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AI Model Comparison

Compare features, pricing, and capabilities of popular AI models side by side.

ModelProviderContext Window Input PriceOutput Price MultimodalOpen SourceBest For
GPT-4oOpenAI128K $2.50$10 ✅❌ General purpose, vision
GPT-4OpenAI128K $30$60 ✅❌ Complex reasoning
GPT-3.5 TurboOpenAI16K $0.50$1.50 ❌❌ Fast, cost-effective
Claude Opus 4Anthropic200K $15$75 ✅❌ Complex analysis, coding
Claude Sonnet 4Anthropic200K $3$15 ✅❌ Balanced performance
Claude 3.5 HaikuAnthropic200K $0.80$4 ✅❌ Fast, simple tasks
Gemini 1.5 ProGoogle2M $1.25$5 ✅❌ Long context, multimodal
Gemini 1.5 FlashGoogle1M $0.075$0.30 ✅❌ Ultra-fast, cheapest
Llama 3.1 405BMeta128K Free*Free* ❌✅ Self-hosted, privacy
Mistral LargeMistral128K $2$6 ❌❌ European, multilingual

Prices shown are per 1M tokens. Updated 2026-05-05. Specs and pricing can change; verify with the provider.

Overview

Compare AI models by context, pricing, and strengths.

Best for

  • Select a model for a new project.
  • Explain trade-offs to stakeholders.
  • Pick a model for latency-sensitive apps.

Step-by-step

  1. Choose models to compare.
  2. Review context, price, and notes.
  3. Export or share the comparison.

Examples

Example 1
Input
Compare: GPT-4o vs Claude Sonnet
Output
Table with context, price, strengths
Side-by-side comparison.
Example 2
Input
Filter: open-source models
Output
List of open-source options
Highlights self-hosted choices.
Example 3
Input
Compare: cost vs context
Output
Table showing price and context size
Compare trade-offs side by side.

Common mistakes

  • Model specs change; verify recent docs.
  • Benchmarks vary by task.
  • Benchmarks may not reflect your workload.

Pro tips

  • Run a short pilot before committing.
  • Consider latency and ecosystem, not just price.

FAQ

Is the data always current?
We refresh regularly, but check official pricing pages.
Does this upload my data?
No. Everything runs locally in your browser.
Can I use it offline?
Yes. After the page loads, most tools work offline. Some assets (like fonts) may need a connection.

Data & privacy

All processing happens locally in your browser. No data is uploaded or stored.

Why this page is useful in real work

The widget gives you a fast result. This review section explains where that result is genuinely useful and where a second check still matters before you act on it.

Real workflow fit

Operators comparing model families for latency, reasoning depth, formatting reliability, and multimodal fit.

What this output still does not decide

Static comparisons age fast and cannot replace live benchmarking on your own prompts, traffic patterns, and quality bar.

Review before you share or ship
  • Current model version, context window, pricing, and rate limits.
  • Latency and quality under your real workload instead of headline claims.
  • Any safety, jurisdiction, or compliance constraints tied to the chosen provider.
A practical workflow that keeps this page useful
  1. List the capabilities that actually matter for your task before comparing anything else.
  2. Score candidates against the same prompt set and output review rubric.
  3. Record the tradeoffs you observed, not just the one-line winner.
  4. Revisit the decision whenever a provider ships a major model update.
Best next step

Use the matrix here to frame a decision, then let repeatable benchmark prompts choose the production model.