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LLM Comparison 2026
Compare current production LLMs with real pricing, context windows, and use cases. Data current as of April 2026.
6
Models
Verified
April 2026
$0.075-$15
Input Pricing
1M
Max Context
GPT-4o
OpenAI
Current frontier model
Context Window:
128K
Pricing:
$15 / $60 per 1M (input/output)
Strengths:
Advanced reasoning
Multimodal
Strong coding
Production-ready
Claude 3.5 Sonnet
Anthropic
Best balance of capability and speed
Context Window:
200K
Pricing:
$3 / $15 per 1M
Strengths:
Great coding
Extended context
Production stable
Strong safety
Gemini 2 Flash
Efficient with large context
Context Window:
1M
Pricing:
$0.075 / $0.3 per 1M
Strengths:
Large context
Fast inference
Multimodal
Cost effective
DeepSeek-R1
DeepSeek
Open-source with strong reasoning
Context Window:
64K
Pricing:
Open source (self-host)
Strengths:
Open weights
Reasoning focused
Cost effective
Customizable
Llama 3.1 405B
Meta
Largest open-source model
Context Window:
128K
Pricing:
Open source (self-host)
Strengths:
405B parameters
Open weights
Fine-tunable
No API costs
Mistral Large
Mistral
Efficient proprietary model
Context Window:
32K
Pricing:
$2.7 / $8.1 per 1M
Strengths:
Fast inference
Good value
Multilingual
Production ready
Model Selection Guide
Best for Coding
Recommended:
Claude 3.5 Sonnet
GPT-4o
Strong code generation and understanding for software engineering tasks
Best for Long Documents
Recommended:
Gemini 2 Flash
Claude 3.5 Sonnet
Gemini: 1M tokens | Claude: 200K - excellent for analyzing large documents
Best for Cost
Recommended:
Gemini 2 Flash
Mistral Large
DeepSeek-R1
Gemini: $0.075/1M input | DeepSeek/Llama: Free open-source options
Best for Enterprise
Recommended:
Claude 3.5 Sonnet
GPT-4o
Proven stability and safety for production applications
Best for Self-Hosting
Recommended:
Llama 3.1 405B
DeepSeek-R1
Full control, no per-token costs, customizable for your use case
Best Multimodal
Recommended:
GPT-4o
Gemini 2 Flash
Claude 3.5 Sonnet
Image, video, and text understanding across all options
Note: Pricing and capabilities shown are accurate as of April 2026. LLM capabilities evolve rapidly. For the latest benchmarks and pricing, check the official documentation from each provider.
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