Artificial Analysis data
Benchmark data is provided by Artificial Analysis; editorial analysis is produced by AI Model Comparison. We preserve the source units and leave unavailable fields blank.
Stop guessing. Start knowing. Data provided by Artificial Analysis; editorial analysis by AI Model Comparison. Find the most efficient, powerful, and cost-effective AI model for your specific task in minutes.
Source-linked data for researchers and builders
Live from the catalog
Each point is the highest-scoring variant of a model family, read from the same catalog behind every comparison page. Price is a blended cost per 1M tokens, weighted 75% input and 25% output.
Cheaper to the left, stronger toward the top. The highlighted line joins the models that nothing else beats on price and score at the same time.
Nothing in this set beats these on both price and score: GPT-5.6 Luna ($0.45, 52.3) · Gemini 3.7 Flash ($1.50, 56) · Muse Spark 1.2 ($2.00, 56.8) · GLM-5.3 ($2.15, 59.5) · Grok 4.6 ($3.00, 60.9) · Claude Opus 5 ($10, 63.1)
| Model | Index | Per 1M | Index per $ |
|---|---|---|---|
| GPT-5.6 Luna | 52.3 | $0.45 | 116 |
| MiniMax-M3 | 45.4 | $0.52 | 86 |
| DeepSeek V4 Pro | 45.3 | $0.54 | 83 |
| DeepSeek V4 Flash 0731 | 51.8 | $0.66 | 78 |
| Qwen3.8 27B | 52 | $1.14 | 46 |
| Gemini 3.7 Flash | 56 | $1.50 | 37 |
| Gemini 3.6 Flash | 51.6 | $1.50 | 34 |
| Muse Spark 1.2 | 56.8 | $2.00 | 28 |
One row per provider, so you can see how the leaders line up across vendors.
Head to head
Open a side-by-side breakdown of two models, with pricing, benchmarks, and a written verdict.
Platform
Our platform organizes source-linked metrics across creative text generation, complex reasoning, code completion, and data analysis. Each comparison keeps the original units and separates catalog facts from editorial interpretation.
Benchmark data is provided by Artificial Analysis; editorial analysis is produced by AI Model Comparison. We preserve the source units and leave unavailable fields blank.
We don't just show you stats in isolation. Our core feature is a dynamic, side-by-side AI Model Comparison view. You can select multiple models and directly compare their performance on key metrics like accuracy, speed, context window, and cost-per-token. This granular AI Model Comparison is essential for a true evaluation.
A model that performs well on one task may not fit another. Compare the available catalog signals, then validate prompts, tools, data, reliability, and service tier in your own environment before choosing a model.
Primary benchmark data is provided by Artificial Analysis; editorial analysis is produced by AI Model Comparison. We preserve source values and document missing fields instead of inventing replacement scores.
We separate source measurements such as benchmark scores, speed, latency, and token pricing from editorial explanations. Qualitative claims are included only when their source and method are documented.
Catalog pages use the current imported snapshot, while published articles remain dated snapshots. Recheck provider pricing and availability before production use.
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