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Model Pareto

Muse Wonder vs GPT-6.1 Sol

Muse Wonder scores higher in coding, vision and agents; GPT-6.1 Sol in hard reasoning. Muse Wonder costs 2× as much as GPT-6.1 Sol ($8.00 vs $4.00 per million tokens, blended 3:1 input:output).
Muse WonderGPT-6.1 Sol
Focus

Coding: quality vs price

Compared models are ringed; the other 131 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, Kimi K3.1 Pro, Claude Opus 5.5. 43 models are not plotted: Muse Wonder Full, GLM-5.3 Flash NVFP4, DeepSeek V4.1 Flash NVFP4, DeepSeek-V4-Pro-0813-nvfp4-DSpark, GLM-5.3 NVFP4, Atria Dawn Preview, Ternary Bonsai 27B, Xing4.0-29B-A4B, Beam 1.0 501B A23B, Qwen3.8 27B NVFP4, Maple-Preview, Intern-S2-397B, Bonsai 27B, Solar Open2 250B, Muse Spark Open, Laguna S 2.1, Phi-4-reasoning-plus, Motif 3, Nex-N2-Pro, Flint, Nemotron 3.5 Super VL NVFP4, Nemotron 3.5 Super VL, K2 Horizon 375B A23B, K-EXAONE 2.0 0803, A.X-K2, Intern-S2-Preview (35B-A3B), Nemotron 3.5 Bolt 74B-A9B, K2 Horizon MoVA 36B A4B, G9v3-39A5B, North Mini Code, Qwen3.8 Flash-Next NVFP4, LFM2.5-24B-A2B, K2 Horizon 7B, K2-Horizon-32B, Devstral 2, NVIDIA Nemotron-Labs Dory1.0 4B, MiniCPM5-2B, Falcon-H1-34B-Instruct, Devstral Small 2, Ling 3.0 Tiny, K2 Horizon 3.7B, K2 Horizon 0.9B, LFM2.5-2.6B.

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

Muse Wonder Full, GLM-5.3 Flash NVFP4, DeepSeek V4.1 Flash NVFP4, DeepSeek-V4-Pro-0813-nvfp4-DSpark, GLM-5.3 NVFP4, Atria Dawn Preview, Ternary Bonsai 27B, Xing4.0-29B-A4B, Beam 1.0 501B A23B, Qwen3.8 27B NVFP4, Maple-Preview, Intern-S2-397B, Bonsai 27B, Solar Open2 250B, Muse Spark Open, Laguna S 2.1, Phi-4-reasoning-plus, Motif 3, Nex-N2-Pro, Flint, Nemotron 3.5 Super VL NVFP4, Nemotron 3.5 Super VL, K2 Horizon 375B A23B, K-EXAONE 2.0 0803, A.X-K2, Intern-S2-Preview (35B-A3B), Nemotron 3.5 Bolt 74B-A9B, K2 Horizon MoVA 36B A4B, G9v3-39A5B, North Mini Code, Qwen3.8 Flash-Next NVFP4, LFM2.5-24B-A2B, K2 Horizon 7B, K2-Horizon-32B, Devstral 2, NVIDIA Nemotron-Labs Dory1.0 4B, MiniCPM5-2B, Falcon-H1-34B-Instruct, Devstral Small 2, 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
  • Muse Wonder
    Quality
    84.7
    Rank
    #8/133
    Price
    $8.00/M tok
    Speed
    101tok/s
    In$4.00Out$20/M tok

    vs GPT-6.1 Sol: +0.8 quality · 2× price

  • GPT-6.1 Sol
    Quality
    83.9
    Rank
    #10/133
    Price
    $4.00/M tok
    Speed
    53tok/s
    In$2.00▾Out$10▾/M tok

    vs Muse Wonder: −0.8 quality · 0.5× price

Overview

Lab
Meta
OpenAI
Released
Oct 12, 2026
Sep 29, 2026
Weights
Proprietary
Proprietary
Input price
$/M tok
$4.00
$2.00Best
Output price
$/M tok
$20
$10Best
Blended price
$/M tok · 3:1 in:out
$8.00
$4.00Best
Output speed
tok/s
101Best
53
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.

84.7±4.5Best
#8/133Verified
83.9±4.5
#10/133Verified
Not ranked
81.8±6.0
#8/160Verified
91.4±9.0Best
#4/97Verified
91.1±6.3
#5/97Verifiedbest value
90.3±5.1
#10/213Verified
91.5±5.1Best
#9/213Verified
92.8±7.5Best
#3/186Verified
82.4±7.8
#13/186Verified

Coding benchmarks

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

~#2/20~92.2%Estimated
estimated from related benchmarks
~#2/20~89.7%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
~#2/12~85.8%Estimated
estimated from related benchmarks
~#2/12~85.7%Estimated
estimated from related benchmarks
~#2/8~91.1%Estimated
estimated from related benchmarks
~#2/8~91.1%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.

~#2/15~84.3%Estimated
estimated from related benchmarks
~#3/15~83.8%Estimated
estimated from related benchmarks
~#2/5~58.4%Estimated
estimated from related benchmarks
~#2/22~92.0%Estimated
estimated from related benchmarks
Not comparable across labs (1)