Llama 4 Maverick vs Llama 3.3 70B
Meta vs Meta · Prices checked 12 August 2026
The two are closer than they look: Llama 3.3 70B at $0.281 per million tokens blended, Llama 4 Maverick at $0.320, a 12 per cent difference. A single 100K-input, 10K-output job costs $0.027 on Llama 3.3 70B against $0.026 on Llama 4 Maverick.
Of the 5 shared benchmarks, Llama 4 Maverick takes 4. The widest gap is on LMArena Elo, where Llama 4 Maverick leads by 53 points. Context is level at 128,000 tokens on each side.
Pricing and capacity
| Metric | Llama 4 Maverick | Llama 3.3 70B | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.200 | $0.230 | 13% |
| Output / 1M tokens | $0.600 | $0.400 | 33% |
| Blended · 70/30calculated | $0.320 | $0.281 | 12% |
| Blended · 50/50calculated | $0.400 | $0.315 | 21% |
| Blended · 80/20calculated | $0.280 | $0.264 | 6% |
| Blended · 20/80calculated | $0.520 | $0.366 | 30% |
| Job cost · 100K + 10Kcalculated | $0.026 | $0.027 | 4% |
| Job cost · 1M + 100Kcalculated | $0.260 | $0.270 | 4% |
| Context window | 128,000 | 128,000 | level |
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 | Llama 4 Maverick | Llama 3.3 70B | Leader |
|---|---|---|---|
| MMLU | 85% | 86% | Llama 3.3 70B |
| GPQA Diamond | 67% | 50% | Llama 4 Maverick |
| MATH | 84% | 77% | Llama 4 Maverick |
| HumanEval | 88% | 80% | Llama 4 Maverick |
| LMArena Elo | 1310 Elo | 1257 Elo | Llama 4 Maverick |
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
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
Llama 3.3 70B
Meta · Open
The most-deployed open-weights chat model in 2025, strong reasoning at 70B with broad inference-provider support.
- Strong open chat baseline
- Cheap on Groq/Cerebras
- 128K context
- Wide ecosystem
Frequently asked questions
Which is cheaper, Llama 4 Maverick or Llama 3.3 70B?
The two are closer than they look: Llama 3.3 70B at $0.281 per million tokens blended, Llama 4 Maverick at $0.320, a 12 per cent difference. A single 100K-input, 10K-output job costs $0.027 on Llama 3.3 70B against $0.026 on Llama 4 Maverick. 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, Llama 4 Maverick or Llama 3.3 70B?
Of the 5 shared benchmarks, Llama 4 Maverick takes 4. The widest gap is on LMArena Elo, where Llama 4 Maverick leads by 53 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, Llama 4 Maverick or Llama 3.3 70B?
Context is level at 128,000 tokens on each side. 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 Llama 4 Maverick and Llama 3.3 70B 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.