Gemma 4 12B vs Ministral-3-14B-Instruct-2512
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Gemma 4 12B | Ministral-3-14B-Instruct-2512 |
|---|---|---|
| Developer | Google DeepMind | Mistral AI |
| Family | Gemma 4 | Ministral 3 14b Instruct 2512 |
| Model | Gemma 4 12B | Ministral-3-14B-Instruct-2512 |
| Version | Gemma 4 12B | Ministral-3-14B-Instruct-2512 |
| Lifecycle | active | active |
| Released | 2026-05-23 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text, Image |
| Output modalities | Text | Text |
| Context window | 262,144 | 262,144 |
| Total parameters | 12,000,000,000 | 13,945,032,240 |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Together Ai (Standard) | Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, tools |
15 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
Gemma 4 12B Capabilities
Ministral-3-14B-Instruct-2512 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Gemma 4 12BGoogle DeepMind | vs | Gemma 4 26B-A4BGoogle DeepMind | family variantsimage, text |
Gemma 4 12BGoogle DeepMind | vs | Gemma 4 E2BGoogle DeepMind | family variantsaudio, image, text, video |
Gemma 4 12BGoogle DeepMind | vs | Gemma 4 E4BGoogle DeepMind | family variantsaudio, image, text, video |
Gemma 4 12BGoogle DeepMind | vs |  Muse Spark 1.2Meta | cross-developer peersaudio, image, text, video |
Gemma 4 12BGoogle DeepMind | vs | Gemma 4 31BGoogle DeepMind | family variantsimage, text |
Ministral-3-14B-Instruct-2512Mistral AI | vs | Ministral-3-14B-Reasoning-2512Mistral AI | family variantsimage, text |
Ministral-3-14B-Instruct-2512Mistral AI | vs | Ministral-3-8B-Instruct-2512Mistral AI | family variantsimage, text |
Ministral-3-14B-Instruct-2512Mistral AI | vs | Ministral-3-3B-Reasoning-2512Mistral AI | family variantsimage, text |
Gemma 4 12BGoogle DeepMind | vs |  o3-proOpenai | cross-developer peersimage, text |
Ministral-3-14B-Base-2512Mistral AI | vs | Ministral-3-14B-Instruct-2512Mistral AI | family variantsimage, text |
Seed 1.8ByteDance Seed | vs | Gemma 4 12BGoogle DeepMind | cross-developer peersimage, text |
Gemma 4 12BGoogle DeepMind | vs | Ministral-3-14B-Reasoning-2512Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Gemma 4 12B vs Ministral-3-14B-Instruct-2512 FAQs
Is Gemma 4 12B or Ministral-3-14B-Instruct-2512 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 12B and Ministral-3-14B-Instruct-2512, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 12B or Ministral-3-14B-Instruct-2512?+
Only Ministral-3-14B-Instruct-2512 has a directly sourced input price: $0.20 per million tokens. Only Ministral-3-14B-Instruct-2512 has a directly sourced output price: $0.20 per million tokens.
Which has a larger context window, Gemma 4 12B or Ministral-3-14B-Instruct-2512?+
Neither model has a larger sourced context window in this comparison. Gemma 4 12B is 262,144 and Ministral-3-14B-Instruct-2512 is 262,144.
Which performs better in benchmarks, Gemma 4 12B or Ministral-3-14B-Instruct-2512?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemma 4 12B or Ministral-3-14B-Instruct-2512 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Gemma 4 12B is open weight; Ministral-3-14B-Instruct-2512 is open weight.
Can Gemma 4 12B and Ministral-3-14B-Instruct-2512 understand images?+
Gemma 4 12B is documented with image input; Ministral-3-14B-Instruct-2512 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 12B or Ministral-3-14B-Instruct-2512?+
Neither has a larger sourced maximum output. Gemma 4 12B is — and Ministral-3-14B-Instruct-2512 is —.
Do Gemma 4 12B and Ministral-3-14B-Instruct-2512 support reasoning and tool use?+
Gemma 4 12B: reasoning, tool calling, and image input. Ministral-3-14B-Instruct-2512: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemma 4 12B or Ministral-3-14B-Instruct-2512?+
Gemma 4 12B has 1 sourced provider route; Ministral-3-14B-Instruct-2512 has 2, so Ministral-3-14B-Instruct-2512 has broader tracked availability.
Which offers better value, Gemma 4 12B or Ministral-3-14B-Instruct-2512?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.