Gemma 2 9B vs Phi-4 Mini Flash Reasoning
Gemma 2 9B (2024) and Phi-4 Mini Flash Reasoning (2025) are frontier reasoning models from Google DeepMind and Microsoft Research. Gemma 2 9B ships a 8K-token context window, while Phi-4 Mini Flash Reasoning ships a 128K-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.
Phi-4 Mini Flash Reasoning fits 16x more tokens; pick it for long-context work and Gemma 2 9B for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemma 2 9B | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Decision fit | Coding, Classification, and JSON / Tool use | Long context |
| Context window | 8K | 128K |
| Cheapest output | $0.18/1M tokens | - |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemma 2 9B has broader tracked provider coverage for fallback and procurement flexibility.
- Gemma 2 9B uniquely exposes Structured outputs in local model data.
- Local decision data tags Gemma 2 9B for Coding, Classification, and JSON / Tool use.
- Phi-4 Mini Flash Reasoning has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Phi-4 Mini Flash Reasoning uniquely exposes Reasoning in local model data.
- Local decision data tags Phi-4 Mini Flash Reasoning for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Gemma 2 9B
$93.00
Cheapest tracked route: GCP Vertex AI
Phi-4 Mini Flash Reasoning
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 Gemma 2 9B and Phi-4 Mini Flash Reasoning; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- Phi-4 Mini Flash Reasoning adds Reasoning in local capability data.
- No overlapping tracked provider route is sourced for Phi-4 Mini Flash Reasoning and Gemma 2 9B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- Gemma 2 9B adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-06-27 | 2025-12-01 |
| Context window | 8K | 128K |
| Parameters | 9B | — |
| Architecture | decoder only | decoder only |
| License | Open Source | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Gemma 2 9B | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Input price | $0.06/1M tokens | - |
| Output price | $0.18/1M tokens | - |
| Providers |
Capabilities
| Capability | Gemma 2 9B | Phi-4 Mini Flash Reasoning |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: Phi-4 Mini Flash Reasoning and structured outputs: Gemma 2 9B. 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: Gemma 2 9B has $0.06/1M input tokens and Phi-4 Mini Flash Reasoning has no token price sourced yet. Provider availability is 3 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Gemma 2 9B when provider fit and broader provider choice are central to the workload. Choose Phi-4 Mini Flash Reasoning 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, Gemma 2 9B or Phi-4 Mini Flash Reasoning?
Phi-4 Mini Flash Reasoning supports 128K tokens, while Gemma 2 9B supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Gemma 2 9B or Phi-4 Mini Flash Reasoning open source?
Gemma 2 9B is listed under Open Source. Phi-4 Mini Flash Reasoning is listed under 1. 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, Gemma 2 9B or Phi-4 Mini Flash Reasoning?
Phi-4 Mini Flash Reasoning 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 structured outputs, Gemma 2 9B or Phi-4 Mini Flash Reasoning?
Gemma 2 9B 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 Gemma 2 9B and Phi-4 Mini Flash Reasoning?
Gemma 2 9B is available on GCP Vertex AI, Fireworks AI, and Bitdeer AI. Phi-4 Mini Flash Reasoning is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Gemma 2 9B over Phi-4 Mini Flash Reasoning?
Phi-4 Mini Flash Reasoning fits 16x more tokens; pick it for long-context work and Gemma 2 9B for tighter calls. If your workload also depends on provider fit, start with Gemma 2 9B; if it depends on reasoning depth, run the same evaluation with Phi-4 Mini Flash Reasoning.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.