Llama 4 Scout vs Pixtral Large

Comparison

As of August 22, 2026, Llama 4 Scout is 95% cheaper per million tokens than Pixtral Large. Llama 4 Scout is $0.08 / $0.30 per million input/output tokens versus Pixtral Large at $2.00 / $6.00. 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/)

Better value

Llama 4 Scout

Llama 4 Scout vs Pixtral Large comparison

Token pricing, specs, and benchmarks side by side

Metric

Llama 4 Scout

Pixtral Large

Provider

Llama 4 Scout vs Pixtral Large: the bottom line

Llama 4 Scout offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

View Llama 4 Scout details View Pixtral Large details

Llama 4 Scout vs Pixtral Large FAQ

Which is cheaper, Llama 4 Scout or Pixtral Large?

As of August 22, 2026, Llama 4 Scout is 95% cheaper on blended LLM API pricing. Llama 4 Scout costs $0.08 per million input tokens and $0.30 per million output tokens ($0.38 blended 1M-in + 1M-out). Pixtral Large costs $2.00 / $6.00 per million tokens ($8.00 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 Scout vs Pixtral Large cost per million tokens?

Llama 4 Scout Meta API pricing is $0.08 input and $0.30 output per million tokens via Meta. Pixtral Large Mistral API pricing is $2.00 input and $6.00 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 Scout or Pixtral Large?

Llama 4 Scout has a published LiveCodeBench score of 32.8%. Pixtral Large does not have that eval on this page yet.

What is the context window for Llama 4 Scout vs Pixtral Large?

Llama 4 Scout supports a 10M token context window, while Pixtral Large supports 128K tokens. Llama 4 Scout 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 Scout or Pixtral Large?

Llama 4 Scout leads on 4 of 4 shared benchmarks versus Pixtral Large'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 Scout or Pixtral Large better for production use?

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

Yes. Call Llama 4 Scout through Meta and Pixtral Large 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 Scout vs Pixtral Large 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 Scout and Pixtral Large?

Llama 4 Scout supports up to 10M output tokens per request, while Pixtral Large supports up to 128K 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 Scout or Pixtral Large?

Llama 4 Scout runs at approximately 76.1 tokens/second while Pixtral Large runs at 0.1 tokens/second. Llama 4 Scout 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 Scout vs Pixtral Large 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 Scout or Pixtral Large 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 Scout vs Pixtral Large pricing

This comparison covers API pricing, context window, throughput, and benchmark scores. Llama 4 Scout costs $0.08/M input and $0.30/M output. Pixtral Large costs $2.00/M input and $6.00/M output via Mistral AI.

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