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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.
Laguna S 2.1MiniMax-M3Inkling Small
Focus

Coding: quality vs price

Compared models are ringed; the other 116 ranked here are greyed.

Lower price is better. Pareto frontier: Nex-N2.5-Mini, Nex-N2.5-Pro, MiMo-V2.6-Flash, Ternary Bonsai 2 27B, MiMo-V2.6-Pro, Gemini 4 Argon, Claude Opus 5.5. 34 models are not plotted: GLM-5.3 Flash NVFP4, DeepSeek V4.1 Flash NVFP4, GLM-5.3 NVFP4, DeepSeek-V4-Pro-0813-nvfp4-DSpark, Xing4.0-29B-A4B, Ternary Bonsai 27B, Atria Dawn Preview, Maple-Preview, Bonsai 27B, Qwen3.8 27B NVFP4, Intern-S2-397B, Phi-4-reasoning-plus, Solar Open2 250B, Laguna S 2.1, Motif 3, Nex-N2-Pro, K-EXAONE 2.0 0803, K2 Horizon 375B A23B, A.X-K2, K2 Horizon MoVA 36B A4B, Intern-S2-Preview (35B-A3B), North Mini Code, G9v3-39A5B, Falcon-H1-34B-Instruct, Qwen3.8 Flash-Next NVFP4, Devstral 2, K2 Horizon 7B, K2-Horizon-32B, Devstral Small 2, MiniCPM5-2B, Ling 3.0 Tiny, K2 Horizon 3.7B, K2 Horizon 0.9B, LFM2.5-2.6B.

34 models with no price data — shown in the strip at the left edge

GLM-5.3 Flash NVFP4, DeepSeek V4.1 Flash NVFP4, GLM-5.3 NVFP4, DeepSeek-V4-Pro-0813-nvfp4-DSpark, Xing4.0-29B-A4B, Ternary Bonsai 27B, Atria Dawn Preview, Maple-Preview, Bonsai 27B, Qwen3.8 27B NVFP4, Intern-S2-397B, Phi-4-reasoning-plus, Solar Open2 250B, Laguna S 2.1, Motif 3, Nex-N2-Pro, K-EXAONE 2.0 0803, K2 Horizon 375B A23B, A.X-K2, K2 Horizon MoVA 36B A4B, Intern-S2-Preview (35B-A3B), North Mini Code, G9v3-39A5B, Falcon-H1-34B-Instruct, Qwen3.8 Flash-Next NVFP4, Devstral 2, K2 Horizon 7B, K2-Horizon-32B, 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
  • Laguna S 2.1
    Quality
    41.2
    Rank
    #52/119
    Price
    —
    Speed
    —

    vs MiniMax-M3: −0.5 quality · price n/a

  • MiniMax-M3
    Quality
    41.6
    Rank
    #51/119
    Price
    $0.52/M tok
    Speed
    88tok/s
    In$0.30▾Out$1.20▾/M tok

    vs Laguna S 2.1: +0.5 quality · price n/a

  • Inkling Small
    Quality
    40.0
    Rank
    #53/119
    Price
    $0.52/M tok
    Speed
    206tok/s
    In$0.30▾Out$1.20▾/M tok

    vs MiniMax-M3: −1.6 quality · 1× price

Overview

Lab
poolside
MiniMax
Thinking Machines Lab
Released
Jul 21, 2026
Jun 1, 2026
Jul 30, 2026
Weights
Open
Open
Open
Input price
$/M tok
—
$0.30Best
$0.30Best
Output price
$/M tok
—
$1.20Best
$1.20Best
Blended price
$/M tok · 3:1 in:out
—
$0.525Best
$0.525Best
Output speed
tok/s
—
88
⚡ SambaNova 246
206Best
Context
tokens
1MBest
1M
1M

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.

41.2±9.8
#52/119Lab-reported
41.6±5.4Best
#51/119Mixed
40.0±8.0
#53/119Verified
Not ranked
68.6±4.1
#31/156Verified
Not ranked
Not ranked
63.7±5.3Best
#30/91Mixed
58.2±8.2
#39/91Verified
Not ranked
70.1±3.7Best
#40/200Verified
64.5±3.7
#52/200Verified
Not ranked
47.3±3.4Best
#42/178Mixed
44.3±10.0
#53/178Verified

Coding benchmarks

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

~last/18below measured range (<41.1)Estimated
estimated from related benchmarks
~last/18below 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
—
#1/791.6%Lab-reported
minimax.io · 2026-06-01
Chartography
third-party
—
~#16/24~20.0%Estimated
estimated from related benchmarks
~#16/24~19.2%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.

Agents benchmarks

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

—
~#10/12~70.7%Estimated
estimated from related benchmarks
~#10/12~69.6%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
Not comparable across labs (1)
—
#1/170.1%Lab-reported
minimax.io · 2026-06-01
—