LLM Comparison Matrix
Ratings are directional, not absolute. Updated May 31, 2026 with latest releases and pricing changes. Use 1-5 ranking to compare faster, then sort by what matters most for your product.
Latest matrix includes: Claude Opus 4.8 (new frontier), Claude Sonnet 4.6 (1M context fast), GPT-5.5-Pro (highest intelligence), GPT-5.5, GPT-5.4 mini (coding/subagents), Gemini 3.5 Flash (stable), Gemma 4 31B (open reasoning), Llama 4 Maverick (402B MoE), DeepSeek V4-Pro (862B), Qwen3.5-35B-A3B (MoE coding), and Mistral Medium 3.5.
| Model | Overall | Reasoning | Coding | Cost Efficiency | Latency | Context Quality | Deployment Control |
|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 | |||||||
| GPT-5.5-Pro | |||||||
| GPT-5.5 | |||||||
| GPT-5.4 mini | |||||||
| Claude Sonnet 4.6 | |||||||
| Claude Haiku 4.5 | |||||||
| Gemini 3.5 Flash | |||||||
| Gemma 4 31B | |||||||
| Llama 4 Maverick | |||||||
| Llama 4 Scout | |||||||
| Mistral Medium 3.5 | |||||||
| Qwen3.5-35B-A3B | |||||||
| DeepSeek V4-Pro |
Score key: 5 = excellent, 4 = strong, 3 = medium, 2 = low.
Interpreting the Matrix
For customer-facing quality, prioritize reasoning + context quality. For internal automation at scale, prioritize cost efficiency + latency.