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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-5.6 TerraGrok 4.7MiniMax-M3
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-5.6 Terra
    Quality
    69.8
    Rank
    #12/103
    Price
    $4.50/M tok
    Speed
    83tok/s
    In$2.00Out$12/M tok

    vs Grok 4.7: −2.9 quality · 1.5× price

  • Grok 4.7
    Quality
    72.7
    Rank
    #11/103
    Price
    $3.00/M tok
    Speed
    40tok/s
    In$2.00Out$6.00/M tok

    vs GPT-5.6 Terra: +2.9 quality · 0.67× price

  • MiniMax-M3
    Quality
    44.1
    Rank
    #37/103
    Price
    $0.52/M tok
    Speed
    118tok/s
    In$0.30▾Out$1.20▾/M tok

    vs Grok 4.7: −28.7 quality · 0.17× price

Overview

Lab
OpenAI
SpaceXAI (xAI)
MiniMax
Released
Jul 9, 2026
Sep 21, 2026
Jun 1, 2026
Weights
Proprietary
Proprietary
Open
Input price
$/M tok
$2.00
$2.00
$0.30Best
Output price
$/M tok
$12
$6.00
$1.20Best
Blended price
$/M tok · 3:1 in:out
$4.50
$3.00
$0.525Best
Output speed
tok/s
83
40
118Best
⚡ SambaNova 246
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.

69.8±5.2
#12/103Mixed
72.7±4.5Best
#11/103Verified
44.1±5.4
#37/103Mixed
71.7±3.3Best
#23/146Verified
70.9±4.3
#25/146Verified
71.1±4.2
#24/146Verified
78.1±4.8Best
#8/82Verified
64.1±7.3
#23/82Verified
63.8±5.3
#24/82Mixed
80.1±3.7
#16/182Verified
81.8±5.1Best
#14/182Verified
70.7±3.7
#30/182Verified
72.3±3.2
#22/173Mixed
86.7±7.8Best
#5/173Verified
47.4±3.4
#38/173Mixed

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
~#2/5~90.4%Estimated
estimated from related benchmarks
~#2/5~89.2%Estimated
estimated from related benchmarks
~#2/5~89.1%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
~#4/8~87.1%Estimated
estimated from related benchmarks
#1/791.6%Lab-reported
minimax.io · 2026-06-01

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
~#2/25~95.8%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.

~#3/5~58.3%Estimated
estimated from related benchmarks
~last/5below measured range (<47.5%)Estimated
estimated from related benchmarks
Not comparable across labs (1)
—
—
#1/170.1%Lab-reported
minimax.io · 2026-06-01