GPT-4 Turbo vs Llama 3.1 NemoGuard 8B Content Safety
GPT-4 Turbo (2024) and Llama 3.1 NemoGuard 8B Content Safety (2025) are compact production models from OpenAI and NVIDIA AI. GPT-4 Turbo ships a 128k-token context window, while Llama 3.1 NemoGuard 8B Content Safety ships a 4k-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 fits 32x more tokens; pick it for long-context work and Llama 3.1 NemoGuard 8B Content Safety for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-4 Turbo | Llama 3.1 NemoGuard 8B Content Safety |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | general production evaluation |
| Decision fit | Coding, RAG, and Agents | Classification |
| Context window | 128k | 4k |
| Cheapest output | $15/1M tokens | - |
| Provider routes | 6 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-4 Turbo has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-4 Turbo has broader tracked provider coverage for fallback and route flexibility.
- GPT-4 Turbo uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
- Local decision data tags GPT-4 Turbo for Coding, RAG, and Agents.
- Local decision data tags Llama 3.1 NemoGuard 8B Content Safety for Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-4 Turbo
$7,750
Cheapest tracked route/tier: Replicate API
Llama 3.1 NemoGuard 8B Content Safety
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for GPT-4 Turbo and Llama 3.1 NemoGuard 8B Content Safety; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
- No overlapping tracked provider route is sourced for Llama 3.1 NemoGuard 8B Content Safety and GPT-4 Turbo; plan for SDK, billing, or endpoint changes.
- GPT-4 Turbo adds Vision, Multimodal, and JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-04-09 | 2025-01-01 |
| Context window | 128k | 4k |
| Parameters | 1.76T (8x222B MoE)* | 8B |
| Architecture | Mixture of Experts | Decoder Only |
| License | Proprietary | Open Weights |
| Openness | Proprietary | Open weights |
| Weights | Not released | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | - |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | GPT-4 Turbo | Llama 3.1 NemoGuard 8B Content Safety |
|---|---|---|
| Input price | $5/1M tokens | - |
| Output price | $15/1M tokens | - |
| Providers |
Capabilities
| Capability | GPT-4 Turbo | Llama 3.1 NemoGuard 8B Content Safety |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Continue comparing
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Popular comparisons for GPT-4 Turbo
Popular comparisons for Llama 3.1 NemoGuard 8B Content Safety
- Llama 3.1 NemoGuard 8B Content Safety vs text-curie
- Llama 3.1 NemoGuard 8B Content Safety vs ShieldGemma 9B
- Llama 3.1 NemoGuard 8B Content Safety vs Llama 3.1 Nemotron Nano 4B v1.1
- Llama 3.1 NemoGuard 8B Content Safety vs Llama 3.1 Nemotron Nano VL 8B v1
- Llama 3.1 NemoGuard 8B Content Safety vs Qwen2-7B-Instruct
- Llama 3.1 NemoGuard 8B Content Safety vs Granite Guardian 3.0 8B
Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.