Find the right AI for you

Search by name or tell us what you want to do
API servicesChoose how to access modelsAI modelsCapabilities, specifications, and pricingAI toolsFind useful tools by taskMCP directoryConnect tools, data, and workflowsAgent skillsFind reusable skills for AI agentsBenchmarksCompare model performanceOnline toolsConvert accounts, format JSON, estimate costs and test APIsModel timelineExplore model releasesUse casesStart with a practical task
EnterSearch · ↑↓Choose a resultEscClose
Submit中文
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. 101

    Qwen3.6 35B A3B (Reasoning)

    Alibaba

    Capability index
    18.23
    Input / million tokens
    $0.375
    Output / million tokens
    $2.25
    Value · 3:1 usage mix
    —
  2. 102

    Muse Glimmer (High)

    Meta

    Capability index
    17.48
    Input / million tokens
    $0.3
    Output / million tokens
    $1.2
    Value · 3:1 usage mix
    —
  3. 103

    Ring-2.6-1T

    InclusionAI

    Capability index
    16.62
    Input / million tokens
    $0.3
    Output / million tokens
    $2.5
    Value · 3:1 usage mix
    —
  4. 104

    K2 Horizon 3.7B

    Institute of Foundation Models

    Capability index
    15.61
    Input / million tokens
    —
    Output / million tokens
    —
    Value · 3:1 usage mix
    —
  5. 105

    Qwen3.5 122B A10B (Reasoning)

    Alibaba

    Capability index
    15.57
    Input / million tokens
    $0.4
    Output / million tokens
    $3.2
    Value · 3:1 usage mix
    —
  6. 106

    Gemma 4 31B (Reasoning)

    Google

    Capability index
    14.67
    Input / million tokens
    $0
    Output / million tokens
    $0
    Value · 3:1 usage mix
    —
  7. 107

    Mistral Medium 3.5

    Mistral

    Capability index
    14.19
    Input / million tokens
    $1.5
    Output / million tokens
    $7.5
    Value · 3:1 usage mix
    —
  8. 108

    Command A+

    Cohere

    Capability index
    13.13
    Input / million tokens
    $0
    Output / million tokens
    $0
    Value · 3:1 usage mix
    —
  9. 109

    Nemotron 3.5 Lightning

    NVIDIA

    Capability index
    12.86
    Input / million tokens
    $0.06
    Output / million tokens
    $0.2
    Value · 3:1 usage mix
    —
  10. 110

    Granite 4.2 30B

    IBM

    Capability index
    12.68
    Input / million tokens
    $0.16
    Output / million tokens
    $0.65
    Value · 3:1 usage mix
    —
  11. 111

    MiniCPM5-2B

    OpenBMB

    Capability index
    12.46
    Input / million tokens
    —
    Output / million tokens
    —
    Value · 3:1 usage mix
    —
  12. 112

    Mercury 2.5

    Inception

    Capability index
    12.34
    Input / million tokens
    $0.25
    Output / million tokens
    $0.75
    Value · 3:1 usage mix
    —
  13. 113

    gpt-oss-120b (High)

    OpenAI

    Capability index
    11.60
    Input / million tokens
    $0.15
    Output / million tokens
    $0.6
    Value · 3:1 usage mix
    —
  14. 114

    Mistral Small 4 (Reasoning)

    Mistral

    Capability index
    11.27
    Input / million tokens
    $0.15
    Output / million tokens
    $0.6
    Value · 3:1 usage mix
    —
  15. 115

    Qwen3.5 9B (Reasoning)

    Alibaba

    Capability index
    11.20
    Input / million tokens
    $0.135
    Output / million tokens
    $0.2
    Value · 3:1 usage mix
    —
  16. 116

    Granite 4.2 8B

    IBM

    Capability index
    11.08
    Input / million tokens
    $0.06
    Output / million tokens
    $0.25
    Value · 3:1 usage mix
    —
  17. 117

    Ling 3.0 Tiny

    InclusionAI

    Capability index
    11.06
    Input / million tokens
    $0
    Output / million tokens
    $0
    Value · 3:1 usage mix
    —
  18. 118

    Trinity Large Thinking

    Arcee AI

    Capability index
    10.82
    Input / million tokens
    $0.25
    Output / million tokens
    $0.8
    Value · 3:1 usage mix
    —
  19. 119

    North Mini Code

    Cohere

    Capability index
    9.91
    Input / million tokens
    $0
    Output / million tokens
    $0
    Value · 3:1 usage mix
    —
  20. 120

    Llama 4 Maverick

    Meta

    Capability index
    9.30
    Input / million tokens
    $0.25
    Output / million tokens
    $0.92
    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.