Gemma 4 26B-A4B vs Ministral-3-3B-Reasoning-2512
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Gemma 4 26B-A4B | Ministral-3-3B-Reasoning-2512 |
|---|---|---|
| Developer | Google Deepmind | Mistral AI |
| Family | Gemma 4 | Ministral 3 3b Reasoning 2512 |
| Model | Gemma 4 26B-A4B | Ministral-3-3B-Reasoning-2512 |
| Version | Gemma 4 26B-A4B | Ministral-3-3B-Reasoning-2512 |
| Lifecycle | active | active |
| Released | 2026-03-11 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Unknown | Text, Image |
| Output modalities | Unknown | Text |
| Context window | 262,144 | 262,144 |
| Total parameters | 26,000,000,000 | 4,251,743,232 |
| Active parameters | 4,000,000,000 | Unknown |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, tools |
11 comparable fields · 6 material differences · Interactive comparison only; indexing gate not met
Gemma 4 26B-A4B Capabilities
Ministral-3-3B-Reasoning-2512 Capabilities
Internal Comparison Graph
Related Comparisons
Primary Evidence
Sources and Freshness
Questions
Gemma 4 26B-A4B vs Ministral-3-3B-Reasoning-2512 FAQs
Is Gemma 4 26B-A4B or Ministral-3-3B-Reasoning-2512 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 26B-A4B and Ministral-3-3B-Reasoning-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-3-3B-Reasoning-2512?+
Only Gemma 4 26B-A4B has a directly sourced input price: $0.070 per million tokens. Only Gemma 4 26B-A4B has a directly sourced output price: $0.34 per million tokens.
Which has a larger context window, Gemma 4 26B-A4B or Ministral-3-3B-Reasoning-2512?+
Neither model has a larger sourced context window in this comparison. Gemma 4 26B-A4B is 262,144 and Ministral-3-3B-Reasoning-2512 is 262,144.
Which performs better in benchmarks, Gemma 4 26B-A4B or Ministral-3-3B-Reasoning-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-3-3B-Reasoning-2512 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Gemma 4 26B-A4B is open weight; Ministral-3-3B-Reasoning-2512 is open weight.
Can Gemma 4 26B-A4B and Ministral-3-3B-Reasoning-2512 understand images?+
Gemma 4 26B-A4B is not documented with image input; Ministral-3-3B-Reasoning-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-3-3B-Reasoning-2512?+
Neither has a larger sourced maximum output. Gemma 4 26B-A4B is — and Ministral-3-3B-Reasoning-2512 is —.
Do Gemma 4 26B-A4B and Ministral-3-3B-Reasoning-2512 support reasoning and tool use?+
Gemma 4 26B-A4B: reasoning and tool calling. Ministral-3-3B-Reasoning-2512: reasoning, 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-3-3B-Reasoning-2512?+
Gemma 4 26B-A4B has 4 sourced provider routes; Ministral-3-3B-Reasoning-2512 has 0, so Gemma 4 26B-A4B has broader tracked availability.
Which offers better value, Gemma 4 26B-A4B or Ministral-3-3B-Reasoning-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.