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MODEL CAPABILITY · PRICE & RELEASES

Capabilities

Artificial Analysis · Compare benchmark results, text costs and release dates separately, with each model and configuration identified.

Data as of2026-10-26 · 272 configurations

Methodology & original report ↗

Capability comparison

One capability index · top configuration per developer · excludes estimates, retired models and future releases.

Chart data · 10 entries
NameCapability index
Claude Opus 5.557.622
Muse Wonder Full55.802
Kimi K3.1 Pro55.087
GPT-6 Astra52.674
Gemini 4 Argon52.561
Grok 4.746.447
MiMo-V2.6-Pro46.324
Qwen3.8 Max (0902)45.415
DeepSeek V4.1 Flash 101745.097
GLM-5.344.777

Capability and text cost

Index ≥30 · cost = (3 × input price + output price) ÷ 4, in USD per million tokens. Showing 60 of 64 configurations, selected by capability.

Chart data · 60 entries
NameCost / capability
Claude Opus 5.5 (Max, Default Fallback)8 / 57.622
Claude Sonnet 5.5 (Max, Default Fallback)4 / 56
Claude Opus 5.5 (Xhigh, Default Fallback)8 / 55.987
Kimi K3.1 Pro4 / 55.087
Claude Opus 5.5 (High, Default Fallback)8 / 53.583
Claude Fable 5.1 (Max, Default Fallback)20 / 53.355
Claude Fable 5.1 (Xhigh, Default Fallback)20 / 53.203
GPT-6 Astra (Max)20 / 52.674
Gemini 4 Argon (High)4 / 52.561
Muse Wonder (Max)8 / 52.394
GPT-6 Astra (Xhigh)20 / 52.386
Claude Sonnet 5.5 (Xhigh, Default Fallback)4 / 51.896
GPT-6.1 Sol (Max)4 / 51.833
Claude Opus 5.5 (Medium, Default Fallback)8 / 51.243
Claude Fable 5.1 (High, Default Fallback)20 / 51.152
GPT-6.1 Sol (Xhigh)4 / 51.038
GPT-6 Astra (High)20 / 50.919
GPT-6.1 Sol (High)4 / 50.238
GPT-6 Astra (Medium)20 / 49.57
Claude Fable 5.1 (Medium, Default Fallback)20 / 48.921
GPT-6.1 Sol (Medium)4 / 47.783
Claude Fable 5.1 (Low, Default Fallback)20 / 46.816
Claude Sonnet 5.5 (High, Default Fallback)4 / 46.753
Grok 4.7 (Xhigh)3 / 46.447
Grok 4.7 (High)3 / 46.332
MiMo-V2.6-Pro0.544 / 46.324
GPT-6 Astra (Low)20 / 45.782
Qwen3.8 Max (0902)3 / 45.415
DeepSeek V4.1 Flash 1017 (Max)0.525 / 45.097
GLM-5.3 (Max)2.15 / 44.777
Ling 3.1 Flash 10190.45 / 43.897
Step 5 Preview1.425 / 43.734
Claude Haiku 5.5 (Max)0.2 / 43.395
MiniMax-M3.1-Flash0.262 / 42.706
Claude Opus 5.5 (Low, Default Fallback)8 / 42.308
Grok 4.7 (Low)3 / 42.217
GPT-6.1 Sol (Low)4 / 42.084
GPT-5.6 Terra (Max)4.5 / 42.083
GLM-5.3-Flash0.238 / 41.807
Claude Haiku 5.5 (Xhigh)0.2 / 41.249
Ling 3.1 Flash0.45 / 41.091
Gemini 3.8 Flash (High)1.5 / 40.926
Claude Sonnet 5.5 (Medium, Default Fallback)4 / 40.839
Qwen3.8 2.4T A95B3 / 39.946
Qwen3.8-Flash-Next0.23 / 39.822
Gemini 3.8 Flash (Medium)1.5 / 39.774
Muse Spark Open (Xhigh)2 / 38.867
Mistral Large 4 Preview2.065 / 38.377
GPT-6 Luna (Max)0.2 / 38.125
GPT-5.6 Terra (Xhigh)4.5 / 37.951
MiMo-V2.6-Flash0.175 / 37.884
Claude Haiku 5.5 (High)0.2 / 37.824
DeepSeek V4 Pro 0813 (Max)1.98 / 35.997
Claude Sonnet 5.5 (Low, Default Fallback)4 / 35.868
DeepSeek V4 Flash Vision (Max)0.66 / 34.839
GPT-6 Luna (Xhigh)0.2 / 34.559
Claude Haiku 5.5 (Medium)0.2 / 34.465
GLM-5.3 (Low)2.15 / 34.299
GPT-5.6 Terra (High)4.5 / 34.238
Qwen3.8 27B (Xhigh)1.125 / 33.676

CapabilitiesDetails

Sorted by capability index, with reasoning configurations kept separate. Estimates and historical records follow rank-eligible entries.

