Together AI - Gemma 3n-e4B vs Llama 3.1 Nemotron 70B Reward
Together AI - Gemma 3n-e4B (2026) and Llama 3.1 Nemotron 70B Reward (2024) 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 70B Reward 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 70B Reward when provider fit matters.
Decision scorecard
Local evidence first| Signal | Together AI - Gemma 3n-e4B | Llama 3.1 Nemotron 70B Reward |
|---|---|---|
| Best for | tool-calling agents | general production evaluation |
| Decision fit | Agents, Classification, and JSON / Tool use | Classification |
| 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.
- Local decision data tags Llama 3.1 Nemotron 70B Reward for Classification.
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 70B Reward
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 70B Reward; 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 70B Reward 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 | 2024-10-01 |
| Context window | 8k | 4k |
| Parameters | 4B | 70B |
| Architecture | Decoder Only | Decoder Only |
| License | Gemma | NVIDIA Open Model |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2024-06 | - |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | Llama 3.1 Nemotron 70B Reward |
|---|---|---|
| Input price | $0.02/1M tokens | - |
| Output price | $0.04/1M tokens | - |
| Providers |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | Llama 3.1 Nemotron 70B Reward |
|---|---|---|
| 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.