LLM Reference

Gemma 3n 2B (free) vs Mistral Small 3.2 24B

Gemma 3n 2B (free) (2025) and Mistral Small 3.2 24B (2025) are compact production models from Google DeepMind and MistralAI. Gemma 3n 2B (free) ships a 8k-token context window, while Mistral Small 3.2 24B ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Mistral Small 3.2 24B fits 16x more tokens; pick it for long-context work and Gemma 3n 2B (free) for tighter calls.

Decision scorecard

Local evidence first
SignalGemma 3n 2B (free)Mistral Small 3.2 24B
Best forgeneral production evaluationmultimodal apps and tool-calling agents
Decision fitGeneralCoding, RAG, and Agents
Context window8k128k
Cheapest output--
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemma 3n 2B (free) when...
  • Use Gemma 3n 2B (free) when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Choose Mistral Small 3.2 24B when...
  • Mistral Small 3.2 24B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Mistral Small 3.2 24B uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags Mistral Small 3.2 24B for Coding, RAG, and Agents.

Monthly cost at traffic

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

Gemma 3n 2B (free)

Unavailable

No complete token price in local provider data

Mistral Small 3.2 24B

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Gemma 3n 2B (free) -> Mistral Small 3.2 24B
  • No overlapping tracked provider route is sourced for Gemma 3n 2B (free) and Mistral Small 3.2 24B; plan for SDK, billing, or endpoint changes.
  • Mistral Small 3.2 24B adds Vision, Multimodal, and Function calling in local capability data.
Mistral Small 3.2 24B -> Gemma 3n 2B (free)
  • No overlapping tracked provider route is sourced for Mistral Small 3.2 24B and Gemma 3n 2B (free); plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.

Specs

Specification
Released2025-04-032025-06-01
Context window8k128k
Parameters5B (2B effective active)24B
Architecturedecoder onlydecoder only
LicenseGemmaApache 2.0(OSI)
OpennessOpen weightsOpen source
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff2024-062023-10

Pricing and availability

Pricing attributeGemma 3n 2B (free)Mistral Small 3.2 24B
Input price--
Output price--
Providers

Pricing not yet sourced for either model.

Capabilities

CapabilityGemma 3n 2B (free)Mistral Small 3.2 24B
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoYes
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 3.2 24B, multimodal input: Mistral Small 3.2 24B, function calling: Mistral Small 3.2 24B, tool use: Mistral Small 3.2 24B, structured outputs: Mistral Small 3.2 24B, and code execution: Mistral Small 3.2 24B. 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.

Pricing coverage is uneven: Gemma 3n 2B (free) has no token price sourced yet and Mistral Small 3.2 24B has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Gemma 3n 2B (free) when provider fit are central to the workload. Choose Mistral Small 3.2 24B when coding workflow support and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, Gemma 3n 2B (free) or Mistral Small 3.2 24B?

Mistral Small 3.2 24B supports 128k tokens, while Gemma 3n 2B (free) supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Gemma 3n 2B (free) or Mistral Small 3.2 24B open source?

Gemma 3n 2B (free) is listed under Gemma. Mistral Small 3.2 24B 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 3n 2B (free) or Mistral Small 3.2 24B?

Mistral Small 3.2 24B 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 3n 2B (free) or Mistral Small 3.2 24B?

Mistral Small 3.2 24B 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.

Which is better for function calling, Gemma 3n 2B (free) or Mistral Small 3.2 24B?

Mistral Small 3.2 24B has the clearer documented function calling signal in this comparison. If function calling 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 2B (free) and Mistral Small 3.2 24B?

Gemma 3n 2B (free) is available on NVIDIA NIM. Mistral Small 3.2 24B is available on Venice AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.