LLM Comparison 2026
Compare 13+ proprietary and 8+ open-source LLMs with detailed benchmarks, pricing, and use cases
Latest frontier with best reasoning
- State-of-the-art reasoning
- Best math/logic
- Superior code gen
- Contextual understanding
Best safety & enterprise reliability
- Best safety (99/100)
- Extended thinking
- Large context (500K)
- Production-ready
Balanced variant with strong performance
- Great value
- Balanced performance
- Production use
- Fast response times
Open-source powerhouse rivaling GPT-4
- 1/10th GPT cost
- MoE efficiency
- Strong coding
- MIT license
Largest context with 2M tokens
- 2M context window
- Long documents
- Multimodal
- Google integration
Largest open-weights model
- 405B parameters
- Open weights
- Fine-tunable
- No API costs at scale
Top Open Source LLMs
Rivals GPT-4 performance at 1/10th the cost. 89.6% HumanEval, 87.5% MMLU.
View on HuggingFaceMeta's flagship with 89.8% HumanEval. Best for fine-tuning and customization.
View on HuggingFaceSelf-host to eliminate per-token costs. At scale, 10-100x cheaper than API calls.
Keep sensitive data on your infrastructure. No third-party data retention.
Fine-tune on your domain data. Modify behavior and add specialized knowledge.
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