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Model Pareto

GPT-6 Sol vs Grok 4.7

GPT-6 Sol scores higher in coding, writing & chat, vision and hard reasoning; Grok 4.7 in agents. GPT-6 Sol costs 1.3× as much as Grok 4.7 ($4.00 vs $3.00 per million tokens, blended 3:1 input:output).
GPT-6 SolGrok 4.7
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
  • GPT-6 Sol
    Quality
    78.5
    Rank
    #7/105
    Price
    $4.00/M tok
    Speed
    69tok/s
    In$2.00▾Out$10/M tok

    vs Grok 4.7: +6.0 quality · 1.3× price

  • Grok 4.7
    Quality
    72.4
    Rank
    #12/105
    Price
    $3.00/M tok
    Speed
    76tok/s
    In$2.00▾Out$6.00▾/M tok

    vs GPT-6 Sol: −6.0 quality · 0.75× price

Overview

Lab
OpenAI
SpaceXAI (xAI)
Released
Sep 22, 2026
Sep 21, 2026
Weights
Proprietary
Proprietary
Input price
$/M tok
$2.00Best
$2.00Best
Output price
$/M tok
$10
$6.00Best
Blended price
$/M tok · 3:1 in:out
$4.00
$3.00Best
Output speed
tok/s
69
76Best
Context
tokens
872KBest
500K

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.

78.5±4.5Best
#7/105Verified
72.4±4.5
#12/105Verified
83.1±4.3Best
#8/147Verified
71.0±4.3
#26/147Verified
86.8±4.8Best
#4/83Verifiedbest value
64.1±7.3
#24/83Verified
85.8±5.1Best
#9/184Verified
81.8±5.1
#15/184Verified
76.0±7.8
#18/175Verified
86.6±7.8Best
#5/175Verified

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
~#2/14~85.7%Estimated
estimated from related benchmarks
LiveCodeBench
third-party
~#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.

MMMU
day 0
~#2/3~71.3%Estimated
estimated from related benchmarks
~#2/3~71.3%Estimated
estimated from related benchmarks
~#4/8~90.8%Estimated
estimated from related benchmarks
~#4/8~87.1%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.

~#2/116~98.2%Estimated
estimated from related benchmarks
~#2/116~96.1%Estimated
estimated from related benchmarks
~#3/12~82.8%Estimated
estimated from related benchmarks
~#3/12~82.3%Estimated
estimated from related benchmarks
Not comparable across labs (1)