Llama 4 Maverick vs Pixtral-12B

Comparison

As of August 26, 2026, Pixtral-12B is 71% cheaper per million tokens than Llama 4 Maverick. Llama 4 Maverick is $0.17 / $0.85 per million input/output tokens versus Pixtral-12B at $0.15 / $0.15. Sources: https://llama.meta.com/ and https://docs.mistral.ai/platform/pricing/

Sources: Meta pricing (https://llama.meta.com/); Mistral AI pricing (https://docs.mistral.ai/platform/pricing/)

Llama 4 Maverick

Llama 4 Maverick vs Pixtral-12B comparison

Token pricing, specs, and benchmarks side by side

Shared benchmarks

Each bar is share of the current leader on that eval. Click a row to open the board.

Llama 4 MaverickPixtral-12B

Score vs price

MATH. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.

Best score at each priceLlama 4 MaverickPixtral-12B

Metric

Llama 4 Maverick

Pixtral-12B

Provider

Llama 4 Maverick vs Pixtral-12B: the bottom line

Pixtral-12B offers significantly lower pricing, while Llama 4 Maverick leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

View Llama 4 Maverick details View Pixtral-12B details

Llama 4 Maverick vs Pixtral-12B FAQ

Which is cheaper, Llama 4 Maverick or Pixtral-12B?

As of August 26, 2026, Pixtral-12B is 71% cheaper on blended LLM API pricing. Pixtral-12B 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 Pixtral-12B cost per million tokens?

Llama 4 Maverick Meta API pricing is $0.17 input and $0.85 output per million tokens via Meta. Pixtral-12B 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 Pixtral-12B?

Llama 4 Maverick has a published LiveCodeBench score of 43.4%. Pixtral-12B does not have that eval on this page yet.

What is the context window for Llama 4 Maverick vs Pixtral-12B?

Llama 4 Maverick supports a 1M token context window, while Pixtral-12B supports 128K 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 Pixtral-12B?

Llama 4 Maverick leads on 6 of 6 shared benchmarks versus Pixtral-12B's 0 wins. 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 Pixtral-12B better for production use?

Both Llama 4 Maverick and Pixtral-12B are production API models. For cost-sensitive production traffic, Pixtral-12B 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 Pixtral-12B in my app?

Yes. Call Llama 4 Maverick through Meta and Pixtral-12B 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 Pixtral-12B 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 Pixtral-12B?

Llama 4 Maverick supports up to 1M output tokens per request, while Pixtral-12B supports up to 8K 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 Pixtral-12B?

Llama 4 Maverick runs at approximately 69.4 tokens/second while Pixtral-12B runs at 0.1 tokens/second. Llama 4 Maverick 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 Pixtral-12B 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 Pixtral-12B from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

Llama 4 Maverick vs Pixtral-12B pricing

This comparison covers API pricing, context window, throughput, and benchmark scores. Llama 4 Maverick costs $0.17/M input and $0.85/M output. Pixtral-12B costs $0.15/M input and $0.15/M output via Mistral AI.

Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.