LLM Reference

Gemma 3 12B Instruct vs Mistral Small 4

Gemma 3 12B Instruct (2025) and Mistral Small 4 (2026) are compact production models from Google DeepMind and MistralAI. Gemma 3 12B Instruct ships a 128k-token context window, while Mistral Small 4 ships a 256k-token context window. On pricing, Mistral Small 4 costs $0.15/1M input tokens versus $0.20/1M 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.

Mistral Small 4 is safer overall; choose Gemma 3 12B Instruct when provider fit matters.

Decision scorecard

Local evidence first
SignalGemma 3 12B InstructMistral Small 4
Best forgeneral production evaluationmultimodal apps, tool-calling agents, and provider-routed production
Decision fitLong contextRAG, Agents, and Long context
Context window128k256k
Cheapest output$0.20/1M tokens$0.60/1M tokens
Provider routes1 tracked3 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemma 3 12B Instruct when...
  • Gemma 3 12B Instruct has the lower cheapest tracked output price at $0.20/1M tokens.
  • Local decision data tags Gemma 3 12B Instruct for Long context.
Choose Mistral Small 4 when...
  • Mistral Small 4 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Mistral Small 4 has broader tracked provider coverage for fallback and procurement flexibility.
  • Mistral Small 4 uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags Mistral Small 4 for RAG, Agents, and Long context.

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 Instruct

Gemma 3 12B Instruct

$210

Cheapest tracked route/tier: Fireworks AI

Mistral Small 4

$270

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $60.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemma 3 12B Instruct -> Mistral Small 4
  • No overlapping tracked provider route is sourced for Gemma 3 12B Instruct and Mistral Small 4; plan for SDK, billing, or endpoint changes.
  • Mistral Small 4 is $0.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Mistral Small 4 adds Vision, Multimodal, and Function calling in local capability data.
Mistral Small 4 -> Gemma 3 12B Instruct
  • No overlapping tracked provider route is sourced for Mistral Small 4 and Gemma 3 12B Instruct; plan for SDK, billing, or endpoint changes.
  • Gemma 3 12B Instruct is $0.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.

Specs

Specification
Released2025-01-012026-03-16
Context window128k256k
Parameters12B119B (6.5B active)
Architecturedecoder onlymoe
LicenseGemmaApache 2.0(OSI)
OpennessOpen weightsOpen source
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff2024-082025-06

Pricing and availability

Pricing attributeGemma 3 12B InstructMistral Small 4
Input price$0.20/1M tokens$0.15/1M tokens
Output price$0.20/1M tokens$0.60/1M tokens
Providers

Capabilities

CapabilityGemma 3 12B InstructMistral Small 4
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Mistral Small 4, multimodal input: Mistral Small 4, function calling: Mistral Small 4, and tool use: Mistral Small 4. 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 12B Instruct lists $0.20/1M input and $0.20/1M output tokens on the cheapest tracked provider, while Mistral Small 4 lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3 12B Instruct lower by about $0.08 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.

Choose Gemma 3 12B Instruct when provider fit are central to the workload. Choose Mistral Small 4 when long-context analysis, larger context windows, and lower input-token cost 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.

FAQ

Which has a larger context window, Gemma 3 12B Instruct or Mistral Small 4?

Mistral Small 4 supports 256k tokens, while Gemma 3 12B Instruct supports 128k 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 Instruct or Mistral Small 4?

Gemma 3 12B Instruct is cheaper on tracked token pricing. Gemma 3 12B Instruct costs $0.20/1M input and $0.20/1M output tokens. Mistral Small 4 costs $0.15/1M input and $0.60/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemma 3 12B Instruct or Mistral Small 4 open source?

Gemma 3 12B Instruct is listed under Gemma. Mistral Small 4 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 vision, Gemma 3 12B Instruct or Mistral Small 4?

Mistral Small 4 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, Gemma 3 12B Instruct or Mistral Small 4?

Mistral Small 4 has the clearer documented multimodal input signal in this comparison. If multimodal input 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 12B Instruct and Mistral Small 4?

Gemma 3 12B Instruct is available on Fireworks AI. Mistral Small 4 is available on OpenRouter, NVIDIA NIM, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.