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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.
Inkling SmallKimi K2.7 CodeLing-3.0-flash-VL
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 Small
    Quality
    44.0
    Rank
    #38/103
    Price
    $0.52/M tok
    Speed
    206tok/s
    In$0.30Out$1.20/M tok

    vs Kimi K2.7 Code: +3.8 quality · 0.31× price

  • Kimi K2.7 Code
    Quality
    40.2
    Rank
    #43/103
    Price
    $1.71/M tok
    Speed
    66tok/s
    In$0.95Out$4.00/M tok

    vs Inkling Small: −3.8 quality · 3.3× price

  • Ling-3.0-flash-VL
    Quality
    35.6
    Rank
    #60/103
    Price
    $0.11/M tok
    Speed
    147tok/s
    In$0.075▾Out$0.22▾/M tok

    vs Inkling Small: −8.5 quality · 0.21× price

Overview

Lab
Thinking Machines Lab
Moonshot AI (Kimi)
inclusionAI (Ant Group)
Released
Jul 30, 2026
Jun 12, 2026
Sep 10, 2026
Weights
Open
Open
Open
Input price
$/M tok
$0.30
$0.95
$0.075Best
Output price
$/M tok
$1.20
$4.00
$0.22Best
Blended price
$/M tok · 3:1 in:out
$0.525
$1.712
$0.111Best
Output speed
tok/s
206Best
66
147
Context
tokens
1MBest
256K
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.

44.0±8.0Best
#38/103Verified
40.2±8.0
#43/103Verified
35.6±8.0
#60/103Verifiedbest value
Not ranked
56.4±9.5
#51/146Verified
Not ranked
60.3±8.2Best
#30/82Verified
Not ranked
54.2±6.3
#38/82Verifiedbest value
68.6±5.8Best
#33/182Verified
65.4±3.7
#37/182Verified
56.5±3.7
#51/182Verified
46.3±10.0Best
#45/173Verified
45.3±4.2
#47/173Verified
45.4±5.8
#46/173Verified

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
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
—
Chartography
third-party
~#14/23~21.3%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.

~#2/25~95.4%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.

~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