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.
Grok 4.6MiMo-V2.6-ProQwen3.8 2.4T A95B
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
  • 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 MiMo-V2.6-Pro: −18.8 quality · 5.5× price

  • MiMo-V2.6-Pro
    Quality
    77.8
    Rank
    #7/103
    Price
    $0.54/M tok
    Speed
    49tok/s
    In$0.435▾Out$0.87▾/M tok

    vs Grok 4.6: +18.8 quality · 0.18× price

  • Qwen3.8 2.4T A95B
    Quality
    55.6
    Rank
    #28/103
    Price
    $3.00/M tok
    Speed
    38tok/s
    In$2.00Out$6.00/M tok

    vs MiMo-V2.6-Pro: −22.2 quality · 5.5× price

Overview

Lab
SpaceXAI (xAI)
Xiaomi MiMo
Alibaba Qwen
Released
Aug 12, 2026
Sep 21, 2026
Aug 12, 2026
Weights
Proprietary
Open
Open
Input price
$/M tok
$2.00
$0.435Best
$2.00
Output price
$/M tok
$6.00
$0.87Best
$6.00
Blended price
$/M tok · 3:1 in:out
$3.00
$0.544Best
$3.00
Output speed
tok/s
60Best
49
38
Context
tokens
500K
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.

59.0±4.5
#25/103Verified
77.9±6.4Best
#7/103Mixedbest value
55.6±6.4
#28/103Mixed
72.0±6.0
#22/146Verified
81.8±6.0Best
#11/146Verifiedbest value
73.2±7.3
#20/146Mixed
65.2±7.3
#21/82Verified
76.5±9.4Best
#12/82Verified
Not ranked
82.2±3.7
#12/182Verified
86.1±5.1Best
#7/182Verifiedbest value
78.8±3.7
#19/182Verified
84.1±5.8
#10/173Verified
84.4±6.4Best
#9/173Mixed
83.0±5.8
#11/173Verified

Coding benchmarks

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

Not comparable across labs (1)
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
~#2/5~89.6%Estimated
estimated from related benchmarks
~#2/5~90.9%Estimated
estimated from related benchmarks
~#2/5~91.3%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
—
~#4/8~88.2%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
~#2/25~96.5%Estimated
estimated from related benchmarks
~#2/25~96.7%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.

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