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Model Pareto

GLM-5.3 vs GPT-6.1 Sol

GLM-5.3 scores higher in agents; GPT-6.1 Sol in coding, writing & chat and hard reasoning. GPT-6.1 Sol costs 1.9× as much as GLM-5.3 ($4.00 vs $2.15 per million tokens, blended 3:1 input:output).
GLM-5.3GPT-6.1 Sol
Focus

Coding: quality vs price

Compared models are ringed; the other 103 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. 27 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, K2-Horizon-32B, Devstral Small 2, MiniCPM5-2B, Ling 3.0 Tiny, K2 Horizon 3.7B, K2 Horizon 0.9B, LFM2.5-2.6B.

27 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, 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
  • GLM-5.3
    Quality
    73.8
    Rank
    #10/105
    Price
    $2.15/M tok
    Speed
    57tok/s
    In$1.40▾Out$4.40▾/M tok

    vs GPT-6.1 Sol: −11.5 quality · 0.54× price

  • GPT-6.1 Sol
    Quality
    85.3
    Rank
    #5/105
    Price
    $4.00/M tok
    Speed
    —
    In$2.00Out$10/M tok

    vs GLM-5.3: +11.5 quality · 1.9× price

Overview

Lab
Z.ai (Zhipu)
OpenAI
Released
Aug 14, 2026
Sep 29, 2026
Weights
Open
Proprietary
Input price
$/M tok
$1.40Best
$2.00
Output price
$/M tok
$4.40Best
$10
Blended price
$/M tok · 3:1 in:out
$2.15Best
$4.00
Output speed
tok/s
57
—
Context
tokens
1MBest
922K

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.

73.8±4.5
#10/105Verified
85.3±6.4Best
#5/105Mixed
86.0±4.3
#7/147Verifiedbest value
92.6±10.0Best
#4/147Estimated from other categoriesbest value
Not ranked
85.1±8.2
#5/83Verified
81.0±3.7
#16/184Verified
91.5±5.1Best
#6/184Verified
87.4±5.8Best
#4/175Verified
84.7±12.5
#9/175Estimated from other categories

Coding benchmarks

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

~#2/14~89.7%Estimated
estimated from related benchmarks
~#2/14~90.2%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.

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.

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
~#2/116~97.8%Estimated
estimated from related benchmarks
~#2/5~58.4%Estimated
estimated from related benchmarks
Not comparable across labs (1)