Which is cheaper, Llama 4 Maverick or Ministral 3 (8B Reasoning 2512)?
As of August 25, 2026, Ministral 3 (8B Reasoning 2512) is 71% cheaper on blended LLM API pricing. Ministral 3 (8B Reasoning 2512) costs $0.15 per million input tokens and $0.15 per million output tokens ($0.30 blended 1M-in + 1M-out). Llama 4 Maverick costs $0.17 / $0.85 per million tokens ($1.02 blended). Sources: https://llama.meta.com/ and https://docs.mistral.ai/platform/pricing/. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Llama 4 Maverick vs Ministral 3 (8B Reasoning 2512) cost per million tokens?
Llama 4 Maverick Meta API pricing is $0.17 input and $0.85 output per million tokens via Meta. Ministral 3 (8B Reasoning 2512) Mistral API pricing is $0.15 input and $0.15 output per million tokens via Mistral AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Llama 4 Maverick or Ministral 3 (8B Reasoning 2512)?
Ministral 3 (8B Reasoning 2512) leads on LiveCodeBench: Llama 4 Maverick at 43.4% vs Ministral 3 (8B Reasoning 2512) at 61.6%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.
What is the context window for Llama 4 Maverick vs Ministral 3 (8B Reasoning 2512)?
Llama 4 Maverick supports a 1M token context window, while Ministral 3 (8B Reasoning 2512) supports 262K tokens. Llama 4 Maverick offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, Llama 4 Maverick or Ministral 3 (8B Reasoning 2512)?
Llama 4 Maverick and Ministral 3 (8B Reasoning 2512) are tied across 2 shared benchmarks. Check the table for category-level strengths. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is Llama 4 Maverick or Ministral 3 (8B Reasoning 2512) better for production use?
Both Llama 4 Maverick and Ministral 3 (8B Reasoning 2512) are production API models. For cost-sensitive production traffic, Ministral 3 (8B Reasoning 2512) has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between Llama 4 Maverick and Ministral 3 (8B Reasoning 2512) in my app?
Yes. Call Llama 4 Maverick through Meta and Ministral 3 (8B Reasoning 2512) through Mistral AI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this Llama 4 Maverick vs Ministral 3 (8B Reasoning 2512) pricing data?
List rates are the latest published Meta API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://docs.mistral.ai/platform/pricing/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for Llama 4 Maverick and Ministral 3 (8B Reasoning 2512)?
Llama 4 Maverick supports up to 1M output tokens per request, while Ministral 3 (8B Reasoning 2512) supports up to 262K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, Llama 4 Maverick or Ministral 3 (8B Reasoning 2512)?
Llama 4 Maverick runs at approximately 69.4 tokens/second while Ministral 3 (8B Reasoning 2512) runs at 237.5 tokens/second. Ministral 3 (8B Reasoning 2512) is faster in raw throughput. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this Llama 4 Maverick vs Ministral 3 (8B Reasoning 2512) comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Llama 4 Maverick or Ministral 3 (8B Reasoning 2512) from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
