GPT-5.3 Chat vs Llama 4 Scout

Comparison

As of August 25, 2026, Llama 4 Scout is 98% cheaper per million tokens than GPT-5.3 Chat. GPT-5.3 Chat is $1.75 / $14.00 per million input/output tokens versus Llama 4 Scout at $0.08 / $0.30. Sources: https://developers.openai.com/api/docs/pricing and https://llama.meta.com/

Sources: OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Meta pricing (https://llama.meta.com/)

GPT-5.3 Chat

OpenAI

$15.75blended / 1M

Input

$1.75

Output

$14.00

128K ctx|Proprietary

98%

cheaper

Better value

Llama 4 Scout

GPT-5.3 Chat vs Llama 4 Scout comparison

Token pricing, specs, and benchmarks side by side

Metric

GPT-5.3 Chat

Llama 4 Scout

Provider

OpenAI

GPT-5.3 Chat vs Llama 4 Scout: the bottom line

Both models are closely matched on benchmarks. Llama 4 Scout has the pricing advantage, making it the better value unless GPT-5.3 Chat's specific capabilities are critical to your workflow.

View GPT-5.3 Chat details View Llama 4 Scout details

GPT-5.3 Chat vs Llama 4 Scout FAQ

Which is cheaper, GPT-5.3 Chat or Llama 4 Scout?

As of August 25, 2026, Llama 4 Scout is 98% 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). GPT-5.3 Chat costs $1.75 / $14.00 per million tokens ($15.75 blended). Sources: https://developers.openai.com/api/docs/pricing and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

How much does GPT-5.3 Chat vs Llama 4 Scout cost per million tokens?

GPT-5.3 Chat OpenAI API pricing is $1.75 input and $14.00 output per million tokens via OpenAI. 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, GPT-5.3 Chat or Llama 4 Scout?

Llama 4 Scout has a published LiveCodeBench score of 32.8%. GPT-5.3 Chat does not have that eval on this page yet.

What is the context window for GPT-5.3 Chat vs Llama 4 Scout?

GPT-5.3 Chat supports a 128K 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, GPT-5.3 Chat or Llama 4 Scout?

Shared benchmark scores for GPT-5.3 Chat and Llama 4 Scout are still limited. Check the comparison table for the evals each model has published. 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 GPT-5.3 Chat or Llama 4 Scout better for production use?

Both GPT-5.3 Chat 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 GPT-5.3 Chat and Llama 4 Scout in my app?

Yes. Call GPT-5.3 Chat through OpenAI 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 GPT-5.3 Chat vs Llama 4 Scout pricing data?

List rates are the latest published OpenAI API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://developers.openai.com/api/docs/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 GPT-5.3 Chat and Llama 4 Scout?

GPT-5.3 Chat supports up to 16K 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, GPT-5.3 Chat or Llama 4 Scout?

GPT-5.3 Chat runs at approximately 100 tokens/second while Llama 4 Scout runs at 76.1 tokens/second. GPT-5.3 Chat 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 GPT-5.3 Chat 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 GPT-5.3 Chat 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.

GPT-5.3 Chat vs Llama 4 Scout pricing

This comparison covers API pricing, context window, throughput, and benchmark scores. GPT-5.3 Chat costs $1.75/M input and $14.00/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.