Gemma 4 E4B vs Ministral 3 14B Instruct 2512
At a Glance
| Compare |  Gemma 4 E4BGoogle DeepMind |  Ministral 3 14B Instruct 2512Mistral AI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.020Deepinfra ↗ · Sep 21, 2026 | $0.20Openrouter ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $0.10Deepinfra ↗ · Sep 21, 2026 | $0.20Openrouter ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 131K | 262K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Gemma 4 E4B | Ministral-3-14B-Instruct-2512 |
|---|---|---|
| Developer | Google DeepMind | Mistral AI |
| Family | Gemma 4 | Ministral 3 14b Instruct 2512 |
| Model | Gemma 4 E4B | Ministral-3-14B-Instruct-2512 |
| Version | Gemma 4 E4B | Ministral-3-14B-Instruct-2512 |
| Lifecycle | active | active |
| Released | 2026-03-02 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text, Image |
| Output modalities | Text | Text |
| Context window | 131K | 262K |
| Total parameters | Unknown | 13.9B |
| 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 | Deepinfra (Standard), Together Ai (Standard) | Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, tools |
Gemma 4 E4B Capabilities
Ministral 3 14B Instruct 2512 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemma 4 E4B vs Ministral 3 14B Instruct 2512 FAQs
Is Gemma 4 E4B or Ministral 3 14B Instruct 2512 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E4B 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 E4B or Ministral 3 14B Instruct 2512?+
Gemma 4 E4B is $0.020 and Ministral 3 14B Instruct 2512 is $0.20 per million tokens, so Gemma 4 E4B is cheaper on this metric. Gemma 4 E4B is $0.10 and Ministral 3 14B Instruct 2512 is $0.20 per million tokens, so Gemma 4 E4B is cheaper on this metric.
Which has a larger context window, Gemma 4 E4B or Ministral 3 14B Instruct 2512?+
Ministral 3 14B Instruct 2512 has the larger sourced context window. Gemma 4 E4B supports 131K and Ministral 3 14B Instruct 2512 supports 262K.
Which performs better in benchmarks, Gemma 4 E4B 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 E4B or Ministral 3 14B Instruct 2512 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Gemma 4 E4B is open weight; Ministral 3 14B Instruct 2512 is open weight.
Can Gemma 4 E4B and Ministral 3 14B Instruct 2512 understand images?+
Gemma 4 E4B 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 E4B or Ministral 3 14B Instruct 2512?+
Neither has a larger sourced maximum output. Gemma 4 E4B is — and Ministral 3 14B Instruct 2512 is —.
Do Gemma 4 E4B and Ministral 3 14B Instruct 2512 support reasoning and tool use?+
Gemma 4 E4B: 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 E4B or Ministral 3 14B Instruct 2512?+
Gemma 4 E4B has 2 sourced provider routes; Ministral 3 14B Instruct 2512 has 2, a tie.
Which offers better value, Gemma 4 E4B 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.