ModelRefs / Llama 4 Scout vs Mistral Small 3.1
Llama 4 Scout vs Mistral Small 3.1
Llama 4 Scout vs Mistral Small 3.1: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
Llama 4 Scout: Llama 4 Scout is Meta's efficiency-focused open-weights model with an exceptionally large 10M-token context window and vision support. It is optimized for long-document retrieval and low-cost inference at scale.
Mistral Small 3.1: Mistral Small 3.1 is Mistral AI's 24-billion-parameter multimodal model, accepting text and image input across a context window of up to 128,000 tokens and published under Apache 2.0. Mistral reports inference speeds of 150 tokens per second and compares it with Gemma 3 and GPT-4o Mini in the same weight class. Its size and licence make it one of the larger models that remains practical to self-host on a single machine.
Context window: Llama 4 Scout accepts up to 10,000,000 tokens, Mistral Small 3.1 up to 128,000. Confirm the limit for your specific deployment channel before relying on it.
Llama 4 Scout vs Mistral Small 3.1 at a glance
| Attribute | Llama 4 Scout | Mistral Small 3.1 |
|---|---|---|
| Provider | Meta | Mistral AI |
| Released | 2025-04-01 | 2025-03-17 |
| Context window | 10,000,000 tokens | 128,000 tokens |
| Input price | $0.11/M tokens | $0.1/M tokens |
| Output price | $0.34/M tokens | $0.3/M tokens |
| Licence | Llama-4-Community | Apache-2.0 |
| Self-hostable | Yes, open weights | Yes, open weights |
| Modalities | text, vision | text, vision |
Reported on different variants
Both models are measured on these benchmarks, but not on the same variant of them, so the two numbers are not a like-for-like comparison. Each side is shown with the variant it was measured on.
| Benchmark | Llama 4 Scout | Mistral Small 3.1 | Reported |
|---|---|---|---|
| MMLU-Pro | 74.3 (macro-average accuracy) | 66.76 (accuracy) | 2025-04-01 |
A different task set or a different reported metric can move a score by more than the gap between two models. Use these as two separate findings, not as a ranking.
Where they differ most
- Reasoning: Llama 4 Scout 62%, Mistral Small 3.1 63%. Mistral Small 3.1 leads on this dimension.
- Cost Efficiency: Llama 4 Scout 94%, Mistral Small 3.1 95%. Mistral Small 3.1 leads on this dimension.
Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Llama 4 Scout vs Mistral Small 3.1.
Frequently asked questions
Which is better, Llama 4 Scout or Mistral Small 3.1?
Llama 4 Scout and Mistral Small 3.1 target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is Llama 4 Scout cheaper than Mistral Small 3.1?
Compare $0.00011 vs $0.00010 on this page.