Together AI - Gemma 3n-e4B vs Qwen-AgentWorld-35B-A3B
Together AI - Gemma 3n-e4B (2026) and Qwen-AgentWorld-35B-A3B (2026) are frontier reasoning models from Google DeepMind and Alibaba. Together AI - Gemma 3n-e4B ships a 8k-token context window, while Qwen-AgentWorld-35B-A3B ships a 262k-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.
Qwen-AgentWorld-35B-A3B fits 32x more tokens; pick it for long-context work and Together AI - Gemma 3n-e4B for tighter calls.
Decision scorecard
Local evidence first| Signal | Together AI - Gemma 3n-e4B | Qwen-AgentWorld-35B-A3B |
|---|---|---|
| Best for | tool-calling agents | reasoning-heavy apps and tool-calling agents |
| Decision fit | Agents, Classification, and JSON / Tool use | RAG, Agents, and Long context |
| Context window | 8k | 262k |
| Cheapest output | $0.04/1M tokens | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Together AI - Gemma 3n-e4B has broader tracked provider coverage for fallback and procurement flexibility.
- Together AI - Gemma 3n-e4B uniquely exposes Function calling and Structured outputs in local model data.
- Local decision data tags Together AI - Gemma 3n-e4B for Agents, Classification, and JSON / Tool use.
- Qwen-AgentWorld-35B-A3B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen-AgentWorld-35B-A3B uniquely exposes Reasoning in local model data.
- Local decision data tags Qwen-AgentWorld-35B-A3B for RAG, Agents, and Long context.
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
Qwen-AgentWorld-35B-A3B
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 Qwen-AgentWorld-35B-A3B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling and Structured outputs before moving production traffic.
- Qwen-AgentWorld-35B-A3B adds Reasoning in local capability data.
- No overlapping tracked provider route is sourced for Qwen-AgentWorld-35B-A3B and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- Together AI - Gemma 3n-e4B adds Function calling and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2026-06-25 |
| Context window | 8k | 262k |
| Parameters | 4B | 35B total, 3B active |
| Architecture | Decoder Only | Mixture of Experts |
| License | Gemma | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2024-06 | - |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | Qwen-AgentWorld-35B-A3B |
|---|---|---|
| Input price | $0.02/1M tokens | - |
| Output price | $0.04/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | Qwen-AgentWorld-35B-A3B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| Function calling | Yes | No |
| Tool use | Yes | Yes |
| 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.
Deep dive
The capability footprint differs most on reasoning mode: Qwen-AgentWorld-35B-A3B, function calling: Together AI - Gemma 3n-e4B, and structured outputs: Together AI - Gemma 3n-e4B. Both models share tool use, 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 Qwen-AgentWorld-35B-A3B has no token price sourced yet. Provider availability is 1 tracked routes versus 0. 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 provider fit and broader provider choice are central to the workload. Choose Qwen-AgentWorld-35B-A3B when reasoning depth and larger context windows 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 Qwen-AgentWorld-35B-A3B?
Qwen-AgentWorld-35B-A3B supports 262k 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.
Is Together AI - Gemma 3n-e4B or Qwen-AgentWorld-35B-A3B open source?
Together AI - Gemma 3n-e4B is listed under Gemma. Qwen-AgentWorld-35B-A3B 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 reasoning mode, Together AI - Gemma 3n-e4B or Qwen-AgentWorld-35B-A3B?
Qwen-AgentWorld-35B-A3B has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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 Qwen-AgentWorld-35B-A3B?
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 Qwen-AgentWorld-35B-A3B?
Both Together AI - Gemma 3n-e4B and Qwen-AgentWorld-35B-A3B 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 Qwen-AgentWorld-35B-A3B?
Together AI - Gemma 3n-e4B is available on Together AI. Qwen-AgentWorld-35B-A3B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-25. Data sourced from public model cards and provider documentation.