Dracarys Llama 3.1 70B Instruct vs Together AI - Gemma 3n-e4B
Dracarys Llama 3.1 70B Instruct (2024) and Together AI - Gemma 3n-e4B (2026) are compact production models from Abacus.AI and Google DeepMind. Both ship a 8k-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 Dracarys Llama 3.1 70B Instruct when provider fit matters.
Decision scorecard
Local evidence first| Signal | Dracarys Llama 3.1 70B Instruct | Together AI - Gemma 3n-e4B |
|---|---|---|
| Best for | general production evaluation | tool-calling agents |
| Decision fit | General | Agents, Classification, and JSON / Tool use |
| Context window | 8k | 8k |
| Cheapest output | - | $0.04/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Use Dracarys Llama 3.1 70B Instruct when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- 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.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Dracarys Llama 3.1 70B Instruct
Unavailable
No complete token price in local provider data
Together AI - Gemma 3n-e4B
$26.00
Cheapest tracked route/tier: 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 Dracarys Llama 3.1 70B Instruct 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.
- No overlapping tracked provider route is sourced for Together AI - Gemma 3n-e4B and Dracarys Llama 3.1 70B Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for JSON / Tool use and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-09-01 | 2026-03-15 |
| Context window | 8k | 8k |
| Parameters | 70B | 4B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Gemma |
| 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 | Dracarys Llama 3.1 70B Instruct | Together AI - Gemma 3n-e4B |
|---|---|---|
| Input price | - | $0.02/1M tokens |
| Output price | - | $0.04/1M tokens |
| Providers |
Capabilities
| Capability | Dracarys Llama 3.1 70B Instruct | Together AI - Gemma 3n-e4B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | Yes |
| Structured outputs | No | Yes |
| 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.