LLM Reference

GPT-4 Turbo Preview vs Llama 2 7B

GPT-4 Turbo Preview (2023) and Llama 2 7B (2023) are compact production models from OpenAI and AI at Meta. GPT-4 Turbo Preview ships a 128K-token context window, while Llama 2 7B ships a 4K-token context window. On pricing, Llama 2 7B costs $0.2/1M input tokens versus $10/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Llama 2 7B is ~4900% cheaper at $0.2/1M; pay for GPT-4 Turbo Preview only for coding workflow support.

Decision scorecard

Local evidence first
SignalGPT-4 Turbo PreviewLlama 2 7B
Decision fitCoding, RAG, and AgentsCoding and Classification
Context window128K4K
Cheapest output$30/1M tokens$0.2/1M tokens
Provider routes3 tracked1 tracked
Shared benchmarks0 rows0 rows

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 procurement 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 2 7B when...
  • Llama 2 7B has the lower cheapest tracked output price at $0.2/1M tokens.
  • Local decision data tags Llama 2 7B for Coding and Classification.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Lower estimate Llama 2 7B

GPT-4 Turbo Preview

$15,500

Cheapest tracked route: OpenAI API

Llama 2 7B

$210

Cheapest tracked route: Fireworks AI

Estimated monthly gap: $15,290. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-4 Turbo Preview -> Llama 2 7B
  • No overlapping tracked provider route is sourced for GPT-4 Turbo Preview and Llama 2 7B; plan for SDK, billing, or endpoint changes.
  • Llama 2 7B is $29.80/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Structured outputs, and Code execution before moving production traffic.
Llama 2 7B -> GPT-4 Turbo Preview
  • No overlapping tracked provider route is sourced for Llama 2 7B and GPT-4 Turbo Preview; plan for SDK, billing, or endpoint changes.
  • GPT-4 Turbo Preview is $29.80/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • GPT-4 Turbo Preview adds Vision, Structured outputs, and Code execution in local capability data.

Specs

Specification
Released2023-11-062023-07-18
Context window128K4K
Parameters1.76T (8x222B MoE)*7B
Architecturemixture of expertsdecoder only
LicenseProprietaryOpen Source
Knowledge cutoff2023-122022-09

Pricing and availability

Pricing attributeGPT-4 Turbo PreviewLlama 2 7B
Input price$10/1M tokens$0.2/1M tokens
Output price$30/1M tokens$0.2/1M tokens
Providers

Capabilities

CapabilityGPT-4 Turbo PreviewLlama 2 7B
VisionYesNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionYesNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: GPT-4 Turbo Preview, structured outputs: GPT-4 Turbo Preview, and code execution: GPT-4 Turbo Preview. Both models share the core language-model surface, 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, GPT-4 Turbo Preview lists $10/1M input and $30/1M output tokens, while Llama 2 7B lists $0.2/1M input and $0.2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 2 7B lower by about $15.80 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.

Choose GPT-4 Turbo Preview when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Llama 2 7B when provider fit and lower input-token cost 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, GPT-4 Turbo Preview or Llama 2 7B?

GPT-4 Turbo Preview supports 128K tokens, while Llama 2 7B supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, GPT-4 Turbo Preview or Llama 2 7B?

Llama 2 7B is cheaper on tracked token pricing. GPT-4 Turbo Preview costs $10/1M input and $30/1M output tokens. Llama 2 7B costs $0.2/1M input and $0.2/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is GPT-4 Turbo Preview or Llama 2 7B open source?

GPT-4 Turbo Preview is listed under Proprietary. Llama 2 7B is listed under Open Source. 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 vision, GPT-4 Turbo Preview or Llama 2 7B?

GPT-4 Turbo Preview has the clearer documented vision signal in this comparison. If vision 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, GPT-4 Turbo Preview or Llama 2 7B?

GPT-4 Turbo Preview has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run GPT-4 Turbo Preview and Llama 2 7B?

GPT-4 Turbo Preview is available on OpenAI API, Azure OpenAI, and OpenRouter. Llama 2 7B is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.