Ministral 3 3B Instruct 2512 vs Kimi K2 Thinking
At a Glance
| Compare |  Ministral 3 3B Instruct 2512Mistral AI |  Kimi K2 ThinkingMoonshot AI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.10Openrouter ↗ · Aug 29, 2026 | $0.60Openrouter ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $0.10Openrouter ↗ · Aug 29, 2026 | $2.50Openrouter ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 262K | 262K |
| Model facts checked | Aug 28, 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 | Ministral-3-3B-Instruct-2512 | Kimi-K2-Thinking |
|---|---|---|
| Developer | Mistral AI | Moonshot AI |
| Family | Ministral 3 3b Instruct 2512 | Kimi K2 Thinking |
| Model | Ministral-3-3B-Instruct-2512 | Kimi-K2-Thinking |
| Version | Ministral-3-3B-Instruct-2512 | Kimi-K2-Thinking |
| Lifecycle | active | active |
| Released | Unknown | 2025-11-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 262K | 262K |
| Total parameters | 3.8B | 1T |
| Active parameters | Unknown | 32B |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Openrouter (Standard) | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
Ministral 3 3B Instruct 2512 Capabilities
Kimi K2 Thinking Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Ministral-3-3B-Instruct-2512Mistral AI | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Ministral-3-3B-Instruct-2512Mistral AI | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | Ministral-3-3B-Instruct-2512Mistral AI | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Ministral-3-3B-Instruct-2512Mistral AI | cross-developer peersimage, text |
Ministral-3-3B-Instruct-2512Mistral AI | vs | Grok 4.6xAI | cross-developer peersimage, text |
Ministral-3-3B-Instruct-2512Mistral AI | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Ministral-3-3B-Instruct-2512Mistral AI | vs | Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Ministral-3-3B-Instruct-2512Mistral AI | cross-developer peersimage, text |
Ministral-3-3B-Instruct-2512Mistral AI | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Ministral-3-3B-Instruct-2512Mistral AI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Ministral-3-3B-Instruct-2512Mistral AI | cross-developer peersimage, text |
Ministral-3-3B-Instruct-2512Mistral AI | vs | Mistral Large 3Mistral AI | developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Ministral 3 3B Instruct 2512 vs Kimi K2 Thinking FAQs
Is Ministral 3 3B Instruct 2512 or Kimi K2 Thinking better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Ministral 3 3B Instruct 2512 and Kimi K2 Thinking, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Ministral 3 3B Instruct 2512 or Kimi K2 Thinking?+
Ministral 3 3B Instruct 2512 is $0.10 and Kimi K2 Thinking is $0.60 per million tokens, so Ministral 3 3B Instruct 2512 is cheaper on this metric. Ministral 3 3B Instruct 2512 is $0.10 and Kimi K2 Thinking is $2.50 per million tokens, so Ministral 3 3B Instruct 2512 is cheaper on this metric.
Which has a larger context window, Ministral 3 3B Instruct 2512 or Kimi K2 Thinking?+
Neither model has a larger sourced context window in this comparison. Ministral 3 3B Instruct 2512 is 262K and Kimi K2 Thinking is 262K.
Which performs better in benchmarks, Ministral 3 3B Instruct 2512 or Kimi K2 Thinking?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Ministral 3 3B Instruct 2512 or Kimi K2 Thinking be self-hosted?+
Both models have the same recorded self-hosting status: supported. Ministral 3 3B Instruct 2512 is open weight; Kimi K2 Thinking is open weight.
Can Ministral 3 3B Instruct 2512 and Kimi K2 Thinking understand images?+
Ministral 3 3B Instruct 2512 is documented with image input; Kimi K2 Thinking is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Ministral 3 3B Instruct 2512 or Kimi K2 Thinking?+
Neither has a larger sourced maximum output. Ministral 3 3B Instruct 2512 is — and Kimi K2 Thinking is 131K.
Do Ministral 3 3B Instruct 2512 and Kimi K2 Thinking support reasoning and tool use?+
Ministral 3 3B Instruct 2512: tool calling and image input. Kimi K2 Thinking: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Ministral 3 3B Instruct 2512 or Kimi K2 Thinking?+
Ministral 3 3B Instruct 2512 has 1 sourced provider route; Kimi K2 Thinking has 2, so Kimi K2 Thinking has broader tracked availability.
Which offers better value, Ministral 3 3B Instruct 2512 or Kimi K2 Thinking?+
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.