LLM Comparison 2026
Compare current production LLMs with real pricing, context windows, and use cases. Data current as of April 2026.
GPT-4o
Current frontier model
128K
$15 / $60 per 1M (input/output)
Strengths:
Claude 3.5 Sonnet
Best balance of capability and speed
200K
$3 / $15 per 1M
Strengths:
Gemini 2 Flash
Efficient with large context
1M
$0.075 / $0.3 per 1M
Strengths:
DeepSeek-R1
Open-source with strong reasoning
64K
Open source (self-host)
Strengths:
Llama 3.1 405B
Largest open-source model
128K
Open source (self-host)
Strengths:
Mistral Large
Efficient proprietary model
32K
$2.7 / $8.1 per 1M
Strengths:
Model Selection Guide
Recommended:
Strong code generation and understanding for software engineering tasks
Recommended:
Gemini: 1M tokens | Claude: 200K - excellent for analyzing large documents
Recommended:
Gemini: $0.075/1M input | DeepSeek/Llama: Free open-source options
Recommended:
Proven stability and safety for production applications
Recommended:
Full control, no per-token costs, customizable for your use case
Recommended:
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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