LLM Reference

GPT-4o Mini (07-18) vs Llama 4 Scout 17B-16E Instruct

GPT-4o Mini (07-18) (2024) and Llama 4 Scout 17B-16E Instruct (2025) are compact production models from OpenAI and AI at Meta. GPT-4o Mini (07-18) ships a 128k-token context window, while Llama 4 Scout 17B-16E Instruct ships a 10m-token context window. On pricing, Llama 4 Scout 17B-16E Instruct costs $0.08/1M input tokens versus $0.15/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Llama 4 Scout 17B-16E Instruct is ~87% cheaper at $0.08/1M; pay for GPT-4o Mini (07-18) only for coding workflow support.

Decision scorecard

Local evidence first
SignalGPT-4o Mini (07-18)Llama 4 Scout 17B-16E Instruct
Best formultimodal apps and provider-routed productionmultimodal apps, long-context analysis, and provider-routed production
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window128k10m
Cheapest output$0.60/1M tokens$0.30/1M tokens
Provider routes3 tracked12 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose GPT-4o Mini (07-18) when...
  • GPT-4o Mini (07-18) uniquely exposes Code execution in local model data.
  • Local decision data tags GPT-4o Mini (07-18) for Coding, RAG, and Agents.
Choose Llama 4 Scout 17B-16E Instruct when...
  • Llama 4 Scout 17B-16E Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Llama 4 Scout 17B-16E Instruct has the lower cheapest tracked output price at $0.30/1M tokens.
  • Llama 4 Scout 17B-16E Instruct has broader tracked provider coverage for fallback and route flexibility.
  • Llama 4 Scout 17B-16E Instruct uniquely exposes Multimodal in local model data.
  • Local decision data tags Llama 4 Scout 17B-16E Instruct for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Llama 4 Scout 17B-16E Instruct

GPT-4o Mini (07-18)

$270

Cheapest tracked route/tier: OpenAI API

Llama 4 Scout 17B-16E Instruct

$139

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $131. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-4o Mini (07-18) -> Llama 4 Scout 17B-16E Instruct
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Llama 4 Scout 17B-16E Instruct is $0.30/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Code execution before moving production traffic.
  • Llama 4 Scout 17B-16E Instruct adds Multimodal in local capability data.
Llama 4 Scout 17B-16E Instruct -> GPT-4o Mini (07-18)
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • GPT-4o Mini (07-18) is $0.30/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Multimodal before moving production traffic.
  • GPT-4o Mini (07-18) adds Code execution in local capability data.

Specs

Specification
Released2024-07-182025-04-05
Context window128k10m
Parameters—109B (17B active)
ArchitectureDecoder OnlyMixture of Experts
LicenseProprietaryLlama 4 Community
OpennessProprietaryOpen weights
WeightsNot releasedUnknown
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: conditional
Knowledge cutoff2023-102024-08

Pricing and availability

Pricing attributeGPT-4o Mini (07-18)Llama 4 Scout 17B-16E Instruct
Input price$0.15/1M tokens$0.08/1M tokens
Output price$0.60/1M tokens$0.30/1M tokens
Providers

Capabilities

CapabilityGPT-4o Mini (07-18)Llama 4 Scout 17B-16E Instruct
VisionYesYes
MultimodalNoYes
ReasoningNoNo
JSON / Tool useNoNo
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Continue comparing

Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.