GPT-4 Turbo Preview vs Llama Guard 2 8B
GPT-4 Turbo Preview (2023) and Llama Guard 2 8B (2024) are compact production models from OpenAI and AI at Meta. GPT-4 Turbo Preview ships a 128K-token context window, while Llama Guard 2 8B ships a 8K-token context window. On pricing, Llama Guard 2 8B costs $0.05/1M input tokens versus $10/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama Guard 2 8B is ~19900% cheaper at $0.05/1M; pay for GPT-4 Turbo Preview only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4 Turbo Preview | Llama Guard 2 8B |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | General |
| Context window | 128K | 8K |
| Cheapest output | $30/1M tokens | $0.25/1M tokens |
| Provider routes | 3 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-4 Turbo Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- 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.
- Llama Guard 2 8B has the lower cheapest tracked output price at $0.25/1M tokens.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
GPT-4 Turbo Preview
$15,500
Cheapest tracked route: OpenAI API
Llama Guard 2 8B
$103
Cheapest tracked route: Replicate API
Estimated monthly gap: $15,398. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for GPT-4 Turbo Preview and Llama Guard 2 8B; plan for SDK, billing, or endpoint changes.
- Llama Guard 2 8B is $29.75/1M 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.
- No overlapping tracked provider route is sourced for Llama Guard 2 8B and GPT-4 Turbo Preview; plan for SDK, billing, or endpoint changes.
- GPT-4 Turbo Preview is $29.75/1M 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 | ||
|---|---|---|
| Released | 2023-11-06 | 2024-04-18 |
| Context window | 128K | 8K |
| Parameters | 1.76T (8x222B MoE)* | 8B |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | GPT-4 Turbo Preview | Llama Guard 2 8B |
|---|---|---|
| Input price | $10/1M tokens | $0.05/1M tokens |
| Output price | $30/1M tokens | $0.25/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 Turbo Preview | Llama Guard 2 8B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
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 Guard 2 8B lists $0.05/1M input and $0.25/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 2 8B lower by about $15.89 per million blended tokens. Availability is 3 providers versus 3, so concentration risk also matters.
Choose GPT-4 Turbo Preview when coding workflow support and larger context windows are central to the workload. Choose Llama Guard 2 8B 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 Guard 2 8B?
GPT-4 Turbo Preview supports 128K tokens, while Llama Guard 2 8B supports 8K 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 Guard 2 8B?
Llama Guard 2 8B is cheaper on tracked token pricing. GPT-4 Turbo Preview costs $10/1M input and $30/1M output tokens. Llama Guard 2 8B costs $0.05/1M input and $0.25/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4 Turbo Preview or Llama Guard 2 8B open source?
GPT-4 Turbo Preview is listed under Proprietary. Llama Guard 2 8B 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 Guard 2 8B?
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 Guard 2 8B?
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 Guard 2 8B?
GPT-4 Turbo Preview is available on OpenAI API, Azure OpenAI, and OpenRouter. Llama Guard 2 8B is available on Fireworks AI, OctoAI API (Deprecated), and Replicate API. 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.