GPT-5.5 Instant vs Llama 4
Pricing, benchmarks, and use case comparison
Quick take
- •GPT-5.5 Instant is meaningfully stronger at speed (92 vs 72 on our capability index).
- •Llama 4 is meaningfully stronger at long context (95 vs 80).
- •Llama 4 is open-weights (free to self-host); GPT-5.5 Instant is paid API only.
- •Llama 4 has a Up to 10M tokens (Scout); ~1M tokens (Maverick) context window vs 1050000 - better for whole-repo or long-document work.
Specs comparison
| GPT-5.5 Instant | Llama 4 | |
|---|---|---|
| Provider | OpenAI | Meta |
| Type | Closed source | Open source |
| Context window | 1050000 | ✓Up to 10M tokens (Scout); ~1M tokens (Maverick) |
| Input / 1M tokens | 5.00 | ✓Free (self-host) |
| Output / 1M tokens | 30.00 | Free (self-host) |
| Release date | 2026-05 | 2025-04 |
Benchmarks
| Benchmark | GPT-5.5 Instant | Llama 4 |
|---|---|---|
| AIME 2025 | 81.2 | - |
| Terminal-Bench 2.0 | 82.7 | - |
| FrontierMath Tier 1–3 | 51.7 | - |
| Scout context window | - | 10M tokens |
| Scout size | - | 17B active / 109B total (16 experts) |
| Maverick size | - | 17B active / 400B total (128 experts) |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose GPT-5.5 Instant if...
- →Interactive chat and everyday assistant tasks where responsiveness matters most
- →High-volume, latency-sensitive workloads that do not need deep reasoning
- →General questions, drafting, and summarization at speed
Choose Llama 4 if...
- →You need extremely long context in an open model (Scout's 10M window)
- →Self-hosted or on-prem multimodal deployment
- →You want an efficient MoE that activates few parameters per token
- →Fine-tuning or full control over the model