Gemma 4 26B A4B vs Ministral 3 8B Instruct 2512
At a Glance
| Compare |  Gemma 4 26B A4BGoogle DeepMind |  Ministral 3 8B Instruct 2512Mistral AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #26 of 5747.4 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 15.8–82.5 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.070Deepinfra ↗ · Oct 19, 2026 | $0.15Openrouter ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $0.30Openrouter ↗ · Oct 19, 2026 | $0.15Openrouter ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 262K | 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 26B-A4B | Ministral-3-8B-Instruct-2512 |
|---|---|---|
| Developer | Google DeepMind | Mistral AI |
| Family | Gemma 4 | Ministral 3 8b Instruct 2512 |
| Model | Gemma 4 26B-A4B | Ministral-3-8B-Instruct-2512 |
| Version | Gemma 4 26B-A4B | Ministral-3-8B-Instruct-2512 |
| Lifecycle | active | active |
| Released | 2026-03-11 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 262K |
| Total parameters | 26B | 8.9B |
| Active parameters | 4B | Unknown |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard) | Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, tools |
Gemma 4 26B A4B Capabilities
Ministral 3 8B Instruct 2512 Capabilities
Related Comparisons
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Gemma 4 26B-A4BGoogle DeepMind | vs |  Muse Glimmer 30BMeta | cross-developer peersimage, text |
Gemma 4 26B-A4BGoogle DeepMind | vs | Ministral-3-3B-Reasoning-2512Mistral AI | cross-developer peersimage, text |
Gemma 4 26B-A4BGoogle DeepMind | vs | Ministral-3-8B-Base-2512Mistral AI | cross-developer peersimage, text |
Gemma 4 26B-A4BGoogle DeepMind | vs | Ministral-3-8B-Reasoning-2512Mistral AI | cross-developer peersimage, text |
Gemma 4 26B-A4BGoogle DeepMind | vs |  GPT-5.4 MiniOpenAI | cross-developer peersimage, text |
Gemma 4 26B-A4BGoogle DeepMind | vs | GPT-5.4 NanoOpenAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Gemma 4 26B A4B vs Ministral 3 8B Instruct 2512 FAQs
Is Gemma 4 26B A4B or Ministral 3 8B Instruct 2512 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 26B A4B and Ministral 3 8B Instruct 2512, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 26B A4B or Ministral 3 8B Instruct 2512?+
Gemma 4 26B A4B is $0.0675 and Ministral 3 8B Instruct 2512 is $0.15 per million tokens, so Gemma 4 26B A4B is cheaper on this metric. Gemma 4 26B A4B is $0.225 and Ministral 3 8B Instruct 2512 is $0.15 per million tokens, so Ministral 3 8B Instruct 2512 is cheaper on this metric.
Which has a larger context window, Gemma 4 26B A4B or Ministral 3 8B Instruct 2512?+
Both models have the same sourced context window: 262,144 tokens each.
Which performs better in benchmarks, Gemma 4 26B A4B or Ministral 3 8B 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 26B A4B or Ministral 3 8B Instruct 2512 be self-hosted?+
Both models have the same sourced self-hosting status: supported. Gemma 4 26B A4B is open weight; Ministral 3 8B Instruct 2512 is open weight.
Can Gemma 4 26B A4B and Ministral 3 8B Instruct 2512 understand images?+
Gemma 4 26B A4B is documented with image input; Ministral 3 8B Instruct 2512 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 26B A4B or Ministral 3 8B Instruct 2512?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do Gemma 4 26B A4B and Ministral 3 8B Instruct 2512 support reasoning and tool use?+
Gemma 4 26B A4B: reasoning, tool calling, and image input. Ministral 3 8B Instruct 2512: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemma 4 26B A4B or Ministral 3 8B Instruct 2512?+
Gemma 4 26B A4B has 4 sourced provider routes; Ministral 3 8B Instruct 2512 has 1, so Gemma 4 26B A4B has broader tracked availability.
Which offers better value, Gemma 4 26B A4B or Ministral 3 8B 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.