Llama 4 Scout 17B vs Mistral Large 3 675B Instruct
Llama 4 Scout 17B (2025) and Mistral Large 3 675B Instruct (2025) are compact production models from AI at Meta and MistralAI. Llama 4 Scout 17B ships a 10M-token context window, while Mistral Large 3 675B Instruct ships a 128K-token context window. On pricing, Llama 4 Scout 17B costs $0.17/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 4 Scout 17B is ~194% cheaper at $0.17/1M; pay for Mistral Large 3 675B Instruct only for provider fit.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2025-12-01 |
| Context window | 10M | 128K |
| Parameters | 17 | 675B |
| Architecture | - | decoder only |
| License | Open Source | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 4 Scout 17B | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.17/1M tokens | $0.5/1M tokens |
| Output price | $0.66/1M tokens | $1.5/1M tokens |
| Providers |
Capabilities
| Capability | Llama 4 Scout 17B | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on multimodal input: Llama 4 Scout 17B. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Llama 4 Scout 17B lists $0.17/1M input and $0.66/1M output tokens, while Mistral Large 3 675B Instruct lists $0.5/1M input and $1.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Scout 17B lower by about $0.48 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose Llama 4 Scout 17B when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Mistral Large 3 675B Instruct when provider fit and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Llama 4 Scout 17B or Mistral Large 3 675B Instruct?
Llama 4 Scout 17B supports 10M tokens, while Mistral Large 3 675B Instruct supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Llama 4 Scout 17B or Mistral Large 3 675B Instruct?
Llama 4 Scout 17B is cheaper on tracked token pricing. Llama 4 Scout 17B costs $0.17/1M input and $0.66/1M output tokens. Mistral Large 3 675B Instruct costs $0.5/1M input and $1.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 4 Scout 17B or Mistral Large 3 675B Instruct open source?
Llama 4 Scout 17B is listed under Open Source. Mistral Large 3 675B Instruct is listed under 1. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for multimodal input, Llama 4 Scout 17B or Mistral Large 3 675B Instruct?
Llama 4 Scout 17B has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, Llama 4 Scout 17B or Mistral Large 3 675B Instruct?
Both Llama 4 Scout 17B and Mistral Large 3 675B Instruct expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Llama 4 Scout 17B and Mistral Large 3 675B Instruct?
Llama 4 Scout 17B is available on AWS Bedrock. Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.