LLM ReferenceLLM Reference

Gemma 3 vs Mistral NeMo Instruct (2407)

Gemma 3 (2025) and Mistral NeMo Instruct (2407) (2024) are compact production models from Google DeepMind and MistralAI. Gemma 3 ships a not-yet-sourced context window, while Mistral NeMo Instruct (2407) ships a 128K-token context window. On pricing, Mistral NeMo Instruct (2407) costs $0.02/1M input tokens versus $0.04/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Mistral NeMo Instruct (2407) is ~100% cheaper at $0.02/1M; pay for Gemma 3 only for provider fit.

Decision scorecard

Local evidence first
SignalGemma 3Mistral NeMo Instruct (2407)
Decision fitClassification and JSON / Tool useCoding, Long context, and Classification
Context window128K
Cheapest output$0.08/1M tokens$0.04/1M tokens
Provider routes3 tracked7 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemma 3 when...
  • Gemma 3 uniquely exposes Structured outputs in local model data.
  • Local decision data tags Gemma 3 for Classification and JSON / Tool use.
Choose Mistral NeMo Instruct (2407) when...
  • Mistral NeMo Instruct (2407) has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Mistral NeMo Instruct (2407) has the lower cheapest tracked output price at $0.04/1M tokens.
  • 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.

Lower estimate Mistral NeMo Instruct (2407)

Gemma 3

$52.00

Cheapest tracked route: OpenRouter

Mistral NeMo Instruct (2407)

$26.00

Cheapest tracked route: DeepInfra

Estimated monthly gap: $26.00. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemma 3 -> Mistral NeMo Instruct (2407)
  • No overlapping tracked provider route is sourced for Gemma 3 and Mistral NeMo Instruct (2407); plan for SDK, billing, or endpoint changes.
  • Mistral NeMo Instruct (2407) is $0.04/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Structured outputs before moving production traffic.
Mistral NeMo Instruct (2407) -> Gemma 3
  • No overlapping tracked provider route is sourced for Mistral NeMo Instruct (2407) and Gemma 3; plan for SDK, billing, or endpoint changes.
  • Gemma 3 is $0.04/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Gemma 3 adds Structured outputs in local capability data.

Specs

Specification
Released2025-03-122024-07-18
Context window128K
Parameters12B
Architecturedecoder onlydecoder only
LicenseOpen SourceApache 2.0
Knowledge cutoff--

Pricing and availability

Pricing attributeGemma 3Mistral NeMo Instruct (2407)
Input price$0.04/1M tokens$0.02/1M tokens
Output price$0.08/1M tokens$0.04/1M tokens
Providers

Capabilities

CapabilityGemma 3Mistral NeMo Instruct (2407)
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
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. 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 3 lists $0.04/1M input and $0.08/1M 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 Mistral NeMo Instruct (2407) lower by about $0.03 per million blended tokens. Availability is 3 providers versus 7, so concentration risk also matters.

Choose Gemma 3 when provider fit are central to the workload. Choose Mistral NeMo Instruct (2407) when provider fit, lower input-token cost, 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 is cheaper, Gemma 3 or Mistral NeMo Instruct (2407)?

Mistral NeMo Instruct (2407) is cheaper on tracked token pricing. Gemma 3 costs $0.04/1M input and $0.08/1M 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 3 or Mistral NeMo Instruct (2407) open source?

Gemma 3 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 3 or Mistral NeMo Instruct (2407)?

Gemma 3 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 3 and Mistral NeMo Instruct (2407)?

Gemma 3 is available on OpenRouter, Google AI Studio, and GCP Vertex AI. 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 3 over Mistral NeMo Instruct (2407)?

Mistral NeMo Instruct (2407) is ~100% cheaper at $0.02/1M; pay for Gemma 3 only for provider fit. If your workload also depends on provider fit, start with Gemma 3; if it depends on provider fit, 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.