DevBolt
Processed in your browser. Your data never leaves your device.

How do I compare AI models and coding IDEs?

Browse and compare 23 AI models from OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek, and xAI plus 5 coding IDEs. Filter by provider, tier, or capabilities, sort by context window or pricing, and view side-by-side comparisons of up to 4 models. Data is regularly updated with the latest pricing.

Compare GPT-4o vs Claude Sonnet
Input
Models: GPT-4o, Claude 3.5 Sonnet
Compare: price, context, speed
Output
            GPT-4o    Claude 3.5
Input:      $2.50/M   $3.00/M
Output:     $10.00/M  $15.00/M
Context:    128K      200K
Speed:      Fast      Fast
Reasoning:  ✓         ✓
Vision:     ✓         ✓
← Back to tools

AI Model Comparison

Compare pricing, context windows, and capabilities of 23 API models from 7 providers, plus 5 AI coding IDEs. Updated March 2026.

CompareModelInput $/1M↑Output $/1MContext
GPT-4.1 nano
OpenAI
budget
$0.10$0.401M
Gemini 2.0 Flash
Google
budget
$0.10$0.401M
GPT-4o mini
OpenAI
budget
$0.15$0.60128K
Gemini 2.5 Flash
Google
mid
$0.15$0.601M
Llama 4 Scout
Meta
mid
$0.20$0.20524K
Claude Haiku 4.5
Anthropic
budget
$0.25$1.25200K
DeepSeek V3
DeepSeek
mid
$0.27$1.10131K
Codestral
Mistral
mid
$0.30$0.90256K
Grok 3 mini
xAI
mid
$0.30$0.50131K
GPT-4.1 mini
OpenAI
mid
$0.40$1.601M
Gemini 3 Flash
Google
mid
$0.50$3.001M
Llama 4 Maverick
Meta
flagship
$0.50$0.501M
DeepSeek R1
DeepSeek
flagship
$0.55$2.19131K
o4-mini
OpenAI
mid
$1.10$4.40200K
Gemini 2.5 Pro
Google
flagship
$1.25$10.001M
GPT-4.1
OpenAI
flagship
$2.00$8.001M
o3
OpenAI
flagship
$2.00$8.00200K
Gemini 3.1 Pro
Google
flagship
$2.00$12.001M
Mistral Large
Mistral
flagship
$2.00$6.00128K
GPT-4o
OpenAI
flagship
$2.50$10.00128K
Claude Sonnet 4.6
Anthropic
mid
$3.00$15.001M
Grok 3
xAI
flagship
$3.00$15.00131K
Claude Opus 4.6
Anthropic
flagship
$5.00$25.001M
23
Models
$0.10
Cheapest Input /1M
1M
Largest Context
11
Reasoning Models

About This Comparison

Pricing reflects publicly listed API prices as of March 2026. Actual costs may vary with batch pricing, prompt caching, or volume discounts. Meta/Llama prices are based on common API providers (Together, Fireworks).

Tiers: Flagship = most capable model in the family, Mid = balanced cost/performance, Budget = cheapest option.

Capabilities: Vision = image/document input, Reasoning = built-in chain-of-thought or thinking, Tools = function calling / tool use, OSS = open-source weights available.

Tips & Best Practices

Pro Tip

Match model tier to task complexity — don't default to the largest model

GPT-4o Mini and Claude 3.5 Haiku handle classification, extraction, and simple Q&A at 10-20x lower cost than their flagship siblings. Reserve GPT-4o and Claude Opus for complex reasoning, code generation, and multi-step tasks.

Common Pitfall

Benchmark scores don't reflect real-world application performance

A model scoring 90% on MMLU might perform poorly on your specific domain. Always evaluate models against your actual use case with a representative test set. Academic benchmarks measure general capability, not fitness for your task.

Real-World Example

Use different models for different pipeline stages

A cost-effective AI pipeline might use Haiku for initial classification, Sonnet for content generation, and Opus only for final quality review. Mixing model tiers in a pipeline can cut costs 60-80% with minimal quality loss.

Security Note

Check data retention policies before sending sensitive content

Some API tiers use your data for model training unless you opt out. OpenAI's default API doesn't train on data, but ChatGPT conversations may be used. Check each provider's data usage policy, especially for regulated industries (healthcare, finance).

Frequently Asked Questions

How do I compare AI models like GPT-4, Claude, and Gemini side by side?
Use DevBolt's AI Model Comparison table to filter and sort 21 models from 7 providers including OpenAI, Anthropic, Google, Meta, Mistral, xAI, and DeepSeek. You can compare context window sizes, pricing per million tokens, supported modalities, and release dates in a single view. Click any two models to see a detailed side-by-side comparison highlighting the differences. The table is kept up to date with current pricing and capabilities. This saves hours of switching between provider websites and documentation pages to gather the same information. All data is displayed client-side with no account or API key required.
What is the difference between context window size and max output tokens in AI models?
The context window is the total number of tokens an AI model can process in a single request, including both your input prompt and the model's response. Max output tokens is the maximum length of the model's generated response alone. For example, a model with a 128K context window and 4K max output can accept roughly 124K tokens of input but will only generate up to 4K tokens in its reply. Larger context windows allow processing longer documents, codebases, or conversation histories. Models like Claude offer 200K context windows while GPT-4 Turbo offers 128K. Choosing the right context size depends on whether you need to analyze large documents or just handle short conversational exchanges.
How much does it cost to use AI model APIs like GPT-4 and Claude?
AI model API pricing is measured per million tokens, with separate rates for input and output tokens. Pricing varies significantly: frontier models cost roughly $3-15 per million input tokens and $15-75 per million output tokens. Smaller models are 10-20x cheaper. Open-source models like Llama and Mistral can be self-hosted for the cost of GPU compute. DevBolt's comparison table shows current pricing for all major models so you can estimate costs before committing to a provider. Output tokens are typically 3-5x more expensive than input tokens across all providers.

Related Inspect Tools

{ }

JSON Visualizer

Visualize JSON as an interactive tree — collapsible nodes, search, path copy, depth controls, and data statistics

GDV

Git Diff Viewer

Paste unified diff output from git diff and view it with syntax highlighting, line numbers, and side-by-side or inline display

ZIP

Compression Tester

Test and compare Brotli, Gzip, and Deflate compression ratios for text content — sizes, savings, and speed

TS6

TypeScript 6.0 Migration Checker

Analyze your tsconfig.json for TS 6.0 breaking changes, deprecated options, new defaults, and get a readiness grade with fixes