Llama 4 Scout vs Qwen2.5 7B Instruct

Comparison

As of August 25, 2026, Llama 4 Scout is 37% cheaper per million tokens than Qwen2.5 7B Instruct. Llama 4 Scout is $0.08 / $0.30 per million input/output tokens versus Qwen2.5 7B Instruct at $0.30 / $0.30. Sources: https://llama.meta.com/ and https://bailian.console.aliyun.com/

Sources: Meta pricing (https://llama.meta.com/); Qwen pricing (https://bailian.console.aliyun.com/)

Better value

Llama 4 Scout

Llama 4 Scout vs Qwen2.5 7B 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 ScoutQwen2.5 7B Instruct

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 ScoutQwen2.5 7B Instruct

Metric

Llama 4 Scout

Qwen2.5 7B Instruct

Provider

Llama 4 Scout vs Qwen2.5 7B Instruct: 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 Qwen2.5 7B Instruct details

Llama 4 Scout vs Qwen2.5 7B Instruct FAQ

Which is cheaper, Llama 4 Scout or Qwen2.5 7B Instruct?

As of August 25, 2026, Llama 4 Scout is 37% 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). Qwen2.5 7B Instruct costs $0.30 / $0.30 per million tokens ($0.60 blended). Sources: https://llama.meta.com/ and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

How much does Llama 4 Scout vs Qwen2.5 7B Instruct cost per million tokens?

Llama 4 Scout Meta API pricing is $0.08 input and $0.30 output per million tokens via Meta. Qwen2.5 7B Instruct Qwen API pricing is $0.30 input and $0.30 output per million tokens via Qwen. 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 Qwen2.5 7B Instruct?

Llama 4 Scout leads on LiveCodeBench: Llama 4 Scout at 32.8% vs Qwen2.5 7B Instruct at 28.7%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.

What is the context window for Llama 4 Scout vs Qwen2.5 7B Instruct?

Llama 4 Scout supports a 10M token context window, while Qwen2.5 7B Instruct supports 131K 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 Qwen2.5 7B Instruct?

Llama 4 Scout leads on 4 of 6 shared benchmarks versus Qwen2.5 7B Instruct's 2 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 Qwen2.5 7B Instruct better for production use?

Both Llama 4 Scout and Qwen2.5 7B 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 Qwen2.5 7B Instruct in my app?

Yes. Call Llama 4 Scout through Meta and Qwen2.5 7B Instruct through Qwen 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 Qwen2.5 7B Instruct pricing data?

List rates are the latest published Meta API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://bailian.console.aliyun.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 Llama 4 Scout and Qwen2.5 7B Instruct?

Llama 4 Scout supports up to 10M output tokens per request, while Qwen2.5 7B Instruct 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 Scout or Qwen2.5 7B Instruct?

Llama 4 Scout runs at approximately 76.1 tokens/second while Qwen2.5 7B Instruct runs at 138 tokens/second. Qwen2.5 7B Instruct 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 Qwen2.5 7B 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 Qwen2.5 7B 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 Qwen2.5 7B 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. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output.

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