Llama 4 Scout vs Qwen3 VL 32B Instruct

Comparison

As of August 25, 2026, Llama 4 Scout is 27% cheaper per million tokens than Qwen3 VL 32B Instruct. Llama 4 Scout is $0.08 / $0.30 per million input/output tokens versus Qwen3 VL 32B Instruct at $0.10 / $0.42. Sources: https://llama.meta.com/ and https://openrouter.ai/api/v1/models

Sources: Meta pricing (https://llama.meta.com/); OpenRouter pricing (https://openrouter.ai/api/v1/models)

Better value

Llama 4 Scout

Llama 4 Scout vs Qwen3 VL 32B Instruct 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 ScoutQwen3 VL 32B Instruct

Score vs price

GPQA. 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 ScoutQwen3 VL 32B Instruct

Metric

Llama 4 Scout

Qwen3 VL 32B Instruct

Provider

Llama 4 Scout vs Qwen3 VL 32B Instruct: the bottom line

Llama 4 Scout offers significantly lower pricing, while Qwen3 VL 32B Instruct leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

View Llama 4 Scout details View Qwen3 VL 32B Instruct details

Llama 4 Scout vs Qwen3 VL 32B Instruct FAQ

Which is cheaper, Llama 4 Scout or Qwen3 VL 32B Instruct?

As of August 25, 2026, Llama 4 Scout is 27% 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). Qwen3 VL 32B Instruct costs $0.10 / $0.42 per million tokens ($0.52 blended). Sources: https://llama.meta.com/ and https://openrouter.ai/api/v1/models. The cheapest LLM for your app still depends on how many output tokens you generate.

How much does Llama 4 Scout vs Qwen3 VL 32B Instruct cost per million tokens?

Llama 4 Scout Meta API pricing is $0.08 input and $0.30 output per million tokens via Meta. Qwen3 VL 32B Instruct OpenRouter API pricing is $0.10 input and $0.42 output per million tokens via OpenRouter. 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 Qwen3 VL 32B Instruct?

Llama 4 Scout has a published LiveCodeBench score of 32.8%. Qwen3 VL 32B Instruct does not have that eval on this page yet.

What is the context window for Llama 4 Scout vs Qwen3 VL 32B Instruct?

Llama 4 Scout supports a 10M token context window, while Qwen3 VL 32B Instruct supports 262K 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 Qwen3 VL 32B Instruct?

Qwen3 VL 32B Instruct 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 Llama 4 Scout or Qwen3 VL 32B Instruct better for production use?

Both Llama 4 Scout and Qwen3 VL 32B Instruct 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 Qwen3 VL 32B Instruct in my app?

Yes. Call Llama 4 Scout through Meta and Qwen3 VL 32B Instruct through OpenRouter 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 Qwen3 VL 32B Instruct pricing data?

List rates are the latest published Meta API pricing and OpenRouter API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://openrouter.ai/api/v1/models. 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 Qwen3 VL 32B Instruct?

Llama 4 Scout supports up to 10M output tokens per request, while Qwen3 VL 32B Instruct supports up to an unspecified number of 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 Qwen3 VL 32B Instruct?

Llama 4 Scout has a measured throughput of approximately 76.1 tokens/second. Throughput data for Qwen3 VL 32B Instruct 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 Llama 4 Scout vs Qwen3 VL 32B Instruct 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 Qwen3 VL 32B Instruct 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 Qwen3 VL 32B Instruct 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. Qwen3 VL 32B Instruct costs $0.10/M input and $0.42/M output via OpenRouter.

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