GPT-4 Turbo vs Nemotron 3 Nano Omni
GPT-4 Turbo (2024) and Nemotron 3 Nano Omni (2026) are compact production models from OpenAI and NVIDIA AI. GPT-4 Turbo ships a 128k-token context window, while Nemotron 3 Nano Omni ships a 262k-token context window. On MMLU PRO, Nemotron 3 Nano Omni leads by 2.4 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Nemotron 3 Nano Omni is safer overall; choose GPT-4 Turbo when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | GPT-4 Turbo | Nemotron 3 Nano Omni |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | multimodal apps |
| Decision fit | Coding, RAG, and Agents | Long context, Vision, and Classification |
| Context window | 128k | 262k |
| Cheapest output | $15/1M tokens | - |
| Provider routes | 6 tracked | 1 tracked |
| Shared benchmarks | 1 rows | MMLU PRO leader |
Decision tradeoffs
- GPT-4 Turbo has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-4 Turbo uniquely exposes Vision, Function calling, and Tool use in local model data.
- Local decision data tags GPT-4 Turbo for Coding, RAG, and Agents.
- Nemotron 3 Nano Omni holds a shared-benchmark lead on MMLU PRO, ahead by 2.4 points.
- Nemotron 3 Nano Omni has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Nemotron 3 Nano Omni for Long context, Vision, and 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
Nemotron 3 Nano Omni
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Check replacement coverage for Vision, Function calling, and Tool use before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-4 Turbo adds Vision, Function calling, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-04-09 | 2026-04-28 |
| Context window | 128k | 262k |
| Parameters | 1.76T (8x222B MoE)* | 30B |
| Architecture | mixture of experts | Hybrid Mamba-Transformer MoE |
| License | Proprietary | NVIDIA Open Model |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | GPT-4 Turbo | Nemotron 3 Nano Omni |
|---|---|---|
| Input price | $5/1M tokens | - |
| Output price | $15/1M tokens | - |
| Providers |
Capabilities
| Capability | GPT-4 Turbo | Nemotron 3 Nano Omni |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| 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
| Benchmark | GPT-4 Turbo | Nemotron 3 Nano Omni |
|---|---|---|
| MMLU PRO | 69.4 | 71.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has GPT-4 Turbo at 69.4 and Nemotron 3 Nano Omni at 71.8, with Nemotron 3 Nano Omni ahead by 2.4 points. The largest visible gap is 2.4 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: GPT-4 Turbo, function calling: GPT-4 Turbo, tool use: GPT-4 Turbo, structured outputs: GPT-4 Turbo, and code execution: GPT-4 Turbo. Both models share multimodal input, 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 has $5/1M input tokens and Nemotron 3 Nano Omni has no token price sourced yet. Provider availability is 6 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 when coding workflow support and broader provider choice are central to the workload. Choose Nemotron 3 Nano Omni when long-context analysis and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, GPT-4 Turbo or Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni supports 262k tokens, while GPT-4 Turbo supports 128k 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 or Nemotron 3 Nano Omni open source?
GPT-4 Turbo is listed under Proprietary. Nemotron 3 Nano Omni is listed under NVIDIA Open Model. 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 or Nemotron 3 Nano Omni?
GPT-4 Turbo 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, GPT-4 Turbo or Nemotron 3 Nano Omni?
Both GPT-4 Turbo and Nemotron 3 Nano Omni expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for function calling, GPT-4 Turbo or Nemotron 3 Nano Omni?
GPT-4 Turbo has the clearer documented function calling signal in this comparison. If function calling 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 and Nemotron 3 Nano Omni?
GPT-4 Turbo is available on OpenAI API, Azure OpenAI, Salesforce Einstein Generative AI, OpenRouter, and Replicate API. Nemotron 3 Nano Omni is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.