DeepSeek V3.2 vs Gemma 3 12B
DeepSeek V3.2 (2025) and Gemma 3 12B (2026) are compact production models from DeepSeek and Google DeepMind. DeepSeek V3.2 ships a 160k-token context window, while Gemma 3 12B ships a 33k-token context window. On pricing, Gemma 3 12B costs $0.04/1M input tokens versus $0.25/1M 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 ~530% cheaper at $0.04/1M; pay for DeepSeek V3.2 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | DeepSeek V3.2 | Gemma 3 12B |
|---|---|---|
| Best for | provider-routed production | provider-routed production |
| Decision fit | Coding, RAG, and Agents | Classification and JSON / Tool use |
| Context window | 160k | 33k |
| Cheapest output | $0.38/1M tokens | $0.13/1M tokens |
| Provider routes | 7 tracked | 5 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- DeepSeek V3.2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek V3.2 has broader tracked provider coverage for fallback and procurement flexibility.
- DeepSeek V3.2 uniquely exposes Code execution in local model data.
- Local decision data tags DeepSeek V3.2 for Coding, RAG, and Agents.
- Gemma 3 12B has the lower cheapest tracked output price at $0.13/1M tokens.
- Local decision data tags Gemma 3 12B for 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.
DeepSeek V3.2
$296
Cheapest tracked route/tier: OpenRouter
Gemma 3 12B
$64.50
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $232. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock, OpenRouter, and Novita AI; start route-level A/B tests there.
- Gemma 3 12B is $0.25/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Provider overlap exists on AWS Bedrock, OpenRouter, and Novita AI; start route-level A/B tests there.
- DeepSeek V3.2 is $0.25/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- DeepSeek V3.2 adds Code execution in local capability data.
Specs
Pricing and availability
| Pricing attribute | DeepSeek V3.2 | Gemma 3 12B |
|---|---|---|
| Input price | $0.25/1M tokens | $0.04/1M tokens |
| Output price | $0.38/1M tokens | $0.13/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3.2 | Gemma 3 12B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on code execution: DeepSeek V3.2. 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.
For cost, DeepSeek V3.2 lists $0.25/1M input and $0.38/1M output tokens on the cheapest tracked provider, while Gemma 3 12B lists $0.04/1M input and $0.13/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3 12B lower by about $0.22 per million blended tokens. Availability is 7 providers versus 5, so concentration risk also matters.
Choose DeepSeek V3.2 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Gemma 3 12B when provider fit 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. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, DeepSeek V3.2 or Gemma 3 12B?
DeepSeek V3.2 supports 160k 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.
Which is cheaper, DeepSeek V3.2 or Gemma 3 12B?
Gemma 3 12B is cheaper on tracked token pricing. DeepSeek V3.2 costs $0.25/1M input and $0.38/1M output tokens. Gemma 3 12B costs $0.04/1M input and $0.13/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3.2 or Gemma 3 12B open source?
DeepSeek V3.2 is listed under MIT. Gemma 3 12B is listed under Gemma. 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, DeepSeek V3.2 or Gemma 3 12B?
Both DeepSeek V3.2 and Gemma 3 12B expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for code execution, DeepSeek V3.2 or Gemma 3 12B?
DeepSeek V3.2 has the clearer documented code execution signal in this comparison. If code execution is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek V3.2 and Gemma 3 12B?
DeepSeek V3.2 is available on Fireworks AI, NVIDIA NIM, AWS Bedrock, OpenRouter, and Microsoft Foundry. Gemma 3 12B is available on Cloudflare Workers AI, AWS Bedrock, OpenRouter, GCP Vertex AI, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.