On this page20records
  1. 121

    Qwen3 Coder Next

    Alibaba

    Capability index
    9.24
    Input / million tokens
    $0.31
    Output / million tokens
    $1
    Value · 3:1 usage mix
    —
  2. 122

    Granite 4.2 3B

    IBM

    Capability index
    9.06
    Input / million tokens
    $0.03
    Output / million tokens
    $0.12
    Value · 3:1 usage mix
    —
  3. 123

    gpt-oss-20b (High)

    OpenAI

    Capability index
    8.97
    Input / million tokens
    $0.05
    Output / million tokens
    $0.22
    Value · 3:1 usage mix
    —
  4. 124

    Gemma 4 E4B (Reasoning)

    Google

    Capability index
    8.91
    Input / million tokens
    $0.02
    Output / million tokens
    $0.1
    Value · 3:1 usage mix
    —
  5. 125

    NVIDIA Nemotron 3 Nano 30B A3B (Reasoning)

    NVIDIA

    Capability index
    8.90
    Input / million tokens
    $0.05
    Output / million tokens
    $0.2
    Value · 3:1 usage mix
    —
  6. 126

    Llama 4 Scout

    Meta

    Capability index
    6.45
    Input / million tokens
    $0.18
    Output / million tokens
    $0.66
    Value · 3:1 usage mix
    —
  7. 127

    Celeris-1

    Celeris

    Capability index
    6.35
    Input / million tokens
    $0.2
    Output / million tokens
    $0.7
    Value · 3:1 usage mix
    —
  8. 128

    Ministral 3 14B

    Mistral

    Capability index
    6.04
    Input / million tokens
    $0.2
    Output / million tokens
    $0.2
    Value · 3:1 usage mix
    —
  9. 129

    Ministral 3 8B

    Mistral

    Capability index
    5.48
    Input / million tokens
    $0.15
    Output / million tokens
    $0.15
    Value · 3:1 usage mix
    —
  10. 130

    Ministral 3 3B

    Mistral

    Capability index
    4.84
    Input / million tokens
    $0.1
    Output / million tokens
    $0.1
    Value · 3:1 usage mix
    —
  11. 131

    NVIDIA Nemotron 3 Nano 4B

    NVIDIA

    Capability index
    4.77
    Input / million tokens
    —
    Output / million tokens
    —
    Value · 3:1 usage mix
    —
  12. 132

    K2 Horizon 0.9B

    Institute of Foundation Models

    Capability index
    3.05
    Input / million tokens
    —
    Output / million tokens
    —
    Value · 3:1 usage mix
    —
  13. —

    Agnes 2.5 Pro Beta

    Sapiens AI · Estimated score

    Capability index
    35.24
    Input / million tokens
    $0.1
    Output / million tokens
    $0.3
    Value · 3:1 usage mix
    —
  14. —

    Motif 3

    Motif Technologies · Estimated score

    Capability index
    33.57
    Input / million tokens
    —
    Output / million tokens
    —
    Value · 3:1 usage mix
    —
  15. —

    GPT-5.3 Codex (Xhigh)

    OpenAI · Estimated score

    Capability index
    32.50
    Input / million tokens
    $1.75
    Output / million tokens
    $14
    Value · 3:1 usage mix
    —
  16. —

    Nex-N2-Pro (Based on Qwen3.5-397B-A17B)

    Nex AGI · Estimated score

    Capability index
    28.20
    Input / million tokens
    —
    Output / million tokens
    —
    Value · 3:1 usage mix
    —
  17. —

    JT-4.1 Flash 236B A21B (Non-reasoning)

    China Mobile · Estimated score

    Capability index
    27.29
    Input / million tokens
    —
    Output / million tokens
    —
    Value · 3:1 usage mix
    —
  18. —

    Solar Open2 250B

    Upstage · Estimated score

    Capability index
    24.74
    Input / million tokens
    —
    Output / million tokens
    —
    Value · 3:1 usage mix
    —
  19. —

    G9v3-39A5B

    AI9Stars · Estimated score

    Capability index
    21.83
    Input / million tokens
    —
    Output / million tokens
    —
    Value · 3:1 usage mix
    —
  20. —

    KAT Coder Pro V2

    KwaiKAT · Estimated score

    Capability index
    21.70
    Input / million tokens
    —
    Output / million tokens
    —
    Value · 3:1 usage mix
    —
Ranking criteria & test conditions
  • Intelligence scores come from the same leaderboard snapshot. Reasoning configurations remain separate; estimated scores and retired models are excluded from the highlights.
  • Release dates follow the report and are separate from our update dates. Undated models are excluded from recent releases. A report’s date is not treated as independent proof of an official model release.
  • Text prices use USD per million tokens, with input and output stored separately. Subscription, cache and media charges are not mixed into this comparison.
  • Value picks require an intelligence score of at least 30 and rank by score ÷ (3 × input price + output price) × 4, selecting the highest value for each developer. This assumes a 3:1 text input/output ratio; actual task costs vary.
  • Developer highlights show one representative per developer. Model aliases and reasoning configurations are not automatically mapped to a specific catalog version. Full results retain the original configurations and missing values.

Charts are calculated from the full report, independently of the detail page. Release activity uses release dates, not changes in model capability over time. Missing prices are not zero costs.