Llama 3.3 70B vs Mistral Large 2512: API Price & Benchmark Comparison (INR)
Side-by-side pricing
| Llama 3.3 70B | Mistral Large 2512 | |
|---|---|---|
| Input price / 1M tokens | ₹13.41 | ₹51.58 |
| Output price / 1M tokens | ₹41.27 | ₹154.75 |
| Context window | 131,072 | 262,144 |
| Provider | Meta | Mistral |
Velona effective INR prices, refreshed every 6 hours (last: 2026-07-28T17:32:59Z).
When to pick which
Llama 3.3 70B is roughly 5x cheaper ($0.10/$0.32 vs $0.50/$1.50 per million), while Mistral Large 2512 is the stronger, newer model with double the context window (262K vs 131K), better multilingual coverage, and more reliable function calling. If your workload is straightforward chat or summarisation where a good 70B suffices, Llama's price is hard to argue with. If you need European-language quality, longer documents, or tool-use reliability in an agent loop, Mistral Large earns its premium. Both are open-weight, so either can later move on-premises without a rewrite.
Benchmarks
Llama 3.3 70B
No benchmark data.
Mistral Large 2512
Benchmarks
Independent scores from Artificial Analysis.
Cost calculator for both models
Frequently asked questions
Which is cheaper: Llama 3.3 70B or Mistral Large 2512?
On input tokens, Llama 3.3 70B costs ₹13.41/1M and Mistral Large 2512 costs ₹51.58/1M through Velona. Output tokens: ₹41.27 vs ₹154.75 per 1M.
Can I switch between Llama 3.3 70B and Mistral Large 2512 without changing code?
Yes. Both are behind Velona's single gateway API. Change the model id in your request body and everything else stays the same, including your INR wallet.
Are these prices current?
Prices are regenerated every 6 hours from live provider pricing and the current USD→INR rate, so the figures on this page track what you'd actually be billed.
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