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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 3.8 FlashGrok 4.6Step 5 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
  • Gemini 3.8 Flash
    Quality
    58.3
    Rank
    #26/103
    Price
    $1.50/M tok
    Speed
    291tok/s
    In$0.75▾Out$3.75/M tok

    vs Step 5 Preview: −15.4 quality · 1.1× price

  • Grok 4.6
    Quality
    59.0
    Rank
    #25/103
    Price
    $3.00/M tok
    Speed
    60tok/s
    In$2.00Out$6.00/M tok

    vs Step 5 Preview: −14.7 quality · 2.1× price

  • Step 5 Preview
    Quality
    73.7
    Rank
    #10/103
    Price
    $1.43/M tok
    Speed
    85tok/s
    In$1.00Out$2.70▾/M tok

    vs Grok 4.6: +14.7 quality · 0.48× price

Overview

Lab
Google DeepMind
SpaceXAI (xAI)
StepFun
Released
Sep 2, 2026
Aug 12, 2026
Sep 20, 2026
Weights
Proprietary
Proprietary
Proprietary
Input price
$/M tok
$0.75Best
$2.00
$1.00
Output price
$/M tok
$3.75
$6.00
$2.70Best
Blended price
$/M tok · 3:1 in:out
$1.50
$3.00
$1.425Best
Output speed
tok/s
291Best
60
85
Context
tokens
1MBest
500K
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.

58.3±4.5
#26/103Verified
59.0±4.5
#25/103Verified
73.7±6.4Best
#10/103Mixed
77.8±4.7
#15/146Verified
72.0±6.0
#22/146Verified
82.6±12.7Best
#8/146Estimated from other categoriesbest value
82.6±4.2Best
#5/82Mixedbest value
65.2±7.3
#21/82Verified
66.1±6.3
#20/82Verified
82.9±3.7
#11/182Verified
82.2±3.7
#12/182Verified
83.2±4.0Best
#10/182Mixed
76.1±5.8
#16/173Verified
84.1±5.8Best
#10/173Verified
75.4±6.3
#18/173Mixed

Coding benchmarks

Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, 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
~#2/5~92.0%Estimated
estimated from related benchmarks
~#2/5~89.6%Estimated
estimated from related benchmarks
~#2/5~91.2%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
~#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.

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

~#2/116~98.3%Estimated
estimated from related benchmarks
~#2/116~97.7%Estimated
estimated from related benchmarks
~#2/116~98.1%Estimated
estimated from related benchmarks