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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.
Hy3Claude Sonnet 5Intern-S2-Preview (35B-A3B)
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
  • Hy3
    Quality
    34.4
    Rank
    #61/103
    Price
    $0.25/M tok
    Speed
    86tok/s
    In$0.14▾Out$0.58▾/M tok

    vs Claude Sonnet 5: −22.3 quality · 0.06× price

  • Claude Sonnet 5
    Quality
    56.6
    Rank
    #27/103
    Price
    $4.00/M tok
    Speed
    79tok/s
    In$2.00Out$10/M tok

    vs Hy3: +22.3 quality · 16× price

  • Intern-S2-Preview (35B-A3B)
    Quality
    30.2
    Rank
    #73/103
    Price
    —
    Speed
    —

    vs Claude Sonnet 5: −26.4 quality · price n/a

Overview

Lab
Tencent Hunyuan
Anthropic
Shanghai AI Lab (Intern)
Released
Jul 6, 2026
Jun 30, 2026
May 15, 2026
Weights
Open
Proprietary
Open
Input price
$/M tok
$0.14Best
$2.00
—
Output price
$/M tok
$0.58Best
$10
—
Blended price
$/M tok · 3:1 in:out
$0.25Best
$4.00
—
Output speed
tok/s
86Best
79
—
Context
tokens
256K
1MBest
262K

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.

34.4±4.3
#61/103Mixed
56.6±5.4Best
#27/103Mixed
30.2±8.6
#73/103Lab-reported
67.7±6.0
#30/146Verified
68.3±4.3Best
#29/146Verified
67.7±9.7
#31/146Lab-reported
Not ranked
56.2±4.2
#36/82Mixed
64.3±8.7Best
#22/82Lab-reported
64.1±3.7
#41/182Verified
76.5±3.7Best
#22/182Verified
53.6±8.6
#59/182Lab-reported
45.1±4.6
#48/173Mixed
65.3±3.8Best
#27/173Mixed
Not ranked

Coding benchmarks

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

~last/15below measured range (<41.1)Estimated
estimated from related benchmarks
~last/15below 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.

MMMLU
day 0
~#2/5~89.9%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.

Hard reasoning benchmarks

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

~#5/25~92.8%Estimated
estimated from related benchmarks
~#2/25~95.9%Estimated
estimated from related benchmarks
~#2/25~94.8%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.

~last/5below measured range (<47.5%)Estimated
estimated from related benchmarks
~last/5below measured range (<47.5%)Estimated
estimated from related benchmarks
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