Gemma 3 12B vs Mistral Small 3.2 24B
Gemma 3 12B (2026) and Mistral Small 3.2 24B (2025) are compact production models from Google DeepMind and MistralAI. Gemma 3 12B ships a 33k-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. It focuses on practical selection signals rather than broad model-family marketing.
Gemma 3 12B is safer overall; choose Mistral Small 3.2 24B when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Gemma 3 12B | Mistral Small 3.2 24B |
|---|---|---|
| Best for | provider-routed production | multimodal apps and tool-calling agents |
| Decision fit | Classification and JSON / Tool use | Coding, RAG, and Agents |
| Context window | 33k | 128k |
| Cheapest output | $0.13/1M tokens | - |
| Provider routes | 5 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- 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.
- 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 3 12B
$64.50
Cheapest tracked route/tier: OpenRouter
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
- No overlapping tracked provider route is sourced for Gemma 3 12B 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.
- No overlapping tracked provider route is sourced for Mistral Small 3.2 24B and Gemma 3 12B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-01-01 | 2025-06-01 |
| Context window | 33k | 128k |
| Parameters | 12B | 24B |
| Architecture | decoder only | decoder only |
| License | Gemma | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2024-08 | 2023-10 |
Pricing and availability
| Pricing attribute | Gemma 3 12B | Mistral Small 3.2 24B |
|---|---|---|
| Input price | $0.04/1M tokens | - |
| Output price | $0.13/1M tokens | - |
| Providers |
Capabilities
| Capability | Gemma 3 12B | Mistral Small 3.2 24B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
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, and code execution: Mistral Small 3.2 24B. Both models share structured outputs, 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 3 12B has $0.04/1M input tokens and Mistral Small 3.2 24B has no token price sourced yet. Provider availability is 5 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 3 12B when provider fit and broader provider choice 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, Gemma 3 12B or Mistral Small 3.2 24B?
Mistral Small 3.2 24B supports 128k tokens, while Gemma 3 12B supports 33k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Gemma 3 12B or Mistral Small 3.2 24B open source?
Gemma 3 12B 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 3 12B 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 3 12B 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 3 12B 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 3 12B and Mistral Small 3.2 24B?
Gemma 3 12B is available on Cloudflare Workers AI, AWS Bedrock, OpenRouter, GCP Vertex AI, and Novita AI. Mistral Small 3.2 24B is available on Venice AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.