GPT-4 Turbo Preview vs Llama 3.1 Nemotron Nano VL 8B v1
GPT-4 Turbo Preview (2023) and Llama 3.1 Nemotron Nano VL 8B v1 (2025) are compact production models from OpenAI and NVIDIA AI. GPT-4 Turbo Preview ships a 128K-token context window, while Llama 3.1 Nemotron Nano VL 8B v1 ships a 4K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
GPT-4 Turbo Preview fits 32x more tokens; pick it for long-context work and Llama 3.1 Nemotron Nano VL 8B v1 for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-4 Turbo Preview | Llama 3.1 Nemotron Nano VL 8B v1 |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | Vision |
| Context window | 128K | 4K |
| Cheapest output | $30/1M tokens | - |
| Provider routes | 3 tracked | 1 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 has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-4 Turbo Preview uniquely exposes Structured outputs and Code execution in local model data.
- Local decision data tags GPT-4 Turbo Preview for Coding, RAG, and Agents.
- Llama 3.1 Nemotron Nano VL 8B v1 uniquely exposes Multimodal in local model data.
- Local decision data tags Llama 3.1 Nemotron Nano VL 8B v1 for Vision.
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 3.1 Nemotron Nano VL 8B v1
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 Preview and Llama 3.1 Nemotron Nano VL 8B v1; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs and Code execution before moving production traffic.
- Llama 3.1 Nemotron Nano VL 8B v1 adds Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Llama 3.1 Nemotron Nano VL 8B v1 and GPT-4 Turbo Preview; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Multimodal before moving production traffic.
- GPT-4 Turbo Preview adds Structured outputs and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-11-06 | 2025-03-01 |
| Context window | 128K | 4K |
| Parameters | 1.76T (8x222B MoE)* | 8B |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | 1 |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | GPT-4 Turbo Preview | Llama 3.1 Nemotron Nano VL 8B v1 |
|---|---|---|
| Input price | $10/1M tokens | - |
| Output price | $30/1M tokens | - |
| Providers |
Capabilities
| Capability | GPT-4 Turbo Preview | Llama 3.1 Nemotron Nano VL 8B v1 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | No | Yes |
| 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 multimodal input: Llama 3.1 Nemotron Nano VL 8B v1, structured outputs: GPT-4 Turbo Preview, and code execution: GPT-4 Turbo Preview. Both models share vision, 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.
Pricing coverage is uneven: GPT-4 Turbo Preview has $10/1M input tokens and Llama 3.1 Nemotron Nano VL 8B v1 has no token price sourced yet. Provider availability is 3 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose GPT-4 Turbo Preview when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Llama 3.1 Nemotron Nano VL 8B v1 when vision-heavy evaluation 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 3.1 Nemotron Nano VL 8B v1?
GPT-4 Turbo Preview supports 128K tokens, while Llama 3.1 Nemotron Nano VL 8B v1 supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is GPT-4 Turbo Preview or Llama 3.1 Nemotron Nano VL 8B v1 open source?
GPT-4 Turbo Preview is listed under Proprietary. Llama 3.1 Nemotron Nano VL 8B v1 is listed under 1. 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 3.1 Nemotron Nano VL 8B v1?
Both GPT-4 Turbo Preview and Llama 3.1 Nemotron Nano VL 8B v1 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, GPT-4 Turbo Preview or Llama 3.1 Nemotron Nano VL 8B v1?
Llama 3.1 Nemotron Nano VL 8B v1 has the clearer documented multimodal input signal in this comparison. If multimodal input 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 3.1 Nemotron Nano VL 8B v1?
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 3.1 Nemotron Nano VL 8B v1?
GPT-4 Turbo Preview is available on OpenAI API, Azure OpenAI, and OpenRouter. Llama 3.1 Nemotron Nano VL 8B v1 is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.