Gemma 3n 4B (free) vs Mistral NeMo Instruct (2407)
Gemma 3n 4B (free) (2025) and Mistral NeMo Instruct (2407) (2024) are compact production models from Google DeepMind and MistralAI. Gemma 3n 4B (free) ships a 8K-token context window, while Mistral NeMo Instruct (2407) ships a 128K-token context window. On pricing, Gemma 3n 4B (free) costs $0.02/1M input tokens versus $0.02/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral NeMo Instruct (2407) fits 16x more tokens; pick it for long-context work and Gemma 3n 4B (free) for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemma 3n 4B (free) | Mistral NeMo Instruct (2407) |
|---|---|---|
| Decision fit | Classification and JSON / Tool use | Coding, Long context, and Classification |
| Context window | 8K | 128K |
| Cheapest output | $0.04/1M tokens | $0.04/1M tokens |
| Provider routes | 3 tracked | 7 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemma 3n 4B (free) uniquely exposes Structured outputs in local model data.
- Local decision data tags Gemma 3n 4B (free) for Classification and JSON / Tool use.
- Mistral NeMo Instruct (2407) has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral NeMo Instruct (2407) has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Mistral NeMo Instruct (2407) for Coding, Long context, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Gemma 3n 4B (free)
$26.00
Cheapest tracked route: Together AI
Mistral NeMo Instruct (2407)
$26.00
Cheapest tracked route: DeepInfra
Estimated monthly gap: $0.00. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Check replacement coverage for Structured outputs before moving production traffic.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Gemma 3n 4B (free) adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-03 | 2024-07-18 |
| Context window | 8K | 128K |
| Parameters | — | 12B |
| Architecture | decoder only | decoder only |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Gemma 3n 4B (free) | Mistral NeMo Instruct (2407) |
|---|---|---|
| Input price | $0.02/1M tokens | $0.02/1M tokens |
| Output price | $0.04/1M tokens | $0.04/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 3n 4B (free) | Mistral NeMo Instruct (2407) |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| 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 structured outputs: Gemma 3n 4B (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.
For cost, Gemma 3n 4B (free) lists $0.02/1M input and $0.04/1M output tokens, while Mistral NeMo Instruct (2407) lists $0.02/1M input and $0.04/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3n 4B (free) lower by about $0 per million blended tokens. Availability is 3 providers versus 7, so concentration risk also matters.
Choose Gemma 3n 4B (free) when provider fit are central to the workload. Choose Mistral NeMo Instruct (2407) 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.
FAQ
Which has a larger context window, Gemma 3n 4B (free) or Mistral NeMo Instruct (2407)?
Mistral NeMo Instruct (2407) supports 128K tokens, while Gemma 3n 4B (free) 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, Gemma 3n 4B (free) or Mistral NeMo Instruct (2407)?
Gemma 3n 4B (free) is cheaper on tracked token pricing. Gemma 3n 4B (free) costs $0.02/1M input and $0.04/1M output tokens. Mistral NeMo Instruct (2407) costs $0.02/1M input and $0.04/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemma 3n 4B (free) or Mistral NeMo Instruct (2407) open source?
Gemma 3n 4B (free) is listed under Open Source. Mistral NeMo Instruct (2407) is listed under Apache 2.0. 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, Gemma 3n 4B (free) or Mistral NeMo Instruct (2407)?
Gemma 3n 4B (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 Gemma 3n 4B (free) and Mistral NeMo Instruct (2407)?
Gemma 3n 4B (free) is available on NVIDIA NIM, Together AI, and OpenRouter. Mistral NeMo Instruct (2407) is available on NVIDIA NIM, Microsoft Foundry, DeepInfra, Fireworks AI, and Arcee AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Gemma 3n 4B (free) over Mistral NeMo Instruct (2407)?
Mistral NeMo Instruct (2407) fits 16x more tokens; pick it for long-context work and Gemma 3n 4B (free) for tighter calls. If your workload also depends on provider fit, start with Gemma 3n 4B (free); if it depends on long-context analysis, run the same evaluation with Mistral NeMo Instruct (2407).
Continue comparing
Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.