Together AI - Gemma 3n-e4B vs Qwen2-72B
Together AI - Gemma 3n-e4B (2026) and Qwen2-72B (2024) are compact production models from Google DeepMind and Alibaba. Together AI - Gemma 3n-e4B ships a 8K-token context window, while Qwen2-72B ships a 128K-token context window. On pricing, Together AI - Gemma 3n-e4B costs $0.02/1M input tokens versus $0.45/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Together AI - Gemma 3n-e4B is ~2150% cheaper at $0.02/1M; pay for Qwen2-72B only for long-context analysis.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2024-06-05 |
| Context window | 8K | 128K |
| Parameters | 4B | 72.71B |
| Architecture | decoder only | decoder only |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | Qwen2-72B |
|---|---|---|
| Input price | $0.02/1M tokens | $0.45/1M tokens |
| Output price | $0.04/1M tokens | $0.65/1M tokens |
| Providers |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | Qwen2-72B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Together AI - Gemma 3n-e4B and tool use: Together AI - Gemma 3n-e4B. Both models share structured outputs, 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.
For cost, Together AI - Gemma 3n-e4B lists $0.02/1M input and $0.04/1M output tokens, while Qwen2-72B lists $0.45/1M input and $0.65/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Gemma 3n-e4B lower by about $0.48 per million blended tokens. Availability is 1 providers versus 4, so concentration risk also matters.
Choose Together AI - Gemma 3n-e4B when provider fit and lower input-token cost are central to the workload. Choose Qwen2-72B when long-context analysis, larger context windows, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Together AI - Gemma 3n-e4B or Qwen2-72B?
Qwen2-72B supports 128K tokens, while Together AI - Gemma 3n-e4B supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Together AI - Gemma 3n-e4B or Qwen2-72B?
Together AI - Gemma 3n-e4B is cheaper on tracked token pricing. Together AI - Gemma 3n-e4B costs $0.02/1M input and $0.04/1M output tokens. Qwen2-72B costs $0.45/1M input and $0.65/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Together AI - Gemma 3n-e4B or Qwen2-72B open source?
Together AI - Gemma 3n-e4B is listed under Open Source. Qwen2-72B is listed under Apache 2.0. 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 function calling, Together AI - Gemma 3n-e4B or Qwen2-72B?
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.
Which is better for tool use, Together AI - Gemma 3n-e4B or Qwen2-72B?
Together AI - Gemma 3n-e4B has the clearer documented tool use signal in this comparison. If tool use 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 Qwen2-72B?
Together AI - Gemma 3n-e4B is available on Together AI. Qwen2-72B is available on Fireworks AI, DeepInfra, Together AI, and Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.