GPT-5.6 Sol vs Llama 4 Maverick
OpenAI vs Meta · Prices checked 12 August 2026
On blended cost Llama 4 Maverick undercuts GPT-5.6 Sol by about 39.1×: $0.320 per million tokens versus $12.50. A single 100K-input, 10K-output job costs $0.026 on Llama 4 Maverick against $0.800 on GPT-5.6 Sol.
Of the 2 shared benchmarks, GPT-5.6 Sol takes 2. The widest gap is on LMArena Elo, where GPT-5.6 Sol leads by 171 points. On context, GPT-5.6 Sol is the larger at 1,050,000 tokens versus 128,000.
Pricing and capacity
| Metric | GPT-5.6 Sol | 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
| Benchmark | GPT-5.6 Sol | Llama 4 Maverick | Leader |
|---|---|---|---|
| GPQA Diamond | 94.6% | 67% | GPT-5.6 Sol |
| LMArena Elo | 1481 Elo | 1310 Elo | GPT-5.6 Sol |
Only suites both models report are listed, so a missing score is never shown as a loss. Figures are provider-published or from public leaderboards and are not independently re-run.
What each model is for
GPT-5.6 Sol
OpenAI · Frontier
The flagship tier of the GPT-5.6 family, aimed at complex reasoning, long-horizon agentic work, coding, biology and cybersecurity. In OpenAI's naming the number is the generation and Sol is a durable capability tier, so Sol advances on its own cadence rather than being replaced by the next decimal. Standard short-context pricing is $5/$30 per MTok with cached input at $0.50; requests above 272K tokens are billed at the long-context rate of $10/$45.
- Frontier reasoning
- Long-horizon agentic execution
- Coding and code review
- Programmatic tool calling in the Responses API
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-5.6 Sol or Llama 4 Maverick?
On blended cost Llama 4 Maverick undercuts GPT-5.6 Sol by about 39.1×: $0.320 per million tokens versus $12.50. A single 100K-input, 10K-output job costs $0.026 on Llama 4 Maverick against $0.800 on GPT-5.6 Sol. 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 performs better, GPT-5.6 Sol or Llama 4 Maverick?
Of the 2 shared benchmarks, GPT-5.6 Sol takes 2. The widest gap is on LMArena Elo, where GPT-5.6 Sol leads by 171 points. These are the figures each provider or public leaderboard publishes, not results we re-run, and a benchmark average can hide the specific behaviour your workload depends on.
Which has the larger context window, GPT-5.6 Sol or Llama 4 Maverick?
On context, GPT-5.6 Sol is the larger at 1,050,000 tokens versus 128,000. 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-5.6 Sol 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.