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Model Pareto

Grok 4.7 vs GPT-6 Sol

Grok 4.7 scores higher in agents; GPT-6 Sol in coding, writing & chat, vision and hard reasoning. 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).
Grok 4.7GPT-6 Sol
Focus

Coding: quality vs price

Compared models are ringed; the other 117 ranked here are greyed.

Lower price is better. Pareto frontier: Nex-N2.5-Mini, Nex-N2.5-Pro, MiMo-V2.6-Flash, Ternary Bonsai 2 27B, MiMo-V2.6-Pro, Gemini 4 Argon, Claude Opus 5.5. 34 models are not plotted: GLM-5.3 Flash NVFP4, DeepSeek V4.1 Flash NVFP4, GLM-5.3 NVFP4, DeepSeek-V4-Pro-0813-nvfp4-DSpark, Xing4.0-29B-A4B, Ternary Bonsai 27B, Atria Dawn Preview, Maple-Preview, Bonsai 27B, Qwen3.8 27B NVFP4, Intern-S2-397B, Phi-4-reasoning-plus, Solar Open2 250B, Laguna S 2.1, Motif 3, Nex-N2-Pro, K-EXAONE 2.0 0803, K2 Horizon 375B A23B, A.X-K2, K2 Horizon MoVA 36B A4B, Intern-S2-Preview (35B-A3B), 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.

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

GLM-5.3 Flash NVFP4, DeepSeek V4.1 Flash NVFP4, GLM-5.3 NVFP4, DeepSeek-V4-Pro-0813-nvfp4-DSpark, Xing4.0-29B-A4B, Ternary Bonsai 27B, Atria Dawn Preview, Maple-Preview, Bonsai 27B, Qwen3.8 27B NVFP4, Intern-S2-397B, Phi-4-reasoning-plus, Solar Open2 250B, Laguna S 2.1, Motif 3, Nex-N2-Pro, K-EXAONE 2.0 0803, K2 Horizon 375B A23B, A.X-K2, K2 Horizon MoVA 36B A4B, Intern-S2-Preview (35B-A3B), 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
  • Grok 4.7
    Quality
    70.5
    Rank
    #15/119
    Price
    $3.00/M tok
    Speed
    76tok/s
    In$2.00▾Out$6.00▾/M tok

    vs GPT-6 Sol: −5.8 quality · 0.75× price

  • GPT-6 Sol
    Quality
    76.4
    Rank
    #8/119
    Price
    $4.00/M tok
    Speed
    92tok/s
    In$2.00▾Out$10/M tok

    vs Grok 4.7: +5.8 quality · 1.3× price

Overview

Lab
SpaceXAI (xAI)
OpenAI
Released
Sep 21, 2026
Sep 22, 2026
Weights
Proprietary
Proprietary
Input price
$/M tok
$2.00Best
$2.00Best
Output price
$/M tok
$6.00Best
$10
Blended price
$/M tok · 3:1 in:out
$3.00Best
$4.00
Output speed
tok/s
76
92Best
Context
tokens
500K
872KBest

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.

70.5±4.5
#15/119Verified
76.4±4.5Best
#8/119Verified
68.7±4.3
#30/156Verified
79.3±4.3Best
#9/156Verified
64.6±4.8
#29/91Verified
86.1±4.8Best
#5/91Verified
81.4±5.1
#16/200Verified
85.5±5.1Best
#10/200Verified
87.1±7.8Best
#3/178Verifiedbest value
75.5±7.8
#19/178Verified

Coding benchmarks

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

~#2/14~85.9%Estimated
estimated from related benchmarks
~#2/14~89.3%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
~#4/8~87.1%Estimated
estimated from related benchmarks
~#4/8~90.7%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.

~#3/12~82.6%Estimated
estimated from related benchmarks
~#3/12~82.7%Estimated
estimated from related benchmarks
Not comparable across labs (1)