Firefunction V2 vs Gemma 3n
Firefunction V2 (2024) and Gemma 3n (2025) are compact production models from Fireworks AI and Google DeepMind. Firefunction V2 ships a 32k-token context window, while Gemma 3n ships a 32k-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.
Gemma 3n is safer overall; choose Firefunction V2 when provider fit matters.
Decision scorecard
Local evidence first| Signal | Firefunction V2 | Gemma 3n |
|---|---|---|
| Best for | general production evaluation | provider-routed production |
| Decision fit | General | Classification and JSON / JSON / Tool use |
| Context window | 32k | 32k |
| Cheapest output | $0.90/1M tokens | - |
| Provider routes | 1 tracked | 2 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Use Firefunction V2 when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Gemma 3n has broader tracked provider coverage for fallback and route flexibility.
- Gemma 3n uniquely exposes Structured outputs in local model data.
- Local decision data tags Gemma 3n for Classification and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Firefunction V2
$945
Cheapest tracked route/tier: Fireworks AI
Gemma 3n
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 Firefunction V2 and Gemma 3n; plan for SDK, billing, or endpoint changes.
- Gemma 3n adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Gemma 3n and Firefunction V2; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-01-29 | 2025-03-12 |
| Context window | 32k | 32k |
| Parameters | 70B | — |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Gemma |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | - | 2024-06 |
Pricing and availability
| Pricing attribute | Firefunction V2 | Gemma 3n |
|---|---|---|
| Input price | $0.90/1M tokens | - |
| Output price | $0.90/1M tokens | - |
| Providers |
Capabilities
| Capability | Firefunction V2 | Gemma 3n |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | No | Yes |
| 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.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.