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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-6 SolQwen3.8 Max (0902)Step 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
  • GPT-6 Sol
    Quality
    78.7
    Rank
    #6/103
    Price
    $4.00/M tok
    Speed
    110tok/s
    In$2.00Out$10/M tok

    vs Step 5 Preview: +5.0 quality · 2.8× price

  • Qwen3.8 Max (0902)
    Quality
    59.1
    Rank
    #24/103
    Price
    $3.00/M tok
    Speed
    39tok/s
    In$2.00Out$6.00/M tok

    vs GPT-6 Sol: −19.6 quality · 0.75× price

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

    vs GPT-6 Sol: −5.0 quality · 0.36× price

Overview

Lab
OpenAI
Alibaba Qwen
StepFun
Released
Sep 22, 2026
Sep 2, 2026
Sep 20, 2026
Weights
Proprietary
Proprietary
Proprietary
Input price
$/M tok
$2.00
$2.00
$1.00Best
Output price
$/M tok
$10
$6.00
$2.70Best
Blended price
$/M tok · 3:1 in:out
$4.00
$3.00
$1.425Best
Output speed
tok/s
110Best
39
85
Context
tokens
872K
1MBest
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.

78.7±4.5Best
#6/103Verified
59.1±4.5
#24/103Verified
73.7±6.4
#10/103Mixed
83.1±4.3Best
#7/146Verified
82.4±6.0
#9/146Verified
82.6±12.7
#8/146Estimated from other categoriesbest value
86.8±4.8Best
#4/82Verifiedbest value
77.4±4.8
#10/82Verified
66.1±6.3
#20/82Verified
85.8±5.1Best
#8/182Verified
82.1±3.7
#13/182Verified
83.2±4.0
#10/182Mixed
76.0±7.8
#17/173Verified
85.2±5.8Best
#7/173Verified
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.

~#2/14~89.3%Estimated
estimated from related benchmarks
~#2/14~86.2%Estimated
estimated from related benchmarks
~#2/14~88.2%Estimated
estimated from related benchmarks
LiveCodeBench
third-party
~#2/20~92.1%Estimated
estimated from related benchmarks
~#2/20~92.1%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.

MMMLU
day 0
~#2/5~90.4%Estimated
estimated from related benchmarks
~#2/5~91.3%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

Hard reasoning benchmarks

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

~#2/25~96.5%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.

~#2/116~98.2%Estimated
estimated from related benchmarks
~#2/116~98.3%Estimated
estimated from related benchmarks
~#2/116~98.1%Estimated
estimated from related benchmarks
Not comparable across labs (1)