Gemma 3 12B vs Mistral Large
Gemma 3 12B (2026) and Mistral Large (2024) are compact production models from Google DeepMind and MistralAI. Gemma 3 12B ships a 33k-token context window, while Mistral Large ships a 32k-token context window. On pricing, Gemma 3 12B costs $0.04/1M input tokens versus $0.32/1M 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 ~700% cheaper at $0.04/1M; pay for Mistral Large only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Gemma 3 12B | Mistral Large |
|---|---|---|
| Best for | provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Classification and JSON / Tool use | Agents, Vision, and Classification |
| Context window | 33k | 32k |
| Cheapest output | $0.13/1M tokens | $0.96/1M tokens |
| Provider routes | 5 tracked | 8 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- 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.
- Local decision data tags Gemma 3 12B for Classification and JSON / Tool use.
- Mistral Large has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large uniquely exposes Vision, Function calling, and Tool use in local model data.
- Local decision data tags Mistral Large for Agents, Vision, and Classification.
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 Large
$496
Cheapest tracked route/tier: GCP Vertex AI
Estimated monthly gap: $432. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock, OpenRouter, and GCP Vertex AI; start route-level A/B tests there.
- Mistral Large is $0.83/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Large adds Vision, Function calling, and Tool use in local capability data.
- Provider overlap exists on AWS Bedrock, OpenRouter, and GCP Vertex AI; start route-level A/B tests there.
- Gemma 3 12B is $0.83/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Function calling, and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-01-01 | 2024-02-08 |
| Context window | 33k | 32k |
| Parameters | 12B | 123B |
| Architecture | Decoder Only | - |
| License | Gemma | Mistral License |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: non-commercial |
| Knowledge cutoff | 2024-08 | 2024-03 |
Pricing and availability
| Pricing attribute | Gemma 3 12B | Mistral Large |
|---|---|---|
| Input price | $0.04/1M tokens | $0.32/1M tokens |
| Output price | $0.13/1M tokens | $0.96/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 3 12B | Mistral Large |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | 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 vision: Mistral Large, function calling: Mistral Large, and tool use: Mistral Large. 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, Gemma 3 12B lists $0.04/1M input and $0.13/1M output tokens on the cheapest tracked provider, while Mistral Large lists $0.32/1M input and $0.96/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3 12B lower by about $0.45 per million blended tokens. Availability is 5 providers versus 8, 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 Large when vision-heavy evaluation and broader provider choice 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 Large?
Gemma 3 12B supports 33k tokens, while Mistral Large 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 Large?
Gemma 3 12B is cheaper on tracked token pricing. Gemma 3 12B costs $0.04/1M input and $0.13/1M output tokens. Mistral Large costs $0.32/1M input and $0.96/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemma 3 12B or Mistral Large open source?
Gemma 3 12B is listed under Gemma. Mistral Large is listed under Mistral License. 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 Large?
Mistral Large 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for function calling, Gemma 3 12B or Mistral Large?
Mistral Large 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 Large?
Gemma 3 12B is available on Cloudflare Workers AI, AWS Bedrock, OpenRouter, GCP Vertex AI, and Novita AI. Mistral Large is available on NVIDIA NIM, Microsoft Foundry, AWS Bedrock, Mistral AI Studio, and IBM watsonx. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-16. Data sourced from public model cards and provider documentation.