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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.
Bonsai 27BMiMo-V2.5Solar Open2 250B
Focus

Coding: quality vs price

Compared models are ringed; the other 111 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, Qwen3.8-Omni-Flash, GLM-5.3 Flash, DeepSeek V4.1 Flash, MiMo-V2.6-Pro, Claude Sonnet 5.5, Claude Opus 5.5. 36 models are not plotted: GLM-5.3 Flash NVFP4, Ternary Bonsai 2 27B, DeepSeek V4.1 Flash NVFP4, GLM-5.3 NVFP4, Nex-N2.5-Pro, Xing4.0-29B-A4B, Atria Dawn Preview, Ternary Bonsai 27B, Maple-Preview, Bonsai 27B, Qwen3.8 27B NVFP4, 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, 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.

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

GLM-5.3 Flash NVFP4, Ternary Bonsai 2 27B, DeepSeek V4.1 Flash NVFP4, GLM-5.3 NVFP4, Nex-N2.5-Pro, Xing4.0-29B-A4B, Atria Dawn Preview, Ternary Bonsai 27B, Maple-Preview, Bonsai 27B, Qwen3.8 27B NVFP4, 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, 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
  • Bonsai 27B
    Quality
    54.7
    Rank
    #35/114
    Price
    —
    Speed
    —

    vs Solar Open2 250B: +8.9 quality · price n/a

  • MiMo-V2.5
    Quality
    35.1
    Rank
    #65/114
    Price
    $0.18/M tok
    Speed
    40tok/s
    In$0.14Out$0.28/M tok

    vs Bonsai 27B: −19.6 quality · price n/a

  • Solar Open2 250B
    Quality
    45.8
    Rank
    #43/114
    Price
    —
    Speed
    —

    vs Bonsai 27B: −8.9 quality · price n/a

Overview

Lab
PrismML
Xiaomi MiMo
Upstage
Released
Jul 4, 2026
Apr 22, 2026
Aug 12, 2026
Weights
Open
Open
Open
Input price
$/M tok
—
$0.14
—
Output price
$/M tok
—
$0.28
—
Blended price
$/M tok · 3:1 in:out
—
$0.175
—
Output speed
tok/s
—
40
—
Context
tokens
262K
1M
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.

54.7±10.3Best
#35/114Lab-reported
35.1±8.0
#65/114Verified
45.8±10.0
#43/114Verified
56.7±9.7
#58/155Lab-reported
61.6±4.2Best
#48/155Verified
Not ranked
45.1±8.7
#57/90Lab-reported
60.0±8.2Best
#37/90Verifiedbest value
Not ranked
60.7±9.9
#52/193Lab-reported
60.6±5.9
#53/193Verifiedbest value
63.0±5.9Best
#51/193Verified
Not ranked
37.9±4.2
#72/176Verified
47.4±10.0Best
#38/176Verified

Coding benchmarks

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

~#5/14~79.4%Estimated
estimated from related benchmarks
~#5/14~78.3%Estimated
estimated from related benchmarks
~#10/15~50.3Estimated
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.

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
—
GDP.pdf (AA)
third-party
—
Chartography
third-party
~#15/23~20.3%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.

Agents benchmarks

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

—
~#10/12~66.3%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