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Gemma 2 9B vs Mistral Magistral Small 2509

Gemma 2 9B (2024) and Mistral Magistral Small 2509 (2025) are compact production models from Google DeepMind and MistralAI. Gemma 2 9B ships a 8K-token context window, while Mistral Magistral Small 2509 ships a not-yet-sourced context window. On pricing, Gemma 2 9B costs $0.06/1M input tokens versus $0.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Gemma 2 9B is ~733% cheaper at $0.06/1M; pay for Mistral Magistral Small 2509 only for provider fit.

Decision scorecard

Local evidence first
SignalGemma 2 9BMistral Magistral Small 2509
Decision fitCoding, Classification, and JSON / Tool useGeneral
Context window8K
Cheapest output$0.18/1M tokens$1.5/1M tokens
Provider routes3 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemma 2 9B when...
  • Gemma 2 9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemma 2 9B has the lower cheapest tracked output price at $0.18/1M tokens.
  • 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.
Choose Mistral Magistral Small 2509 when...
  • Use Mistral Magistral Small 2509 when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.

Monthly cost at traffic

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

Lower estimate Gemma 2 9B

Gemma 2 9B

$93.00

Cheapest tracked route: GCP Vertex AI

Mistral Magistral Small 2509

$775

Cheapest tracked route: AWS Bedrock

Estimated monthly gap: $682. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemma 2 9B -> Mistral Magistral Small 2509
  • No overlapping tracked provider route is sourced for Gemma 2 9B and Mistral Magistral Small 2509; plan for SDK, billing, or endpoint changes.
  • Mistral Magistral Small 2509 is $1.32/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Structured outputs before moving production traffic.
Mistral Magistral Small 2509 -> Gemma 2 9B
  • No overlapping tracked provider route is sourced for Mistral Magistral Small 2509 and Gemma 2 9B; plan for SDK, billing, or endpoint changes.
  • Gemma 2 9B is $1.32/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Gemma 2 9B adds Structured outputs in local capability data.

Specs

Specification
Released2024-06-272025-09-01
Context window8K
Parameters9B
Architecturedecoder only-
LicenseOpen SourceProprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeGemma 2 9BMistral Magistral Small 2509
Input price$0.06/1M tokens$0.5/1M tokens
Output price$0.18/1M tokens$1.5/1M tokens
Providers

Capabilities

CapabilityGemma 2 9BMistral Magistral Small 2509
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 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.

For cost, Gemma 2 9B lists $0.06/1M input and $0.18/1M output tokens, while Mistral Magistral Small 2509 lists $0.5/1M input and $1.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 2 9B lower by about $0.7 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.

Choose Gemma 2 9B when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Mistral Magistral Small 2509 when provider fit 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 is cheaper, Gemma 2 9B or Mistral Magistral Small 2509?

Gemma 2 9B is cheaper on tracked token pricing. Gemma 2 9B costs $0.06/1M input and $0.18/1M output tokens. Mistral Magistral Small 2509 costs $0.5/1M input and $1.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemma 2 9B or Mistral Magistral Small 2509 open source?

Gemma 2 9B is listed under Open Source. Mistral Magistral Small 2509 is listed under Proprietary. 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 2 9B or Mistral Magistral Small 2509?

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 Mistral Magistral Small 2509?

Gemma 2 9B is available on GCP Vertex AI, Fireworks AI, and Bitdeer AI. Mistral Magistral Small 2509 is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Gemma 2 9B over Mistral Magistral Small 2509?

Gemma 2 9B is ~733% cheaper at $0.06/1M; pay for Mistral Magistral Small 2509 only for provider fit. If your workload also depends on provider fit, start with Gemma 2 9B; if it depends on provider fit, run the same evaluation with Mistral Magistral Small 2509.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.