LLM Comparison 2026
Compare 13+ proprietary and 8+ open-source LLMs with detailed benchmarks, pricing, and use cases
13+
Models
6
Benchmarks
$0.10-$20
Input Pricing
2M
Max Context
GPT-5.4
OpenAI
256K
Latest frontier with best reasoning
Pricing
$20 / $80 per 1M
Benchmarks
MMLU: 94.2% | HumanEval: 94.8% | GSM8K: 99.5%
Strengths
- State-of-the-art reasoning
- Best math/logic
- Superior code gen
- Contextual understanding
Claude 4.6 Opus
Anthropic
500K
Best safety & enterprise reliability
Pricing
$18 / $90 per 1M
Benchmarks
MMLU: 93.8% | HumanEval: 93.6% | GSM8K: 98.8%
Strengths
- Best safety (99/100)
- Extended thinking
- Large context (500K)
- Production-ready
GPT-5.2
OpenAI
256K
Balanced variant with strong performance
Pricing
$4 / $12 per 1M
Benchmarks
MMLU: 92.1% | HumanEval: 93.5% | GSM8K: 97.4%
Strengths
- Great value
- Balanced performance
- Production use
- Fast response times
DeepSeek V3
DeepSeek
128K
Open-source powerhouse rivaling GPT-4
Pricing
$0.27 / $1.10 per 1M
Benchmarks
MMLU: 87.5% | HumanEval: 89.6% | GSM8K: 94.8%
Strengths
- 1/10th GPT cost
- MoE efficiency
- Strong coding
- MIT license
Gemini 3 Ultra
Google
2M
Largest context with 2M tokens
Pricing
$2 / $10 per 1M
Benchmarks
MMLU: 91.2% | HumanEval: 92.1% | GSM8K: 96.8%
Strengths
- 2M context window
- Long documents
- Multimodal
- Google integration
Llama 4 405B (Open Source)
Meta
128K
Largest open-weights model
Pricing
Free (self-host)
Benchmarks
MMLU: 89.5% | HumanEval: 89.8% | GSM8K: 94.2%
Strengths
- 405B parameters
- Open weights
- Fine-tunable
- No API costs at scale
Top Open Source LLMs
DeepSeek V3
671B MoE (37B active) | MIT License
Rivals GPT-4 performance at 1/10th the cost. 89.6% HumanEval, 87.5% MMLU.
View on HuggingFaceLlama 4 405B
405B Parameters | Llama License
Meta's flagship with 89.8% HumanEval. Best for fine-tuning and customization.
View on HuggingFaceWhy Choose Open Source LLMs?
Cost Control
Self-host to eliminate per-token costs. At scale, 10-100x cheaper than API calls.
Data Privacy
Keep sensitive data on your infrastructure. No third-party data retention.
Customization
Fine-tune on your domain data. Modify behavior and add specialized knowledge.