ministral-14b-2512
OpenRouter · chat model
ministral-14b-2512 is listed here as a chat model from OpenRouter. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.2000 / 1M tokens
Output
$0.2000 / 1M tokens
Cached input
N/A
Context
262.1K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $0.2000 / 1M tokens |
| Output | $0.2000 / 1M tokens |
| Embedding | $0.2000 / 1M tokens |
Token limits
Context window
262.1K
Max input tokens
262.1K
Max output tokens
262.1K
Max tokens
262.1K
Capabilities
| Capability | Supported |
|---|---|
| Vision | ✅ |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | ✅ |
| Prompt caching | — |
| Reasoning | — |
| Response schema | — |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
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Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| ministral-14b-2512 OpenRouter | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 262.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| ministral-8b-2512 OpenRouter | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 262.1K | Same provider Overall 95% |
| ministral-8b-2512 Mistral | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 262.1K | Text + image covered Overall 89% |
| Qwen2.5-VL-32B-Instruct deepinfra | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 128.0K | Text + image covered Overall 85% |
| mistral-small-2503 azure_ai | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 128.0K | Text + image covered Overall 84% |
| ministral-3b-2512 OpenRouter | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 131.1K | Same provider Overall 83% |
| llama-3.2-11b vercel_ai_gateway | In $0.1600 / 1M tokens Out $0.1600 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 8.2K | Text + image covered Overall 81% |
| Llama-4-Scout-17B-16E-Instruct azure_ai | In $0.2000 / 1M tokens Out $0.7800 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 16.4K | Text + image covered Overall 78% |
| kimi-k2.5 OpenRouter | In $0.6000 / 1M tokens Out $3.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 262.1K | Same provider Overall 77% |
| llama-4-scout vercel_ai_gateway | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 8.2K | Text + image covered Overall 77% |
| mistral-large-2512 OpenRouter | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | imagetext file
Output: text | VisionFunction callingTool choice | 262.1K | Same provider Overall 77% |
| Llama-3.2-11B-Vision-Instruct azure_ai | In $0.3700 / 1M tokens Out $0.3700 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 2.0K | Text + image covered Overall 76% |
| claude-3-haiku OpenRouter | In $0.2500 / 1M tokens Out $1.2500 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 4.1K | Same provider Overall 74% |
| Llama-4-Maverick-17B-128E-Instruct-FP8 azure_ai | In $1.4100 / 1M tokens Out $0.3500 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 16.4K | Text + image covered Overall 73% |
| mistral-large-3 azure_ai | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 8.2K | Text + image covered Overall 71% |
| qwen3-coder OpenRouter | In $0.2200 / 1M tokens Out $0.9500 / 1M tokens | imagetext
Output: text | Function callingTool choice | 262.1K | Same provider Overall 70% Missing image |
| llama-v3p2-11b-vision-instruct fireworks_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: text | Vision | 16.4K | Text + image covered Overall 67% |
| Llama-3.2-90B-Vision-Instruct azure_ai | In $2.0400 / 1M tokens Out $2.0400 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 2.0K | Text + image covered Overall 67% |
| QwQ-32B hyperbolic | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: unknown | Function callingTool choice | 131.1K | Partial I/O overlap Overall 38% Missing text, image |
| Llama-3.3-70B-Instruct crusoe | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: unknown | Function callingTool choice | 131.1K | Partial I/O overlap Overall 38% Missing text, image |
| DeepSeek-V3 hyperbolic | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: unknown | Function callingTool choice | 32.8K | Partial I/O overlap Overall 32% Missing text, image |
| llama-guard-4-12b Groq | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: unknown | Low overlap | 8.2K | Partial I/O overlap Overall 20% Missing text, image |
| llama3-8b-instruct gradient_ai | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: unknown | Low overlap | 512 | Partial I/O overlap Overall 20% Missing text, image |
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