LLM Reference

Gemma 3 12B vs Mistral Medium

Gemma 3 12B (2026) and Mistral Medium (2023) are compact production models from Google DeepMind and MistralAI. Gemma 3 12B ships a 33k-token context window, while Mistral Medium ships a 32k-token context window. On pricing, Gemma 3 12B costs $0.04/1M input tokens versus $0.40/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Gemma 3 12B is ~900% cheaper at $0.04/1M; pay for Mistral Medium only for provider fit.

Decision scorecard

Local evidence first
SignalGemma 3 12BMistral Medium
Best forprovider-routed productionprovider-routed production
Decision fitClassification and JSON / Tool useCoding, Classification, and JSON / Tool use
Context window33k32k
Cheapest output$0.13/1M tokens$2/1M tokens
Provider routes5 tracked2 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose Gemma 3 12B when...
  • Gemma 3 12B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemma 3 12B has the lower cheapest tracked output price at $0.13/1M tokens.
  • Gemma 3 12B has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags Gemma 3 12B for Classification and JSON / Tool use.
Choose Mistral Medium when...
  • Local decision data tags Mistral Medium for Coding, Classification, and JSON / Tool use.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Gemma 3 12B

Gemma 3 12B

$64.50

Cheapest tracked route/tier: OpenRouter

Mistral Medium

$820

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $756. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemma 3 12B -> Mistral Medium
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Mistral Medium is $1.87/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Mistral Medium -> Gemma 3 12B
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Gemma 3 12B is $1.87/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.

Specs

Specification
Released2026-01-012023-12-11
Context window33k32k
Parameters12B
ArchitectureDecoder OnlyDecoder Only
LicenseGemmaProprietary
OpennessOpen weightsProprietary
Commercial useCommercial use: conditionalCommercial use: conditional
Knowledge cutoff2024-08-

Pricing and availability

Pricing attributeGemma 3 12BMistral Medium
Input price$0.04/1M tokens$0.40/1M tokens
Output price$0.13/1M tokens$2/1M tokens
Providers

Capabilities

CapabilityGemma 3 12BMistral Medium
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Deep dive

The capability footprint is close: both models cover structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.

For cost, Gemma 3 12B lists $0.04/1M input and $0.13/1M output tokens on the cheapest tracked provider, while Mistral Medium lists $0.40/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3 12B lower by about $0.81 per million blended tokens. Availability is 5 providers versus 2, so concentration risk also matters.

Choose Gemma 3 12B when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Mistral Medium 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 has a larger context window, Gemma 3 12B or Mistral Medium?

Gemma 3 12B supports 33k tokens, while Mistral Medium supports 32k 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 3 12B or Mistral Medium?

Gemma 3 12B is cheaper on tracked token pricing. Gemma 3 12B costs $0.04/1M input and $0.13/1M output tokens. Mistral Medium costs $0.40/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemma 3 12B or Mistral Medium open source?

Gemma 3 12B is listed under Gemma. Mistral Medium 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 3 12B or Mistral Medium?

Both Gemma 3 12B and Mistral Medium expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Gemma 3 12B and Mistral Medium?

Gemma 3 12B is available on Cloudflare Workers AI, AWS Bedrock, OpenRouter, GCP Vertex AI, and Novita AI. Mistral Medium is available on Mistral AI Studio and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Gemma 3 12B over Mistral Medium?

Gemma 3 12B is ~900% cheaper at $0.04/1M; pay for Mistral Medium only for provider fit. If your workload also depends on long-context analysis, start with Gemma 3 12B; if it depends on provider fit, run the same evaluation with Mistral Medium.

Continue comparing

Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.