DeepSeek-V3.2-Exp vs Llama 4 Scout

Comparison

As of August 20, 2026, Llama 4 Scout is 44% cheaper per million tokens than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $0.27 / $0.41 per million input/output tokens versus Llama 4 Scout at $0.08 / $0.30. Sources: https://api-docs.deepseek.com/quick_start/pricing and https://llama.meta.com/

Sources: DeepSeek API pricing (https://api-docs.deepseek.com/quick_start/pricing); Meta pricing (https://llama.meta.com/)

DeepSeek-V3.2-Exp

DeepSeek

$0.68blended / 1M

Input

$0.27

Output

$0.41

163.8K ctx|Open Source

44%

cheaper

Better value

Llama 4 Scout

DeepSeek-V3.2-Exp vs Llama 4 Scout comparison

Token pricing, specs, and benchmarks side by side

Metric

DeepSeek-V3.2-Exp

Llama 4 Scout

Provider

DeepSeek

DeepSeek-V3.2-Exp vs Llama 4 Scout: the bottom line

Llama 4 Scout offers significantly lower pricing, while DeepSeek-V3.2-Exp leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

View DeepSeek-V3.2-Exp details View Llama 4 Scout details

DeepSeek-V3.2-Exp vs Llama 4 Scout FAQ

Which is cheaper, DeepSeek-V3.2-Exp or Llama 4 Scout?

As of August 20, 2026, Llama 4 Scout is 44% 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). DeepSeek-V3.2-Exp costs $0.27 / $0.41 per million tokens ($0.68 blended). Sources: https://api-docs.deepseek.com/quick_start/pricing and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

How much does DeepSeek-V3.2-Exp vs Llama 4 Scout cost per million tokens?

DeepSeek-V3.2-Exp DeepSeek API pricing is $0.27 input and $0.41 output per million tokens via DeepSeek. Llama 4 Scout Meta API pricing is $0.08 input and $0.30 output per million tokens via Meta. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

Which is better for coding, DeepSeek-V3.2-Exp or Llama 4 Scout?

DeepSeek-V3.2-Exp has a published SWE-bench Verified score of 67.8%. Llama 4 Scout does not have that eval on this page yet.

What is the context window for DeepSeek-V3.2-Exp vs Llama 4 Scout?

DeepSeek-V3.2-Exp supports a 164K token context window, while Llama 4 Scout supports 10M 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, DeepSeek-V3.2-Exp or Llama 4 Scout?

DeepSeek-V3.2-Exp leads on 3 of 3 shared benchmarks versus Llama 4 Scout'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 DeepSeek-V3.2-Exp or Llama 4 Scout better for production use?

Both DeepSeek-V3.2-Exp and Llama 4 Scout 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 DeepSeek-V3.2-Exp and Llama 4 Scout in my app?

Yes. Call DeepSeek-V3.2-Exp through DeepSeek and Llama 4 Scout through Meta 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 DeepSeek-V3.2-Exp vs Llama 4 Scout pricing data?

List rates are the latest published DeepSeek API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://api-docs.deepseek.com/quick_start/pricing and https://llama.meta.com/. 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 DeepSeek-V3.2-Exp and Llama 4 Scout?

DeepSeek-V3.2-Exp supports up to 66K output tokens per request, while Llama 4 Scout supports up to 10M 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, DeepSeek-V3.2-Exp or Llama 4 Scout?

Llama 4 Scout has a measured throughput of approximately 76.1 tokens/second. Throughput data for DeepSeek-V3.2-Exp is not yet available. 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 DeepSeek-V3.2-Exp vs Llama 4 Scout comparison?

Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open DeepSeek-V3.2-Exp or Llama 4 Scout from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

DeepSeek-V3.2-Exp vs Llama 4 Scout pricing

This comparison covers API pricing, context window, throughput, and benchmark scores. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output. Llama 4 Scout costs $0.08/M input and $0.30/M output.

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