Compare AI Models Side-by-Side Across 14 Benchmarks

Select 2-5 models and compare them side-by-side across every benchmark.

Models: GPT-5.2 Claude Opus 4.6 Gemini 3.1 Pro DeepSeek R1 0528

Benchmarks

Chatbot Arena ELO (ELO)

Human preference ELO from blind head-to-head votes
Higher is better
1475 1496 1501 1375

MMLU-Pro (%)

Massive Multitask Language Understanding professional benchmark
Higher is better
83.0% 82.0% 92.6% 84.0%

HumanEval+ (%)

Code generation correctness with extended tests
Higher is better
95.0% 93.5% 93.0% 88.0%

IFEval (%)

Strict instruction following accuracy on verifiable constraints
Higher is better
95.0% 91.0% 92.0% 88.0%

MATH (%)

Competition mathematics problem solving
Higher is better
97.0% 92.0% 93.0% 96.0%

SWE-bench Verified (%)

Real-world software engineering task resolution
Higher is better
80.0% 80.8% 80.6% 55.0%

GPQA Diamond (%)

Graduate-level science Q&A by domain experts
Higher is better
92.4% 91.3% 94.1% 81.0%

Output Speed (tok/s)

Tokens generated per second
Higher is better
90 68 65 40

Time to First Token (ms)

Latency before first token arrives
Lower is better
380 1680 4200 900

LiveCodeBench (%)

Live competitive programming benchmark
Higher is better
80.0% 72.0% 75.0% 58.0%

Input Cost ($/1M)

Cost per 1M input tokens
Lower is better
$1.8 $5.0 $2.0 $0.55

Aider Polyglot (%)

Multi-language code editing accuracy with real git repos
Higher is better
75.0%

Output Cost ($/1M)

Cost per 1M output tokens
Lower is better
$14.0 $25.0 $12.0 $2.2

BFCL (%)

Berkeley Function Calling Leaderboard — tool use accuracy
Higher is better
59.2% 70.4%

GSM8K (%)

Grade school math word problems
Higher is better
99.0% 97.0% 98.0% 97.5%

AIME 2025 (%)

American Invitational Mathematics Examination — competition math
Higher is better
100.0% 100.0% 95.0% 87.5%

ARC-AGI (%)

Abstraction and Reasoning Corpus for general intelligence
Higher is better
54.2% 60.0% 77.1% 15.0%

Context Length (tokens)

Maximum context window size
Higher is better
400K 200K 1.0M 131K

AI Comparison Tool FAQ

How many AI models can I compare at once?

You can compare 2 to 5 AI models side-by-side. Select models from the dropdown to add them to the comparison. This range lets you see meaningful differences without overwhelming the charts.

What benchmarks are included in the comparison?

The comparison includes all 14+ benchmarks tracked by the AI Value Index: Chatbot Arena ELO, SWE-bench Verified, MMLU-Pro, HumanEval, MATH, GPQA Diamond, output speed, time to first token, input and output pricing, and more across General, Coding, Math, Reasoning, Speed, and Cost categories.

Can I share my AI model comparison?

Yes. The URL updates as you select models, so you can copy and share the link with anyone. They will see the exact same comparison you created. You can also bookmark comparisons for later reference.

What is the difference between radar and bar chart views?

The radar chart shows all metrics at once on a spider/polygon chart, making it easy to see overall strengths and weaknesses. Bar charts compare models on individual metrics with exact values. Use radar for a quick overview and bar charts for precise comparisons.

Which AI models should I compare?

It depends on your use case. For best quality, compare flagship models like GPT-5.2, Claude Opus 4.6, and Gemini 2.5 Pro. For value, compare mid-range options like GPT-5, Claude Sonnet 4.6, and DeepSeek V3.2. For budget apps, compare GPT-5 Nano, Gemini Flash, and Qwen models.