Codex 1 vs Together AI - Gemma 3n-e4B
Codex 1 (2025) and Together AI - Gemma 3n-e4B (2026) are agentic coding models from OpenAI and Google DeepMind. Codex 1 ships a 192K-token context window, while Together AI - Gemma 3n-e4B ships a 8K-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 23x more tokens; pick it for long-context work and Together AI - Gemma 3n-e4B for tighter calls.
Decision scorecard
Local evidence first| Signal | Codex 1 | Together AI - Gemma 3n-e4B |
|---|---|---|
| Decision fit | Coding, Agents, and Long context | Agents, Classification, and JSON / Tool use |
| Context window | 192K | 8K |
| Cheapest output | - | $0.04/1M tokens |
| 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.
- Together AI - Gemma 3n-e4B has broader tracked provider coverage for fallback and procurement flexibility.
- Together AI - Gemma 3n-e4B uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
- Local decision data tags Together AI - Gemma 3n-e4B for Agents, Classification, and JSON / Tool use.
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
Together AI - Gemma 3n-e4B
$26.00
Cheapest tracked route: Together AI
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 Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning and Code execution before moving production traffic.
- Together AI - Gemma 3n-e4B adds Function calling, Tool use, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Together AI - Gemma 3n-e4B and Codex 1; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
- Codex 1 adds Reasoning and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-05-16 | 2026-03-15 |
| Context window | 192K | 8K |
| Parameters | — | 4B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Codex 1 | Together AI - Gemma 3n-e4B |
|---|---|---|
| Input price | - | $0.02/1M tokens |
| Output price | - | $0.04/1M tokens |
| Providers | - |
Capabilities
| Capability | Codex 1 | Together AI - Gemma 3n-e4B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| 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, function calling: Together AI - Gemma 3n-e4B, tool use: Together AI - Gemma 3n-e4B, structured outputs: Together AI - Gemma 3n-e4B, 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 Together AI - Gemma 3n-e4B has $0.02/1M input tokens. 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 Together AI - Gemma 3n-e4B 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.
FAQ
Which has a larger context window, Codex 1 or Together AI - Gemma 3n-e4B?
Codex 1 supports 192K tokens, while Together AI - Gemma 3n-e4B 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 Together AI - Gemma 3n-e4B open source?
Codex 1 is listed under Proprietary. Together AI - Gemma 3n-e4B 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 Together AI - Gemma 3n-e4B?
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 function calling, Codex 1 or Together AI - Gemma 3n-e4B?
Together AI - Gemma 3n-e4B 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.
Which is better for tool use, Codex 1 or Together AI - Gemma 3n-e4B?
Together AI - Gemma 3n-e4B has the clearer documented tool use signal in this comparison. If tool use 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 Together AI - Gemma 3n-e4B?
Codex 1 is available on the tracked providers still being sourced. Together AI - Gemma 3n-e4B is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.