Devstral Small 1.1 vs Llama 4 Scout

Comparison

As of August 23, 2026, Llama 4 Scout is 5% cheaper per million tokens than Devstral Small 1.1. Devstral Small 1.1 is $0.10 / $0.30 per million input/output tokens versus Llama 4 Scout at $0.08 / $0.30. Sources: https://docs.mistral.ai/platform/pricing/ and https://llama.meta.com/

Sources: Mistral AI pricing (https://docs.mistral.ai/platform/pricing/); Meta pricing (https://llama.meta.com/)

Devstral Small 1.1

Mistral

$0.40blended / 1M

Input

$0.10

Output

$0.30

128K ctx|Open Source

cheaper

Better value

Llama 4 Scout

Devstral Small 1.1 vs Llama 4 Scout comparison

Token pricing, specs, and benchmarks side by side

Metric

Devstral Small 1.1

Llama 4 Scout

Provider

Mistral

Devstral Small 1.1 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 Devstral Small 1.1's specific capabilities are critical to your workflow.

View Devstral Small 1.1 details View Llama 4 Scout details

Devstral Small 1.1 vs Llama 4 Scout FAQ

Which is cheaper, Devstral Small 1.1 or Llama 4 Scout?

As of August 23, 2026, Llama 4 Scout is 5% 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). Devstral Small 1.1 costs $0.10 / $0.30 per million tokens ($0.40 blended). Sources: https://docs.mistral.ai/platform/pricing/ and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

How much does Devstral Small 1.1 vs Llama 4 Scout cost per million tokens?

Devstral Small 1.1 Mistral API pricing is $0.10 input and $0.30 output per million tokens via Mistral AI. 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, Devstral Small 1.1 or Llama 4 Scout?

Devstral Small 1.1 has a published SWE-bench Verified score of 53.6%. Llama 4 Scout does not have that eval on this page yet.

What is the context window for Devstral Small 1.1 vs Llama 4 Scout?

Devstral Small 1.1 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, Devstral Small 1.1 or Llama 4 Scout?

Shared benchmark scores for Devstral Small 1.1 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 Devstral Small 1.1 or Llama 4 Scout better for production use?

Both Devstral Small 1.1 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 Devstral Small 1.1 and Llama 4 Scout in my app?

Yes. Call Devstral Small 1.1 through Mistral AI 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 Devstral Small 1.1 vs Llama 4 Scout pricing data?

List rates are the latest published Mistral API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://docs.mistral.ai/platform/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 Devstral Small 1.1 and Llama 4 Scout?

Devstral Small 1.1 supports up to 128K 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, Devstral Small 1.1 or Llama 4 Scout?

Devstral Small 1.1 runs at approximately 137.1 tokens/second while Llama 4 Scout runs at 76.1 tokens/second. Devstral Small 1.1 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 Devstral Small 1.1 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 Devstral Small 1.1 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.

Devstral Small 1.1 vs Llama 4 Scout pricing

This comparison covers API pricing, context window, throughput, and benchmark scores. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via Mistral AI. 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.