank
    #12/103
    Price
    $4.50/M tok
    Speed
    83tok/s
    In$2.00Out$12/M tok

    vs Hy4 preview: +2.4 quality · 3.6× price

  • Hy4 preview
    Quality
    67.4
    Rank
    #13/103
    Price
    $1.25/M tok
    Speed
    —
    In$0.834▾Out$2.501▾/M tok

    vs GPT-5.6 Terra: −2.4 quality · 0.28× price

Overview

Lab
OpenAI
OpenAI
Tencent Hunyuan
Released
Apr 23, 2026
Jul 9, 2026
Aug 28, 2026
Weights
Proprietary
Proprietary
Open
Input price
$/M tok
$5.00
$2.00
$0.834Best
Output price
$/M tok
$30
$12
$2.501Best
Blended price
$/M tok · 3:1 in:out
$11.3
$4.50
$1.251Best
Output speed
tok/s
91Best
83
—
Context
tokens
922K
1M
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.

60.2±5.2
#22/103Mixed
69.8±5.2Best
#12/103Mixed
67.4±8.6
#13/103Lab-reported
77.0±3.3Best
#16/146Verified
71.7±3.3
#23/146Verified
Not ranked
74.4±4.8
#14/82Verified
78.1±4.8Best
#8/82Verified
Not ranked
79.9±3.7
#17/182Verified
80.1±3.7Best
#16/182Verified
78.9±6.6
#18/182Lab-reported
67.4±3.2
#26/173Mixed
72.3±3.2Best
#22/173Mixed
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.

~#10/15~48.9Estimated
estimated from related benchmarks
~#10/15~51.2Estimated
estimated from related benchmarks
~#9/15~52.9Estimated
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.

MMMU
day 0
~#2/3~71.3%Estimated
estimated from related benchmarks
~#2/3~71.3%Estimated
estimated from related benchmarks
—
~#4/8~89.8%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.

~#2/25~96.8%Estimated
estimated from related benchmarks
~#2/25~96.8%Estimated
estimated from related benchmarks
~#2/25~96.6%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.