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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.
InklingSolar Pro 4Apodex 1.1
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
  • Inkling
    Quality
    39.3
    Rank
    #46/103
    Price
    $1.76/M tok
    Speed
    184tok/s
    In$1.00Out$4.05/M tok

    vs Solar Pro 4: +1.8 quality · 3.4× price

  • Solar Pro 4
    Quality
    37.5
    Rank
    #49/103
    Price
    $0.52/M tok
    Speed
    93tok/s
    In$0.30▾Out$1.20▾/M tok

    vs Inkling: −1.8 quality · 0.3× price

  • Apodex 1.1
    Quality
    37.4
    Rank
    #50/103
    Price
    $0.97/M tok
    Speed
    —
    In$0.30▾Out$3.00/M tok

    vs Inkling: −1.9 quality · 0.55× price

Overview

Lab
Thinking Machines Lab
Upstage
Apodex
Released
Jul 15, 2026
Aug 6, 2026
Aug 30, 2026
Weights
Open
Proprietary
Proprietary
Input price
$/M tok
$1.00
$0.30Best
$0.30Best
Output price
$/M tok
$4.05
$1.20Best
$3.00
Blended price
$/M tok · 3:1 in:out
$1.762
$0.525Best
$0.975
Output speed
tok/s
184Best
93
—
Context
tokens
1MBest
512K
256K

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.

39.3±5.4Best
#46/103Mixed
37.5±8.0
#49/103Verified
37.4±8.0
#50/103Verified
63.7±3.6
#38/146Mixed
Not ranked
Not ranked
52.3±4.2
#40/82Mixed
Not ranked
63.5±8.2Best
#25/82Verified
64.6±3.6
#39/182Mixed
64.7±5.8Best
#38/182Verified
64.3±3.7
#40/182Verified
42.5±4.6
#52/173Mixed
47.9±10.0Best
#36/173Verified
46.6±5.8
#43/173Verified

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

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

Hard reasoning benchmarks

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

#1/2497.1%Lab-reported
thinkingmachines.ai · 2026-07-15
~#2/25~94.7%Estimated
estimated from related benchmarks
~#4/25~94.3%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.

~#10/12~69.4%Estimated
estimated from related benchmarks
~#10/12~70.5%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
~last/5below measured range (<47.5%)Estimated
estimated from related benchmarks