Together AI - Gemma 3n-e4B vs Together AI - Qwen3.5-9B
Together AI - Gemma 3n-e4B (2026) and Together AI - Qwen3.5-9B (2026) are compact production models from Google DeepMind and Alibaba. Together AI - Gemma 3n-e4B ships a 8K-token context window, while Together AI - Qwen3.5-9B ships a 33K-token context window. On pricing, Together AI - Gemma 3n-e4B costs $0.02/1M input tokens versus $0.1/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Together AI - Gemma 3n-e4B is ~400% cheaper at $0.02/1M; pay for Together AI - Qwen3.5-9B only for long-context analysis.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2026-02-01 |
| Context window | 8K | 33K |
| Parameters | 4B | 9B |
| Architecture | decoder only | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | Together AI - Qwen3.5-9B |
|---|---|---|
| Input price | $0.02/1M tokens | $0.1/1M tokens |
| Output price | $0.04/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | Together AI - Qwen3.5-9B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover function calling, tool use, and structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Together AI - Gemma 3n-e4B lists $0.02/1M input and $0.04/1M output tokens, while Together AI - Qwen3.5-9B lists $0.1/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Gemma 3n-e4B lower by about $0.09 per million blended tokens. Availability is 1 providers versus 2, 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 Together AI - Qwen3.5-9B 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.
FAQ
Which has a larger context window, Together AI - Gemma 3n-e4B or Together AI - Qwen3.5-9B?
Together AI - Qwen3.5-9B supports 33K 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 Together AI - Qwen3.5-9B?
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. Together AI - Qwen3.5-9B costs $0.1/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Together AI - Gemma 3n-e4B or Together AI - Qwen3.5-9B open source?
Together AI - Gemma 3n-e4B is listed under Open Source. Together AI - Qwen3.5-9B is listed under Open Source. 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 Together AI - Qwen3.5-9B?
Both Together AI - Gemma 3n-e4B and Together AI - Qwen3.5-9B expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for tool use, Together AI - Gemma 3n-e4B or Together AI - Qwen3.5-9B?
Both Together AI - Gemma 3n-e4B and Together AI - Qwen3.5-9B expose tool use. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Together AI - Gemma 3n-e4B and Together AI - Qwen3.5-9B?
Together AI - Gemma 3n-e4B is available on Together AI. Together AI - Qwen3.5-9B is available on Together AI and OpenRouter. 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.