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Model Pareto

GPT-6 Sol vs Gemini 3.8 Flash

GPT-6 Sol scores higher in coding, writing & chat, vision and hard reasoning; Gemini 3.8 Flash in agents. GPT-6 Sol costs 2.7× as much as Gemini 3.8 Flash ($4.00 vs $1.50 per million tokens, blended 3:1 input:output).
GPT-6 SolGemini 3.8 Flash
Focus

Coding: quality vs price

Compared models are ringed; the other 101 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
  • GPT-6 Sol
    Quality
    78.7
    Rank
    #6/103
    Price
    $4.00/M tok
    Speed
    110tok/s
    In$2.00Out$10/M tok

    vs Gemini 3.8 Flash: +20.4 quality · 2.7× price

  • Gemini 3.8 Flash
    Quality
    58.3
    Rank
    #26/103
    Price
    $1.50/M tok
    Speed
    291tok/s
    In$0.75▾Out$3.75▾/M tok

    vs GPT-6 Sol: −20.4 quality · 0.38× price

Overview

Lab
OpenAI
Google DeepMind
Released
Sep 22, 2026
Sep 2, 2026
Weights
Proprietary
Proprietary
Input price
$/M tok
$2.00
$0.75Best
Output price
$/M tok
$10
$3.75Best
Blended price
$/M tok · 3:1 in:out
$4.00
$1.50Best
Output speed
tok/s
110
291Best
Context
tokens
872K
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.

78.7±4.5Best
#6/103Verified
58.3±4.5
#26/103Verified
83.1±4.3Best
#7/146Verified
77.8±4.7
#15/146Verified
86.8±4.8Best
#4/82Verifiedbest value
82.6±4.2
#5/82Mixedbest value
85.8±5.1Best
#8/182Verified
82.9±3.7
#11/182Verified
76.0±7.8
#17/173Verified
76.1±5.8Best
#16/173Verified

Coding benchmarks

Rank among models with a published score, and the leaderboard around each model. ~ italic = no published score, 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
~#2/5~90.4%Estimated
estimated from related benchmarks
~#2/5~92.0%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.

MMMU
day 0
~#2/3~71.3%Estimated
estimated from related benchmarks
~#2/3~71.3%Estimated
estimated from related benchmarks
~#2/9~85.0%Estimated
estimated from related benchmarks
#1/886.2%Lab-reported
deepmind.google · 2026-09-02

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
~#2/116~98.3%Estimated
estimated from related benchmarks
Not comparable across labs (1)