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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.
Nex-N2.5-ProQwen3.8 27BGPT-5.6 Terra
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
  • Nex-N2.5-Pro
    Quality
    61.6
    Rank
    #21/103
    Price
    —
    Speed
    —

    vs GPT-5.6 Terra: −8.2 quality · price n/a

  • Qwen3.8 27B
    Quality
    43.9
    Rank
    #39/103
    Price
    $1.13/M tok
    Speed
    43tok/s
    In$0.50▾Out$3.00▾/M tok

    vs GPT-5.6 Terra: −25.9 quality · 0.25× price

  • 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 Nex-N2.5-Pro: +8.2 quality · price n/a

Overview

Lab
Nex AGI
Alibaba Qwen
OpenAI
Released
Sep 8, 2026
Aug 14, 2026
Jul 9, 2026
Weights
Open
Open
Proprietary
Input price
$/M tok
—
$0.50Best
$2.00
Output price
$/M tok
—
$3.00Best
$12
Blended price
$/M tok · 3:1 in:out
—
$1.125Best
$4.50
Output speed
tok/s
—
43
⚡ Cerebras ~1,850 +1
83Best
Context
tokens
262K
262K
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.

61.6±8.6
#21/103Lab-reported
43.9±5.2
#39/103Mixed
69.8±5.2Best
#12/103Mixed
Not ranked
64.3±3.6
#37/146Mixed
71.7±3.3Best
#23/146Verified
Not ranked
69.0±5.3
#17/82Mixed
78.1±4.8Best
#8/82Verified
Not ranked
69.8±3.7
#31/182Verified
80.1±3.7Best
#16/182Verified
73.9±8.9
#21/173Lab-reported
74.2±4.7Best
#20/173Mixed
72.3±3.2
#22/173Mixed

Coding benchmarks

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

~#6/14~77.8%Estimated
estimated from related benchmarks
~#2/14~85.8%Estimated
estimated from related benchmarks
~#10/15~51.6Estimated
estimated from related benchmarks
~#10/15~51.2Estimated
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.

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
Not comparable across labs (1)
—
#1/183.7%Lab-reported
huggingface.co · 2026-08-14
—

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.

Not comparable across labs (1)