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AI model benchmarks

Compare independent benchmark scores and API prices to find the right models for your work.

Artificial Analysis via OpenRouter100 modelsSnapshot

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Model comparison

Top 10 by coding index

Highest index score

80.7
Claude Fable 5.1 (Xhigh, Default Fallback)

Lowest input price

$0.825
Gemini 3.7 Flash (High) (+1 tied)

Lowest output price

$3.45
Qwen3.8 Max (0902)

Coding index

Measured capability for the top models.

Higher is stronger on this index.

Input price

The same models, priced per 1M input tokens.

USD per million tokens. Lower costs less.

Output price

The same models, priced per 1M output tokens.

USD per million tokens. Lower costs less.

Summary cards and bars compare this top 10 only. Index scores are not percentages.

Cost efficiency

71 model configurations

Index score vs. input price

Each point is a model configuration. Toward the upper left means a higher score for a lower input price.

  • Anthropic
  • OpenAI
  • Google
  • Qwen
  • xAI
  • Meta
  • z-ai
  • moonshotai
  • DeepSeek
  • xiaomi
  • tencent
  • minimax
  • inclusionai
  • thinkingmachines
  • upstage
  • nvidia
  • Mistral
  • cohere
  • ibm-granite
  • Input-price frontier

1 free model is outside this logarithmic scale. Switch to Linear to include it.

The dashed frontier connects models with a higher score than every cheaper model, including free models in that comparison. It considers input pricing only; output prices and your workload also affect total cost. Equal spacing on this logarithmic price scale represents equal price ratios.

29 models are omitted from the scatter because this index score or input price is not reported.

View chart data
All filtered model configurations with a reported coding index. Prices in USD per million tokens.
Model configurationCoding indexInput priceOutput price
Claude Fable 5.1 (Xhigh, Default Fallback)80.7$5.00$25.00
GPT-5.6 Sol (Xhigh)78.3$4.00$20.00
Claude Opus 5 (Max)78$5.50$27.50
GPT-6 Astra (Max)76.9$10.00$50.00
GPT-5.6 Terra (Max)76.7$4.00$24.00
Claude Fable 5 (Max, Opus 4.8 Fallback)76.5$10.00$50.00
Gemini 3.8 Flash (High)76.3$0.825$4.125
Qwen3.8 Max (0902)76.2$1.15$3.45
Gemini 3.7 Flash (High)76.1$0.825$4.125
Grok 4.6 (Xhigh)75.9$1.60$4.80
Muse Spark 1.3 (Max)75.8$1.25$4.25
GPT-5.5 (Xhigh)74.9$2.50$15.00
GLM-5.3 (Max)74.8$0.527$1.075
Claude Opus 4.8 (Max)74.3$10.00$50.00
Claude Opus 4.7 (Max)73.6$5.00$25.00
Grok 4.5 (High)72.4$4.00$12.00
Muse Spark 1.2 (Xhigh)72.2$1.25$4.25
Kimi K3 (Low)72$2.30$14.00
Qwen3.8 2.4T A95B71.9$2.00$6.00
Claude Sonnet 5 (Max)71.5$2.20$11.00
GLM-5.3-Flash71.5$0.15$0.50
GPT-5.6 Luna (Max)71.4$0.20$1.20
Muse Spark 1.1 (Xhigh)71.3$1.25$4.25
GPT-5.4 (Xhigh)71.1$5.00$30.00
Gemini 3.5 Flash (High)70.1$2.70$16.20
Gemini 3.6 Flash (High)69.2$1.35$6.75
DeepSeek V4 Flash 0731 (Max)69.1$0.048$0.144
Qwen3.8 Max68.9Not reportedNot reported
DeepSeek V4 Pro 0813 (Max)68.8$1.98$5.94
Gemini 3.1 Pro Preview68.8$3.60$21.60
GLM-5.2 (Max)68.8$0.527$1.075
Qwen3.8 27B (Xhigh)68.1$0.16$2.00
Qwen3.7 Max66$2.00$6.00
DeepSeek V4 Flash Vision (Max)65$0.44$1.32
Claude Sonnet 4.6 (Max)63$3.00$15.00
Kimi K2.6 (Reasoning)61.8$0.65$3.41
Kimi K2.7 Code60.8$0.7125$3.00
MiMo-V2.5-Pro (Reasoning)60.2$0.435$0.87
KAT Coder Pro V259.5Not reportedNot reported
Nex-N2-Pro (Based on Qwen3.5-397B-A17B)59.1Not reportedNot reported
Hy358.8$0.18$0.60
MiniMax-M358.6$0.224$0.88
Ling-3.0-flash-VL57$0.06$0.18
MiMo-V2.556.8$0.40$2.00
DeepSeek V4 Flash 0420 (Max)56.2$0.105$0.21
GPT-5.4 mini (Xhigh)56.1$1.50$9.00
GPT-5.4 nano (Xhigh)56.1$0.10$0.625
Qwen3.7 Plus55.9$0.23$0.92
GLM-5.1 (Reasoning)55.8$1.33$4.18
Ling-3.0-flash-Fin55.6Not reportedNot reported
Qwen3.6 Plus54.5$0.325$1.95
Qwen3.6 27B (Reasoning)53.7$0.20$3.00
Inkling Small52.9$0.36$0.96
Solar Pro 452.7$0.15$0.60
MiniMax-M2.752.6$0.21$0.84
Claude 4.5 Sonnet (Reasoning)52.1$3.00$15.00
Inkling (Xhigh)52.1$1.00$4.05
Grok Build 0.1 061651.5$2.00$4.00
Ling 3.0 Flash50.6$0.021$0.063
MiMo-V2-Flash (Non-reasoning)49.8Not reportedNot reported
GPT-5.1 (High)49.4$2.50$20.00
Gemini 3.5 Flash-Lite49.3$0.54$4.50
Nemotron 3 Ultra 550B A55B (Reasoning)49.3$0.40$1.76
Muse Glimmer (High)49$0.24$0.96
Qwen3.5 397B A17B (Reasoning)48.2$0.60$3.60
Mistral Medium 3.546.9$0.75$3.75
Kimi K2.5 (Reasoning)46.8$0.60$3.00
Claude 4.5 Haiku (Reasoning)43.9$1.10$5.50
Gemma 4 31B (Reasoning)43.4$0.34$0.10
North Mini Code36.5$0.00$0.00
Gemini 3.1 Flash-Lite34.7$0.45$2.70
gpt-oss-120b (High)30.4$0.15$0.75
Command A+27.8$0.30$1.50
Nemotron 3.5 Lightning26.8$0.05$0.20
Mistral Small 4 (Reasoning)26.6$0.165$0.66
Granite 4.2 8B22.4$0.06$0.25

