Codex 1 vs Llama 3.1 Nemotron Nano 4B v1.1
Codex 1 (2025) and Llama 3.1 Nemotron Nano 4B v1.1 (2025) are agentic coding models from OpenAI and NVIDIA AI. Codex 1 ships a 192K-token context window, while Llama 3.1 Nemotron Nano 4B v1.1 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.
Codex 1 fits 48x more tokens; pick it for long-context work and Llama 3.1 Nemotron Nano 4B v1.1 for tighter calls.
Decision scorecard
Local evidence first| Signal | Codex 1 | Llama 3.1 Nemotron Nano 4B v1.1 |
|---|---|---|
| Decision fit | Coding, Agents, and Long context | General |
| Context window | 192K | 4K |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Codex 1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Codex 1 uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags Codex 1 for Coding, Agents, and Long context.
- Llama 3.1 Nemotron Nano 4B v1.1 has broader tracked provider coverage for fallback and procurement flexibility.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Codex 1
Unavailable
No complete token price in local provider data
Llama 3.1 Nemotron Nano 4B v1.1
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 Codex 1 and Llama 3.1 Nemotron Nano 4B v1.1; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning and Code execution before moving production traffic.
- No overlapping tracked provider route is sourced for Llama 3.1 Nemotron Nano 4B v1.1 and Codex 1; plan for SDK, billing, or endpoint changes.
- Codex 1 adds Reasoning and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-05-16 | 2025-04-01 |
| Context window | 192K | 4K |
| Parameters | — | 4B |
| Architecture | decoder only | decoder only |
| License | Proprietary | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Codex 1 | Llama 3.1 Nemotron Nano 4B v1.1 |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Codex 1 | Llama 3.1 Nemotron Nano 4B v1.1 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: Codex 1 and code execution: Codex 1. 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.
Pricing coverage is uneven: Codex 1 has no token price sourced yet and Llama 3.1 Nemotron Nano 4B v1.1 has no token price sourced yet. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Codex 1 when coding workflow support and larger context windows are central to the workload. Choose Llama 3.1 Nemotron Nano 4B v1.1 when provider fit and broader provider choice 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, Codex 1 or Llama 3.1 Nemotron Nano 4B v1.1?
Codex 1 supports 192K tokens, while Llama 3.1 Nemotron Nano 4B v1.1 supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Codex 1 or Llama 3.1 Nemotron Nano 4B v1.1 open source?
Codex 1 is listed under Proprietary. Llama 3.1 Nemotron Nano 4B v1.1 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 reasoning mode, Codex 1 or Llama 3.1 Nemotron Nano 4B v1.1?
Codex 1 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for code execution, Codex 1 or Llama 3.1 Nemotron Nano 4B v1.1?
Codex 1 has the clearer documented code execution signal in this comparison. If code execution is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Codex 1 and Llama 3.1 Nemotron Nano 4B v1.1?
Codex 1 is available on the tracked providers still being sourced. Llama 3.1 Nemotron Nano 4B v1.1 is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Codex 1 over Llama 3.1 Nemotron Nano 4B v1.1?
Codex 1 fits 48x more tokens; pick it for long-context work and Llama 3.1 Nemotron Nano 4B v1.1 for tighter calls. If your workload also depends on coding workflow support, start with Codex 1; if it depends on provider fit, run the same evaluation with Llama 3.1 Nemotron Nano 4B v1.1.
Continue comparing
Last reviewed: 2026-05-01. Data sourced from public model cards and provider documentation.