Together AI - Gemma 3n-e4B vs text-davinci
Together AI - Gemma 3n-e4B (2026) and text-davinci (2022) are compact production models from Google DeepMind and OpenAI. Together AI - Gemma 3n-e4B ships a 8k-token context window, while text-davinci ships a 4k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Together AI - Gemma 3n-e4B is safer overall; choose text-davinci when provider fit matters.
Decision scorecard
Local evidence first| Signal | Together AI - Gemma 3n-e4B | text-davinci |
|---|---|---|
| Best for | tool-calling agents | general production evaluation |
| Decision fit | Agents, Classification, and JSON / Tool use | General |
| Context window | 8k | 4k |
| Cheapest output | $0.04/1M tokens | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Together AI - Gemma 3n-e4B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Together AI - Gemma 3n-e4B has broader tracked provider coverage for fallback and route flexibility.
- Together AI - Gemma 3n-e4B uniquely exposes JSON / 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.
- Use text-davinci when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Together AI - Gemma 3n-e4B
$26.00
Cheapest tracked route/tier: Together AI
text-davinci
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 Together AI - Gemma 3n-e4B and text-davinci; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for JSON / Tool use and Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for text-davinci and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Together AI - Gemma 3n-e4B adds JSON / Tool use and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2022-01-27 |
| Context window | 8k | 4k |
| Parameters | 4B | 175B |
| Architecture | Decoder Only | Decoder Only |
| License | Gemma | Proprietary |
| Openness | Open weights | Proprietary |
| Weights | Unknown | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2024-06 | 2021-06 |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | text-davinci |
|---|---|---|
| Input price | $0.02/1M tokens | - |
| Output price | $0.04/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | text-davinci |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.