Codex 1 vs Llama Guard 2 8B
Codex 1 (2025) and Llama Guard 2 8B (2024) compare a coding-specialized model against a standalone API model. Codex 1 ships a 192K-token context window, while Llama Guard 2 8B ships a 8K-token context window. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Codex 1 is coding-specialized model, while Llama Guard 2 8B is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Codex 1 | Llama Guard 2 8B |
|---|---|---|
| Product type | Coding-specialized model | Standalone API model |
| Best for | custom coding agents and code generation | provider-routed production |
| Decision fit | Coding, Agents, and Long context | Classification |
| Context window | 192K | 8K |
| Cheapest output | - | $0.25/1M tokens |
| Provider routes | 0 tracked | 3 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 Guard 2 8B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama Guard 2 8B for Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Codex 1
Unavailable
No complete token price in local provider data
Llama Guard 2 8B
$103
Cheapest tracked route/tier: Replicate API
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 Guard 2 8B; 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 Guard 2 8B 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 | 2024-04-18 |
| Context window | 192K | 8K |
| Parameters | — | 8B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | - | 2023-03 |
Pricing and availability
| Pricing attribute | Codex 1 | Llama Guard 2 8B |
|---|---|---|
| Input price | - | $0.05/1M tokens |
| Output price | - | $0.25/1M tokens |
| Providers | - |
Capabilities
| Capability | Codex 1 | Llama Guard 2 8B |
|---|---|---|
| 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 |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | 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 Guard 2 8B has $0.05/1M input tokens. Provider availability is 0 tracked routes versus 3. 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 Guard 2 8B 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Codex 1 or Llama Guard 2 8B?
Codex 1 supports 192K 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.
Is Codex 1 or Llama Guard 2 8B open source?
Codex 1 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 reasoning mode, Codex 1 or Llama Guard 2 8B?
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 Guard 2 8B?
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 Guard 2 8B?
Codex 1 is available on the tracked providers still being sourced. 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.
When should I pick Codex 1 over Llama Guard 2 8B?
Treat this as a product-type comparison: Codex 1 is coding-specialized model, while Llama Guard 2 8B is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive. 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 Guard 2 8B.
Continue comparing
Last reviewed: 2026-05-02. Data sourced from public model cards and provider documentation.