Leaderboard

Explore benchmark scores and API prices. Shortlist up to three models to compare.

Top 10 of 100 models

Select 2–3 to compare

Artificial Analysis coding index and OpenRouter token prices, ordered by highest score. Scores are not percentages.
Position#ModelCoding indexAPI pricing / 1M tokensAdd to comparison
1Claude Fable 5.1 (Xhigh, Default Fallback)Coding 80.7
In $5.00 / Out $25.00 / 1M tokens
2GPT-5.6 Sol (Xhigh)Coding 78.3
In $4.00 / Out $20.00 / 1M tokens
3Claude Opus 5 (Max)Coding 78.0
In $5.50 / Out $27.50 / 1M tokens
4GPT-6 Astra (Max)Coding 76.9
In $10.00 / Out $50.00 / 1M tokens
5GPT-5.6 Terra (Max)Coding 76.7
In $4.00 / Out $24.00 / 1M tokens
6Claude Fable 5 (Max, Opus 4.8 Fallback)Coding 76.5
In $10.00 / Out $50.00 / 1M tokens
7Gemini 3.8 Flash (High)Coding 76.3
In $0.83 / Out $4.13 / 1M tokens
8Qwen3.8 Max (0902)Coding 76.2
In $1.15 / Out $3.45 / 1M tokens
9Gemini 3.7 Flash (High)Coding 76.1
In $0.83 / Out $4.13 / 1M tokens
10Grok 4.6 (Xhigh)Coding 75.9
In $1.60 / Out $4.80 / 1M tokens

Prices in USD. Missing values are “Not reported.” Configuration labels are preserved from the source.

Methodology & sources

Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).

Licensed under CC BY 4.0. View the license. Artificial Analysis source.

How to read these results

Each view uses one Artificial Analysis index. Intelligence, coding and agentic scores measure different evaluations. They are not percentages and are not combined with popularity or individual test accuracies. Configuration labels are preserved from the source.

Prices are USD per million input or output tokens. The cost-efficiency chart compares input prices only; output prices and your workload also affect total cost. Shortlist models to estimate token charges for the same workload. Actual costs depend on tokens consumed and provider rates.

These general benchmarks do not measure CRE underwriting accuracy. Test a shortlist on the same rent roll, T-12 and lease examples, checking extraction, arithmetic and cited evidence against known answers before using it for live work.

The snapshot timestamp identifies the source data snapshot, not when every model was evaluated.