Firefunction V1 vs Together AI - Gemma 3n-e4B
Firefunction V1 (2024) and Together AI - Gemma 3n-e4B (2026) are compact production models from Fireworks AI and Google DeepMind. Firefunction V1 ships a 8K-token context window, while Together AI - Gemma 3n-e4B ships a 8K-token context window. On pricing, Together AI - Gemma 3n-e4B costs $0.02/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Together AI - Gemma 3n-e4B is ~2400% cheaper at $0.02/1M; pay for Firefunction V1 only for provider fit.
Decision scorecard
Local evidence first| Signal | Firefunction V1 | Together AI - Gemma 3n-e4B |
|---|---|---|
| Decision fit | General | Agents, Classification, and JSON / Tool use |
| Context window | 8K | 8K |
| Cheapest output | $0.5/1M tokens | $0.04/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Use Firefunction V1 when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Together AI - Gemma 3n-e4B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Together AI - Gemma 3n-e4B has the lower cheapest tracked output price at $0.04/1M tokens.
- 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.
Firefunction V1
$525
Cheapest tracked route: Fireworks AI
Together AI - Gemma 3n-e4B
$26.00
Cheapest tracked route: Together AI
Estimated monthly gap: $499. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Firefunction V1 and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Together AI - Gemma 3n-e4B is $0.46/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- 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 Firefunction V1; plan for SDK, billing, or endpoint changes.
- Firefunction V1 is $0.46/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-01-29 | 2026-03-15 |
| Context window | 8K | 8K |
| Parameters | 46B | 4B |
| Architecture | decoder only | decoder only |
| License | Unknown | Open Source |
| Knowledge cutoff | - | 2024-06 |
Pricing and availability
| Pricing attribute | Firefunction V1 | Together AI - Gemma 3n-e4B |
|---|---|---|
| Input price | $0.5/1M tokens | $0.02/1M tokens |
| Output price | $0.5/1M tokens | $0.04/1M tokens |
| Providers |
Capabilities
| Capability | Firefunction V1 | 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.
For cost, Firefunction V1 lists $0.5/1M input and $0.5/1M output tokens, while Together AI - Gemma 3n-e4B lists $0.02/1M input and $0.04/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Gemma 3n-e4B lower by about $0.47 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose Firefunction V1 when provider fit are central to the workload. Choose Together AI - Gemma 3n-e4B when long-context analysis, larger context windows, and lower input-token cost 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, Firefunction V1 or Together AI - Gemma 3n-e4B?
Together AI - Gemma 3n-e4B supports 8K tokens, while Firefunction V1 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, Firefunction V1 or Together AI - Gemma 3n-e4B?
Together AI - Gemma 3n-e4B is cheaper on tracked token pricing. Firefunction V1 costs $0.5/1M input and $0.5/1M output tokens. Together AI - Gemma 3n-e4B costs $0.02/1M input and $0.04/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Firefunction V1 or Together AI - Gemma 3n-e4B open source?
Firefunction V1 is listed under Unknown. 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, Firefunction V1 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, Firefunction V1 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.
Where can I run Firefunction V1 and Together AI - Gemma 3n-e4B?
Firefunction V1 is available on Fireworks AI. Together AI - Gemma 3n-e4B is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.