Meta-Llama-3-8B-Instruct
deepinfra · chat model
Meta-Llama-3-8B-Instruct is listed here as a chat model from deepinfra. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.0300 / 1M tokens
Output
$0.0600 / 1M tokens
Cached input
N/A
Context
8.2K
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 | $0.0300 / 1M tokens |
| Output | $0.0600 / 1M tokens |
| Embedding | $0.0300 / 1M tokens |
Token limits
Context window
8.2K
Max input tokens
8.2K
Max output tokens
8.2K
Max tokens
8.2K
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 |
|---|---|---|---|---|---|
| Meta-Llama-3-8B-Instruct deepinfra | In $0.0300 / 1M tokens Out $0.0600 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| 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 87% |
| ministral-3b vercel_ai_gateway | In $0.0400 / 1M tokens Out $0.0400 / 1M tokens | text
Output: text | Function callingTool choice | 4.0K | Text covered Overall 86% |
| Meta-Llama-3.1-8B-Instruct deepinfra | In $0.0300 / 1M tokens Out $0.0500 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Same provider Overall 84% |
| MythoMax-L2-13b deepinfra | In $0.0800 / 1M tokens Out $0.0900 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Same provider Overall 83% |
| Mistral-Small-24B-Instruct-2501 deepinfra | In $0.0500 / 1M tokens Out $0.0800 / 1M tokens | text
Output: text | Function callingTool choice | 32.8K | Same provider Overall 82% |
| llama-3.3-70b vercel_ai_gateway | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Text covered Overall 81% |
| phi-4 deepinfra | In $0.0700 / 1M tokens Out $0.1400 / 1M tokens | text
Output: text | Function callingTool choice | 16.4K | Same provider Overall 81% |
| Mistral-Nemo-Instruct-2407 deepinfra | In $0.0200 / 1M tokens Out $0.0400 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Same provider Overall 79% |
| Meta-Llama-3.1-8B-Instruct-Turbo deepinfra | In $0.0200 / 1M tokens Out $0.0300 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Same provider Overall 77% |
| Phi-4 azure_ai | In $0.1250 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choice | 16.4K | Text covered Overall 76% |
| llama-3.2-3b-instruct novita | In $0.0300 / 1M tokens Out $0.0500 / 1M tokens | text
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| gpt-3.5-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
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| 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 73% |
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Output: text | Function callingTool choice | 4.1K | Text covered Overall 73% |
| gpt-4-0613 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 73% |
| Llama-3.3-70B-Instruct azure_ai | In $0.7100 / 1M tokens Out $0.7100 / 1M tokens | text
Output: text | Function callingTool choice | 2.0K | Text covered Overall 70% |
| gemma-3-4b-it deepinfra | In $0.0400 / 1M tokens Out $0.0800 / 1M tokens | text image
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| Meta-Llama-3.1-8B-Instruct nebius | In $0.0200 / 1M tokens Out $0.0600 / 1M tokens | text
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 30% Missing text |
| Llama-Guard-3-8B nebius | In $0.0200 / 1M tokens Out $0.0600 / 1M tokens | text
Output: unknown | Low overlap | 128.0K | Partial I/O overlap Overall 18% Missing text |
| Qwen2-VL-7B-Instruct nebius | In $0.0200 / 1M tokens Out $0.0600 / 1M tokens | text
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