ministral-8b
vercel_ai_gateway · chat model
ministral-8b is listed here as a chat model from vercel_ai_gateway. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.1000 / 1M tokens
Output
$0.1000 / 1M tokens
Cached input
N/A
Context
4.0K
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 | $0.1000 / 1M tokens |
| Output | $0.1000 / 1M tokens |
| Embedding | $0.1000 / 1M tokens |
Token limits
Context window
4.0K
Max input tokens
128.0K
Max output tokens
4.0K
Max tokens
4.0K
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-8b vercel_ai_gateway | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | VisionFunction callingTool choice | 4.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| MythoMax-L2-13b deepinfra | In $0.0800 / 1M tokens Out $0.0900 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 88% |
| meta.llama3-2-1b-instruct-v1:0 Bedrock | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Function calling | 4.1K | Text covered Overall 83% |
| us.meta.llama3-2-1b-instruct-v1:0 Bedrock | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Function calling | 4.1K | Text covered Overall 83% |
| gemma-2-9b vercel_ai_gateway | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text
Output: text | VisionFunction callingTool choice | 8.2K | Same provider Overall 82% |
| ministral-3b vercel_ai_gateway | In $0.0400 / 1M tokens Out $0.0400 / 1M tokens | text
Output: text | Function callingTool choice | 4.0K | Same provider Overall 80% |
| ministral-3b azure_ai | In $0.0400 / 1M tokens Out $0.0400 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 79% |
| command-r vercel_ai_gateway | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Same provider Overall 79% |
| codestral vercel_ai_gateway | In $0.3000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Function callingTool choice | 4.0K | Same provider Overall 76% |
| pixtral-12b vercel_ai_gateway | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | text image
Output: text | VisionFunction callingTool choice | 4.0K | Same provider Overall 75% |
| gpt-3.5-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 74% |
| gpt-35-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 74% |
| gpt-3.5-turbo vercel_ai_gateway | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Same provider Overall 74% |
| ministral-3b-2512 OpenRouter | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text image
Output: text | VisionFunction callingTool choice | 131.1K | Text covered Overall 73% |
| llama-4-scout vercel_ai_gateway | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text image
Output: text | VisionFunction callingTool choice | 8.2K | Same provider Overall 73% |
| llama-3.2-11b vercel_ai_gateway | In $0.1600 / 1M tokens Out $0.1600 / 1M tokens | text image
Output: text | VisionFunction callingTool choice | 8.2K | Same provider Overall 73% |
| glm-4.7-flash OpenRouter | In $0.0700 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | VisionFunction callingTool choice | 32.0K | Text covered Overall 70% |
| ministral-8b-2512 OpenRouter | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | text image
Output: text | VisionFunction callingTool choice | 262.1K | Text covered Overall 67% |
| mistral-small-2503 azure_ai | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text image
Output: text | VisionFunction callingTool choice | 128.0K | Text covered Overall 66% |
| minimax-m2.1 OpenRouter | In $0.2700 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | VisionFunction callingTool choice | 64.0K | Text covered Overall 64% |
| llama-v3p1-8b-instruct fireworks_ai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Text covered Overall 64% |
| llama-v3p2-1b-instruct fireworks_ai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Text covered Overall 64% |
| llama-v3p2-3b-instruct fireworks_ai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Text covered Overall 64% |
| ministral-14b-2512 OpenRouter | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | text image
Output: text | VisionFunction callingTool choice | 262.1K | Text covered Overall 63% |
| glm-4.7 OpenRouter | In $0.4000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | VisionFunction callingTool choice | 64.0K | Text covered Overall 63% |
| llama3.1-8b cerebras | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: unknown | Function callingTool choice | 128.0K | Partial I/O overlap Overall 37% Missing text |
| meta-llama-3.1-8b-instruct friendliai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: unknown | Function callingTool choice | 8.2K | Partial I/O overlap Overall 36% Missing text |
| gemma-3-12b-it crusoe | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: unknown | VisionFunction callingTool choice | 131.1K | Partial I/O overlap Overall 35% Missing text |
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