GPT-5.5 vs Llama 4 Maverick
OpenAI vs Meta · Prices checked 12 August 2026
Llama 4 Maverick is the cheaper of the two by a wide margin: $0.320 per million tokens blended against $12.50, roughly 39.1× less. A single 100K-input, 10K-output job costs $0.026 on Llama 4 Maverick against $0.800 on GPT-5.5.
GPT-5.5 takes a 1,050,000-token context window against 128,000, giving 8.2× more room for long documents or whole-codebase work.
Pricing and capacity
| Metric | GPT-5.5 | Llama 4 Maverick | Difference |
|---|---|---|---|
| Input / 1M tokens | $5.00 | $0.200 | 25.0× |
| Output / 1M tokens | $30.00 | $0.600 | 50.0× |
| Blended · 70/30calculated | $12.50 | $0.320 | 39.1× |
| Blended · 50/50calculated | $17.50 | $0.400 | 43.8× |
| Blended · 80/20calculated | $10.00 | $0.280 | 35.7× |
| Blended · 20/80calculated | $25.00 | $0.520 | 48.1× |
| Job cost · 100K + 10Kcalculated | $0.800 | $0.026 | 30.8× |
| Job cost · 1M + 100Kcalculated | $8.00 | $0.260 | 30.8× |
| Context window | 1,050,000 | 128,000 | 8.2× |
Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.
Benchmarks
These two models do not currently report scores on any of the same benchmark suites, so there is no like-for-like capability comparison to show. Rather than pad the page with one-sided numbers, the benchmark leaderboards list every score we do hold.
What each model is for
GPT-5.5
OpenAI · Frontier
Released April 2026 and positioned by OpenAI as smarter and faster for complex coding, research and data-analysis work. It shipped alongside Thinking and Pro variants, neither available on the free tier, and has a published system card.
- Complex coding and data analysis
- 1M-token context
- Thinking and Pro variants for harder work
- Published system card
Llama 4 Maverick
Meta · Frontier
The flagship Llama 4, an MoE-architecture model designed for cheap, high-throughput inference across the open-weights ecosystem.
- MoE for cheap inference
- Open weights
- Wide hosted availability
- Multimodal
Frequently asked questions
Which is cheaper, GPT-5.5 or Llama 4 Maverick?
Llama 4 Maverick is the cheaper of the two by a wide margin: $0.320 per million tokens blended against $12.50, roughly 39.1× less. A single 100K-input, 10K-output job costs $0.026 on Llama 4 Maverick against $0.800 on GPT-5.5. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.
Which has the larger context window, GPT-5.5 or Llama 4 Maverick?
GPT-5.5 takes a 1,050,000-token context window against 128,000, giving 8.2× more room for long documents or whole-codebase work. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.
Can I compare GPT-5.5 and Llama 4 Maverick on my own numbers?
Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.
Price it for your own workload
Related matchups
Terms used on this page
Prices and scores are recomputed on every deploy from the catalogue. Prices checked 12 August 2026.