A practical, up-to-date comparison of the best large language models available via API as of May 4, 2026. Focused on real-world performance, pricing, and use-case fit — not just benchmark scores.
Last updated: 2026-05-04 | Contributions welcome via PR
📊 Model Overview
Model
Provider
Context Window
Input Price (per 1M tokens)
Output Price (per 1M tokens)
Strengths
Claude 4 Sonnet
Anthropic
200K
$3.00
$15.00
Best overall coding + reasoning, extended thinking
Claude 3.7 Sonnet
Anthropic
200K
$3.00
$15.00
Excellent balance of speed and quality
Claude 3.5 Haiku
Anthropic
200K
$0.80
$4.00
Fast and cheap, great for high-volume tasks
GPT-4.1
OpenAI
1M
$2.00
$8.00
Large context, strong instruction following
GPT-4.1 mini
OpenAI
1M
$0.40
$1.60
Budget-friendly, good for simple tasks
GPT-4o
OpenAI
128K
$2.50
$10.00
Multimodal (text + image + audio)
Gemini 2.5 Pro
Google
1M
$1.25 / $2.50
$10.00
Huge context, strong reasoning + thinking
Gemini 2.5 Flash
Google
1M
$0.15
$0.60 / $3.50
Extremely fast and cheap
DeepSeek V3
DeepSeek
128K
$0.27
$1.10
Best value for money, strong coding
DeepSeek R1
DeepSeek
128K
$0.55
$2.19
Deep reasoning with chain-of-thought
Llama 4 Maverick
Meta
1M
Varies
Varies
Open-weight, self-hostable
Qwen3 235B
Alibaba
128K
Varies
Varies
Top open-source, hybrid thinking
💡 Prices are official API rates. Third-party providers often offer 20-50% discounts.
🎯 Best Model by Use Case
Coding & Development
Task
Recommended
Why
Complex refactoring
Claude 4 Sonnet
Best code understanding and generation
Quick code completion
Claude 3.5 Haiku
Fast, accurate, low cost
Debugging
Claude 4 Sonnet / GPT-4.1
Strong reasoning about code logic
Code review
Claude 3.7 Sonnet
Good balance of depth and speed
Writing & Content
Task
Recommended
Why
Long-form articles
Claude 4 Sonnet
Natural writing style, follows instructions well
Translation
Gemini 2.5 Pro
Strong multilingual capabilities
Summarization
Gemini 2.5 Flash
Fast, cheap, handles long docs
Creative writing
Claude 4 Sonnet
Most natural and nuanced output
Data & Analysis
Task
Recommended
Why
Data extraction
GPT-4.1
Reliable structured output, large context
Math / Logic
DeepSeek R1
Deep chain-of-thought reasoning
Research analysis
Gemini 2.5 Pro
1M context for large document sets
Classification
Gemini 2.5 Flash / GPT-4.1 mini
Cheap and fast for high volume
Multimodal
Task
Recommended
Why
Image understanding
GPT-4o / Gemini 2.5 Pro
Native vision capabilities
Document OCR
Gemini 2.5 Pro
Handles PDFs and scanned docs well
Audio transcription
GPT-4o
Native audio input support
⚡ Speed vs Quality Tiers
Tier 1 — Maximum Quality (slower, higher cost)
├── Claude 4 Sonnet (extended thinking)
├── Gemini 2.5 Pro (thinking mode)
└── DeepSeek R1
Tier 2 — Balanced (good quality, reasonable speed)
├── Claude 3.7 Sonnet
├── GPT-4.1
└── GPT-4o
Tier 3 — Fast & Cheap (high throughput)
├── Claude 3.5 Haiku
├── Gemini 2.5 Flash
├── GPT-4.1 mini
└── DeepSeek V3
💰 Cost Efficiency Ranking
For typical workloads (mixed input/output), approximate cost per 1M total tokens:
Rank
Model
~Cost per 1M tokens
Quality
1
Gemini 2.5 Flash
~$0.40
Good
2
GPT-4.1 mini
~$1.00
Good
3
DeepSeek V3
~$0.70
Very Good
4
Claude 3.5 Haiku
~$2.40
Very Good
5
DeepSeek R1
~$1.40
Excellent (reasoning)
6
GPT-4.1
~$5.00
Excellent
7
Gemini 2.5 Pro
~$6.00
Excellent
8
Claude 4 Sonnet
~$9.00
Top tier
🔧 Quick Start: Access All Models with One API
Instead of managing separate API keys for each provider, you can use an API gateway to access all models through a single OpenAI-compatible endpoint.
Example with Python (OpenAI SDK):
python
1from openai import OpenAI
23# Works with any OpenAI-compatible gateway4client = OpenAI(5 api_key="your-api-key",6 base_url="https://your-gateway.com/v1"7)89# Switch models by just changing the model name10models =[11"claude-sonnet-4-20250514",12"gpt-4.1",13"gemini-2.5-pro-preview-05-06",14"deepseek-chat",15]1617for model in models:18 response = client.chat.completions.create(19 model=model,20 messages=[{"role":"user","content":"Explain quicksort in 3 sentences"}],21)22print(f"{model}: {response.choices[0].message.content[:100]}...")