Colosseum 355B Instruct vs Together AI - Gemma 3n-e4B
Colosseum 355B Instruct (2025) and Together AI - Gemma 3n-e4B (2026) are compact production models from iGenius and Google DeepMind. Colosseum 355B Instruct ships a 16K-token context window, while Together AI - Gemma 3n-e4B ships a 8K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Together AI - Gemma 3n-e4B is safer overall; choose Colosseum 355B Instruct when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Colosseum 355B Instruct | Together AI - Gemma 3n-e4B |
|---|---|---|
| Decision fit | General | Agents, Classification, and JSON / Tool use |
| Context window | 16K | 8K |
| Cheapest output | - | $0.04/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Colosseum 355B Instruct 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.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Colosseum 355B Instruct
Unavailable
No complete token price in local provider data
Together AI - Gemma 3n-e4B
$26.00
Cheapest tracked route: 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 Colosseum 355B Instruct and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Together AI - Gemma 3n-e4B adds Function calling, Tool use, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Together AI - Gemma 3n-e4B and Colosseum 355B Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2026-03-15 |
| Context window | 16K | 8K |
| Parameters | 355B | 4B |
| Architecture | decoder only | decoder only |
| License | 1 | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Colosseum 355B Instruct | Together AI - Gemma 3n-e4B |
|---|---|---|
| Input price | - | $0.02/1M tokens |
| Output price | - | $0.04/1M tokens |
| Providers |
Capabilities
| Capability | Colosseum 355B Instruct | Together AI - Gemma 3n-e4B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | 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, 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: Colosseum 355B Instruct has no token price sourced yet and Together AI - Gemma 3n-e4B has $0.02/1M input tokens. 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 Colosseum 355B Instruct when long-context analysis and larger context windows are central to the workload. Choose Together AI - Gemma 3n-e4B when provider fit 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, Colosseum 355B Instruct or Together AI - Gemma 3n-e4B?
Colosseum 355B Instruct supports 16K 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 Colosseum 355B Instruct or Together AI - Gemma 3n-e4B open source?
Colosseum 355B Instruct is listed under 1. Together AI - Gemma 3n-e4B 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, Colosseum 355B Instruct or Together AI - Gemma 3n-e4B?
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, Colosseum 355B Instruct or Together AI - Gemma 3n-e4B?
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.
Which is better for structured outputs, Colosseum 355B Instruct or Together AI - Gemma 3n-e4B?
Together AI - Gemma 3n-e4B has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Colosseum 355B Instruct and Together AI - Gemma 3n-e4B?
Colosseum 355B Instruct is available on NVIDIA NIM. Together AI - Gemma 3n-e4B is available on Together AI. 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.