Together AI - Gemma 3n-e4B vs Llama 3.1 Nemotron Nano 4B v1.1
Together AI - Gemma 3n-e4B (2026) and Llama 3.1 Nemotron Nano 4B v1.1 (2025) are compact production models from Google DeepMind and NVIDIA AI. Together AI - Gemma 3n-e4B ships a 8k-token context window, while Llama 3.1 Nemotron Nano 4B v1.1 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.
Together AI - Gemma 3n-e4B is safer overall; choose Llama 3.1 Nemotron Nano 4B v1.1 when provider fit matters.
Decision scorecard
Local evidence first| Signal | Together AI - Gemma 3n-e4B | Llama 3.1 Nemotron Nano 4B v1.1 |
|---|---|---|
| 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 | 1 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 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 Llama 3.1 Nemotron Nano 4B v1.1 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
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 Together AI - Gemma 3n-e4B and Llama 3.1 Nemotron Nano 4B v1.1; 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 Llama 3.1 Nemotron Nano 4B v1.1 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 | 2025-04-01 |
| Context window | 8k | 4k |
| Parameters | 4B | 4B |
| Architecture | Decoder Only | Decoder Only |
| License | Gemma | Llama 3 Community |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2024-06 | - |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | Llama 3.1 Nemotron Nano 4B v1.1 |
|---|---|---|
| Input price | $0.02/1M tokens | - |
| Output price | $0.04/1M tokens | - |
| Providers |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | Llama 3.1 Nemotron Nano 4B v1.1 |
|---|---|---|
| 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.