Qwen3.5-35B-A3B vs Ministral-3-14B-Instruct-2512
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Qwen3.5-35B-A3B | Ministral-3-14B-Instruct-2512 |
|---|---|---|
| Developer | Qwen | Mistral AI |
| Family | Qwen3 5 35b A3b | Ministral 3 14b Instruct 2512 |
| Model | Qwen3.5-35B-A3B | Ministral-3-14B-Instruct-2512 |
| Version | Qwen3.5-35B-A3B | Ministral-3-14B-Instruct-2512 |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262,144 | 262,144 |
| Total parameters | 35,951,822,704 | 13,945,032,240 |
| Active parameters | 3,000,000,000 | Unknown |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, tools |
15 comparable fields · 7 material differences · Pair passes the primary-source comparison gate
Qwen3.5-35B-A3B Capabilities
Ministral-3-14B-Instruct-2512 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Qwen3.5-35B-A3BQwen | vs | Qwen3.8-27BQwen | family variantsimage, text |
Qwen3.5-35B-A3BQwen | vs | family variantsimage, text | |
Qwen3.5-35B-A3BQwen | vs | 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 |
Ministral-3-14B-Base-2512Mistral AI | vs | Ministral-3-14B-Instruct-2512Mistral AI | family variantsimage, text |
Qwen3.5-35B-A3BQwen | vs |  Muse Glimmer 30BMeta | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs | Ministral-3-14B-Reasoning-2512Mistral AI | cross-developer peersimage, text |
 Gemma 4 12BGoogle Deepmind | vs | Ministral-3-14B-Instruct-2512Mistral AI | cross-developer peersimage, text |
| vs | Ministral-3-14B-Instruct-2512Mistral AI | cross-developer peersimage, text | |
Qwen3.5-35B-A3BQwen | vs | Ministral-3-8B-Instruct-2512Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Qwen3.5-35B-A3B vs Ministral-3-14B-Instruct-2512 FAQs
Is Qwen3.5-35B-A3B or Ministral-3-14B-Instruct-2512 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5-35B-A3B 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, Qwen3.5-35B-A3B or Ministral-3-14B-Instruct-2512?+
Qwen3.5-35B-A3B is $0.14 and Ministral-3-14B-Instruct-2512 is $0.20 per million tokens, so Qwen3.5-35B-A3B is cheaper on this metric. Qwen3.5-35B-A3B is $1.00 and Ministral-3-14B-Instruct-2512 is $0.20 per million tokens, so Ministral-3-14B-Instruct-2512 is cheaper on this metric.
Which has a larger context window, Qwen3.5-35B-A3B or Ministral-3-14B-Instruct-2512?+
Neither model has a larger sourced context window in this comparison. Qwen3.5-35B-A3B is 262,144 and Ministral-3-14B-Instruct-2512 is 262,144.
Which performs better in benchmarks, Qwen3.5-35B-A3B 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 Qwen3.5-35B-A3B or Ministral-3-14B-Instruct-2512 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.5-35B-A3B is open weight; Ministral-3-14B-Instruct-2512 is open weight.
Can Qwen3.5-35B-A3B and Ministral-3-14B-Instruct-2512 understand images?+
Qwen3.5-35B-A3B 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, Qwen3.5-35B-A3B or Ministral-3-14B-Instruct-2512?+
Neither has a larger sourced maximum output. Qwen3.5-35B-A3B is — and Ministral-3-14B-Instruct-2512 is —.
Do Qwen3.5-35B-A3B and Ministral-3-14B-Instruct-2512 support reasoning and tool use?+
Qwen3.5-35B-A3B: 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, Qwen3.5-35B-A3B or Ministral-3-14B-Instruct-2512?+
Qwen3.5-35B-A3B has 4 sourced provider routes; Ministral-3-14B-Instruct-2512 has 2, so Qwen3.5-35B-A3B has broader tracked availability.
Which offers better value, Qwen3.5-35B-A3B 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.