LLM Comparison
GPT-5.5 vs Llama 4 Scout
Side-by-side specs, pricing & capabilities · Updated April 2026
Price vs Intelligence
Add to comparison
2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 90 5.1 | 17 87.4 |
| Family | GPT | Llama |
| Status | Current | Current |
| Release Date | Apr 2026 | Apr 2025 |
| Context Window | 1.1M tokens | 328K tokens |
| Input Price | $5.00/M tokens | $0.08/M tokens |
| Output Price | $30.00/M tokens | $0.30/M tokens |
| Pricing Notes | Cached input: $0.50/M tokens. Long context (>272K tokens): 2x input, 1.5x output. Batch API: 50% discount. Priority: 2.5x standard. | — |
| Capabilities | textvisioncodetool-useextended-thinkingcomputer-useweb-search | textvisioncode |
| Training Cutoff | December 2025 | — |
| Max Output | 128K tokens | 16K tokens |
| API Identifier | openai/gpt-5.5 | meta-llama/llama-4-scout |
| Benchmarks | ||
| MMLU | 92.4openai | 79.6meta |
| GPQA Diamond | 93.6openai | — |
| ARC-AGI-2 | 85openai | — |
| Terminal-Bench 2.0 | 82.7openai | — |
| SWE-bench Pro | 58.6openai | — |
| OSWorld-Verified | 78.7openai | — |
| BrowseComp | 84.4openai | — |
| MMMU-Pro | 81.2openai | — |
| FrontierMath Tier 4 | 35.4openai | — |
| HLE (with tools) | 52.2openai | — |
| GDPval | 84.9openai | — |
| Toolathlon | 55.6openai | — |
| CyberGym | 81.8openai | — |
| MRCR v2 512K-1M | 74openai | — |
| MMLU Pro | — | 74.3meta |
| GPQA | — | 57.2meta |
| MATH | — | 50.3meta |
| LiveCodeBench | — | 32.8meta |
| MMMU | — | 69.4meta |
| MGSM | — | 91meta |
| View GPT-5.5 | View Llama 4 Scout | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Llama 4 ScoutCheapest | $0.08 | $0.15 | $0.23 | — |
| GPT-5.5 | $5.00 | $15.00 | $20.00 | +8596% |
OpenAI
GPT-5.5
GPT-5.5 is OpenAI's smartest and most intuitive model, built for agentic work like coding, research, and data analysis. It matches GPT-5.4 per-token latency while delivering higher intelligence with significantly fewer tokens. Supports a 1,050,000 token context window and five reasoning effort levels (none through xhigh).
Meta
Llama 4 Scout
Llama 4 Scout is a multimodal llm from Meta. Supports up to 327,680 token context window. Achieves 82.6% on MMLU. Available from $0.08/M input tokens.
More Comparisons
Looking for more AI models?
Browse All LLMs