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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.
Claude Opus 5GLM-5.3 FlashQwen3.8 Max (0902)
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
  • Claude Opus 5
    Quality
    83.3
    Rank
    #5/103
    Price
    $10.0/M tok
    Speed
    54tok/s
    In$5.00Out$25/M tok

    vs GLM-5.3 Flash: +17.4 quality · 42× price

  • GLM-5.3 Flash
    Quality
    65.9
    Rank
    #15/103
    Price
    $0.24/M tok
    Speed
    46tok/s
    In$0.15▾Out$0.50▾/M tok

    vs Claude Opus 5: −17.4 quality · 0.02× 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 Claude Opus 5: −24.2 quality · 0.3× price

Overview

Lab
Anthropic
Z.ai (Zhipu)
Alibaba Qwen
Released
Jul 24, 2026
Aug 26, 2026
Sep 2, 2026
Weights
Proprietary
Open
Proprietary
Input price
$/M tok
$5.00
$0.15Best
$2.00
Output price
$/M tok
$25
$0.50Best
$6.00
Blended price
$/M tok · 3:1 in:out
$10
$0.237Best
$3.00
Output speed
tok/s
54Best
46
39
Context
tokens
1MBest
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.

83.3±3.2Best
#5/103Mixed
65.9±6.4
#15/103Mixedbest value
59.1±4.5
#24/103Verified
93.4±4.3Best
#2/146Verifiedbest value
78.4±6.0
#14/146Verified
82.4±6.0
#9/146Verified
77.4±4.8Best
#9/82Verified
62.1±7.3
#28/82Verified
77.4±4.8
#10/82Verified
91.7±3.7Best
#5/182Verified
77.9±3.7
#21/182Verifiedbest value
82.1±3.7
#13/182Verified
84.8±4.6
#8/173Mixed
85.5±5.1Best
#6/173Mixedbest value
85.2±5.8
#7/173Verified

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
~#2/5~92.2%Estimated
estimated from related benchmarks
~#2/5~90.7%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

Hard reasoning benchmarks

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

~#2/25~96.9%Estimated
estimated from related benchmarks
~#2/25~96.7%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.

~#2/116~98.3%Estimated
estimated from related benchmarks
~#2/116~97.4%Estimated
estimated from related benchmarks
~#2/116~98.3%Estimated
estimated from related benchmarks
Not comparable across labs (1)