Llama 3.3 70B Instruct (Meta) and Llama 4 Maverick (Meta) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 7 November 2026
As of 7 November 2026, Llama 4 Maverick holds the stronger ModelCap Index position (#223 vs #234); Llama 3.3 70B Instruct is 1.3× cheaper per output token ($0.79/1M vs $1.00/1M); and Llama 4 Maverick offers the longer context window (524K vs 131K tokens).
Evidence: 2 public benchmark observations across 2 boards · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: Llama 3.3 70B Instruct vs Llama 4 Maverick
Public benchmark boards where Llama 3.3 70B Instruct or Llama 4 Maverick has a published result
Llama 3.3 70B Instruct vs Llama 4 Maverick: common questions
Is Llama 3.3 70B Instruct better than Llama 4 Maverick?
Llama 4 Maverick ranks higher on the ModelCap Index as of 7 November 2026: #223 against #234. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Is Llama 3.3 70B Instruct cheaper than Llama 4 Maverick?
Llama 3.3 70B Instruct is cheaper on output tokens: $0.79/1M against $1.00/1M. Input tokens are $0.59/1M for Llama 3.3 70B Instruct and $0.35/1M for Llama 4 Maverick. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.57 for Llama 3.3 70B Instruct versus $1.20 for Llama 4 Maverick. Llama 4 Maverick costs 23.8% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Which has the bigger context window, Llama 3.3 70B Instruct or Llama 4 Maverick?
Llama 4 Maverick has the larger context window: 524K tokens against 131K. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified.
Which is better for coding, Llama 3.3 70B Instruct or Llama 4 Maverick?
Are Llama 3.3 70B Instruct and Llama 4 Maverick open-weight models?
Llama 3.3 70B Instruct: Gated access. Llama 4 Maverick: Gated access. Open weights mean the checkpoint can be downloaded and self-hosted under its licence. A missing weight link does not identify every API or chat product that offers a model.
Where can I run Llama 3.3 70B Instruct and Llama 4 Maverick?
ModelCap currently lists 8 API providers for Llama 3.3 70B Instruct and 3 for Llama 4 Maverick, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this Llama 3.3 70B Instruct vs Llama 4 Maverick comparison?
Every figure and ModelCap Index position comes from the same published snapshot dated 7 November 2026. Publication and page updates happen separately; use the snapshot date shown on the page.