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Firefunction V2 vs Gemma 3 12B (free)

Firefunction V2 (2024) and Gemma 3 12B (free) (2026) are compact production models from Fireworks AI and Google DeepMind. Firefunction V2 ships a 32K-token context window, while Gemma 3 12B (free) ships a 33K-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. The goal is to make the tradeoff clear before deeper testing.

Gemma 3 12B (free) is safer overall; choose Firefunction V2 when provider fit matters.

Decision scorecard

Local evidence first
SignalFirefunction V2Gemma 3 12B (free)
Decision fitGeneralClassification and JSON / Tool use
Context window32K33K
Cheapest output-$0.13/1M tokens
Provider routes1 tracked3 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Firefunction V2 when...
  • Use Firefunction V2 when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Choose Gemma 3 12B (free) when...
  • Gemma 3 12B (free) has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemma 3 12B (free) has broader tracked provider coverage for fallback and procurement flexibility.
  • Gemma 3 12B (free) uniquely exposes Structured outputs in local model data.
  • Local decision data tags Gemma 3 12B (free) for Classification and JSON / Tool use.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Firefunction V2

Unavailable

No complete token price in local provider data

Gemma 3 12B (free)

$64.50

Cheapest tracked route: OpenRouter

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Firefunction V2 -> Gemma 3 12B (free)
  • No overlapping tracked provider route is sourced for Firefunction V2 and Gemma 3 12B (free); plan for SDK, billing, or endpoint changes.
  • Gemma 3 12B (free) adds Structured outputs in local capability data.
Gemma 3 12B (free) -> Firefunction V2
  • No overlapping tracked provider route is sourced for Gemma 3 12B (free) and Firefunction V2; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Structured outputs before moving production traffic.

Specs

Specification
Released2024-01-292026-01-01
Context window32K33K
Parameters70B
Architecturedecoder onlydecoder only
LicenseUnknownOpen Source
Knowledge cutoff-2024-08

Pricing and availability

Pricing attributeFirefunction V2Gemma 3 12B (free)
Input price-$0.04/1M tokens
Output price-$0.13/1M tokens
Providers

Capabilities

CapabilityFirefunction V2Gemma 3 12B (free)
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on structured outputs: Gemma 3 12B (free). 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: Firefunction V2 has no token price sourced yet and Gemma 3 12B (free) has $0.04/1M input tokens. Provider availability is 1 tracked routes versus 3. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Firefunction V2 when provider fit are central to the workload. Choose Gemma 3 12B (free) 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. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, Firefunction V2 or Gemma 3 12B (free)?

Gemma 3 12B (free) supports 33K tokens, while Firefunction V2 supports 32K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Firefunction V2 or Gemma 3 12B (free) open source?

Firefunction V2 is listed under Unknown. Gemma 3 12B (free) 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 structured outputs, Firefunction V2 or Gemma 3 12B (free)?

Gemma 3 12B (free) 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 Firefunction V2 and Gemma 3 12B (free)?

Firefunction V2 is available on Fireworks AI. Gemma 3 12B (free) is available on AWS Bedrock, OpenRouter, and GCP Vertex AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Firefunction V2 over Gemma 3 12B (free)?

Gemma 3 12B (free) is safer overall; choose Firefunction V2 when provider fit matters. If your workload also depends on provider fit, start with Firefunction V2; if it depends on long-context analysis, run the same evaluation with Gemma 3 12B (free).

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.