LLM Reference

GPT-4 Turbo Preview vs Llama 3 Taiwan 70B Instruct

GPT-4 Turbo Preview (2023) and Llama 3 Taiwan 70B Instruct (2024) are compact production models from OpenAI and AI at Meta. GPT-4 Turbo Preview ships a 128k-token context window, while Llama 3 Taiwan 70B Instruct ships a 8k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

GPT-4 Turbo Preview fits 16x more tokens; pick it for long-context work and Llama 3 Taiwan 70B Instruct for tighter calls.

Decision scorecard

Local evidence first
SignalGPT-4 Turbo PreviewLlama 3 Taiwan 70B Instruct
Best formultimodal apps and provider-routed productiongeneral production evaluation
Decision fitCoding, RAG, and AgentsGeneral
Context window128k8k
Cheapest output$30/1M tokens-
Provider routes3 tracked1 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose GPT-4 Turbo Preview when...
  • GPT-4 Turbo Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-4 Turbo Preview has broader tracked provider coverage for fallback and route flexibility.
  • GPT-4 Turbo Preview uniquely exposes Vision, Structured outputs, and Code execution in local model data.
  • Local decision data tags GPT-4 Turbo Preview for Coding, RAG, and Agents.
Choose Llama 3 Taiwan 70B Instruct when...
  • Use Llama 3 Taiwan 70B Instruct when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.

Monthly cost at traffic

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

GPT-4 Turbo Preview

$15,500

Cheapest tracked route/tier: OpenAI API

Llama 3 Taiwan 70B Instruct

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

GPT-4 Turbo Preview -> Llama 3 Taiwan 70B Instruct
  • No overlapping tracked provider route is sourced for GPT-4 Turbo Preview and Llama 3 Taiwan 70B Instruct; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Structured outputs, and Code execution before moving production traffic.
Llama 3 Taiwan 70B Instruct -> GPT-4 Turbo Preview
  • No overlapping tracked provider route is sourced for Llama 3 Taiwan 70B Instruct and GPT-4 Turbo Preview; plan for SDK, billing, or endpoint changes.
  • GPT-4 Turbo Preview adds Vision, Structured outputs, and Code execution in local capability data.

Specs

Specification
Released2023-11-062024-07-01
Context window128k8k
Parameters1.76T (8x222B MoE)*70B
ArchitectureMixture of ExpertsDecoder Only
LicenseProprietaryLlama 3 Community
OpennessProprietaryOpen weights
WeightsNot releasedUnknown
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: conditional
Knowledge cutoff2023-122023-12

Pricing and availability

Pricing attributeGPT-4 Turbo PreviewLlama 3 Taiwan 70B Instruct
Input price$10/1M tokens-
Output price$30/1M tokens-
Providers

Capabilities

CapabilityGPT-4 Turbo PreviewLlama 3 Taiwan 70B Instruct
VisionYesNo
MultimodalNoNo
ReasoningNoNo
JSON / Tool useNoNo
Structured outputsYesNo
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.