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Model Pareto

GPT-6 Astra vs Claude Fable 5.1

GPT-6 Astra scores higher in vision; Claude Fable 5.1 in coding, writing & chat, hard reasoning and agents. Both cost about $20.0 per million tokens, blended 3:1 input:output.
GPT-6 AstraClaude Fable 5.1
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
  • GPT-6 Astra
    Quality
    84.5
    Rank
    #6/119
    Price
    $20.0/M tok
    Speed
    52tok/s
    In$10▾Out$50▾/M tok

    vs Claude Fable 5.1: −1.7 quality · 1× price

  • Claude Fable 5.1
    Quality
    86.2
    Rank
    #4/119
    Price
    $20.0/M tok
    Speed
    48tok/s
    In$10▾Out$50▾/M tok

    vs GPT-6 Astra: +1.7 quality · 1× price

Overview

Lab
OpenAI
Anthropic
Released
Sep 3, 2026
Sep 1, 2026
Weights
Proprietary
Proprietary
Input price
$/M tok
$10Best
$10Best
Output price
$/M tok
$50Best
$50Best
Blended price
$/M tok · 3:1 in:out
$20Best
$20Best
Output speed
tok/s
52Best
48
Context
tokens
1MBest
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.

84.5±4.5
#6/119Verified
86.2±3.6Best
#4/119Mixed
89.3±5.3
#4/156Verified
94.4±4.6Best
#2/156Verified
98.2±3.3Best
#1/91Verifiedbest value
86.7±7.3
#4/91Verified
93.6±3.7
#5/200Verified
95.7±3.7Best
#2/200Verified
81.1±4.6
#15/178Mixed
89.8±5.8Best
#2/178Verified

Coding benchmarks

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

~#2/14~89.9%Estimated
estimated from related benchmarks
~#2/14~93.5%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
~#2/9~86.1%Estimated
estimated from related benchmarks
~#2/9~86.0%Estimated
estimated from related benchmarks
~#2/8~91.4%Estimated
estimated from related benchmarks
~#2/8~91.2%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.

~#3/12~83.3%Estimated
estimated from related benchmarks
~#2/12~84.6%Estimated
estimated from related benchmarks
Not comparable across labs (2)