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Model Pareto

Kimi K3.1 Pro vs Claude Opus 5

Kimi K3.1 Pro scores higher than Claude Opus 5 in all 3 shared categories. Claude Opus 5 costs 2.5× as much as Kimi K3.1 Pro ($10.0 vs $4.00 per million tokens, blended 3:1 input:output).
Kimi K3.1 ProClaude Opus 5
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
  • Kimi K3.1 Pro
    Quality
    92.9
    Rank
    #2/133
    Price
    $4.00/M tok
    Speed
    77tok/s
    In$2.00▾Out$10▾/M tok

    vs Claude Opus 5: +7.4 quality · 0.4× price

  • Claude Opus 5
    Quality
    85.5
    Rank
    #7/133
    Price
    $10.0/M tok
    Speed
    54tok/s
    In$5.00Out$25/M tok

    vs Kimi K3.1 Pro: −7.4 quality · 2.5× price

Overview

Lab
Moonshot AI (Kimi)
Anthropic
Released
Oct 23, 2026
Jul 24, 2026
Weights
Proprietary
Proprietary
Input price
$/M tok
$2.00Best
$5.00
Output price
$/M tok
$10Best
$25
Blended price
$/M tok · 3:1 in:out
$4.00Best
$10
Output speed
tok/s
77Best
54
Context
tokens
1MBest
1M

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.

92.9±7.6Best
#2/133Verifiedbest value
85.5±3.2
#7/133Mixed
Not ranked
89.4±4.3
#3/160Verified
82.3±8.2Best
#8/97Verified
76.9±4.8
#14/97Verified
93.3±5.1Best
#7/213Verified
91.8±3.7
#8/213Verified
Not ranked
84.4±4.6
#8/186Mixed

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.

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
~#2/12~85.1%Estimated
estimated from related benchmarks
~#2/12~85.1%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.