Together AI - Gemma 3n-e4B vs Llama 3.1 Nemotron Nano VL 8B v1
Together AI - Gemma 3n-e4B (2026) and Llama 3.1 Nemotron Nano VL 8B v1 (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 VL 8B v1 ships a 4K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Together AI - Gemma 3n-e4B is safer overall; choose Llama 3.1 Nemotron Nano VL 8B v1 when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | Together AI - Gemma 3n-e4B | Llama 3.1 Nemotron Nano VL 8B v1 |
|---|---|---|
| Decision fit | Agents, Classification, and JSON / Tool use | Vision |
| Context window | 8K | 4K |
| Cheapest output | $0.04/1M tokens | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
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 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.
- Llama 3.1 Nemotron Nano VL 8B v1 uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Llama 3.1 Nemotron Nano VL 8B v1 for Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Together AI - Gemma 3n-e4B
$26.00
Cheapest tracked route: Together AI
Llama 3.1 Nemotron Nano VL 8B v1
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 VL 8B v1; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
- Llama 3.1 Nemotron Nano VL 8B v1 adds Vision and Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Llama 3.1 Nemotron Nano VL 8B v1 and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- Together AI - Gemma 3n-e4B adds Function calling, Tool use, and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2025-03-01 |
| Context window | 8K | 4K |
| Parameters | 4B | 8B |
| Architecture | decoder only | decoder only |
| License | Open Source | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | Llama 3.1 Nemotron Nano VL 8B v1 |
|---|---|---|
| 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 VL 8B v1 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Llama 3.1 Nemotron Nano VL 8B v1, multimodal input: Llama 3.1 Nemotron Nano VL 8B v1, function calling: Together AI - Gemma 3n-e4B, tool use: Together AI - Gemma 3n-e4B, and structured outputs: Together AI - Gemma 3n-e4B. 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: Together AI - Gemma 3n-e4B has $0.02/1M input tokens and Llama 3.1 Nemotron Nano VL 8B v1 has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Together AI - Gemma 3n-e4B when long-context analysis and larger context windows are central to the workload. Choose Llama 3.1 Nemotron Nano VL 8B v1 when vision-heavy evaluation are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Together AI - Gemma 3n-e4B or Llama 3.1 Nemotron Nano VL 8B v1?
Together AI - Gemma 3n-e4B supports 8K tokens, while Llama 3.1 Nemotron Nano VL 8B v1 supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Together AI - Gemma 3n-e4B or Llama 3.1 Nemotron Nano VL 8B v1 open source?
Together AI - Gemma 3n-e4B is listed under Open Source. Llama 3.1 Nemotron Nano VL 8B v1 is listed under 1. 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 vision, Together AI - Gemma 3n-e4B or Llama 3.1 Nemotron Nano VL 8B v1?
Llama 3.1 Nemotron Nano VL 8B v1 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Together AI - Gemma 3n-e4B or Llama 3.1 Nemotron Nano VL 8B v1?
Llama 3.1 Nemotron Nano VL 8B v1 has the clearer documented multimodal input signal in this comparison. If multimodal input 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, Together AI - Gemma 3n-e4B or Llama 3.1 Nemotron Nano VL 8B v1?
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.
Where can I run Together AI - Gemma 3n-e4B and Llama 3.1 Nemotron Nano VL 8B v1?
Together AI - Gemma 3n-e4B is available on Together AI. Llama 3.1 Nemotron Nano VL 8B v1 is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.