llama-4-scout-17b-16e-instruct
Groq · chat model
llama-4-scout-17b-16e-instruct is listed here as a chat model from Groq. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.1100 / 1M tokens
Output
$0.3400 / 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 | $0.1100 / 1M tokens |
| Output | $0.3400 / 1M tokens |
| Embedding | $0.1100 / 1M tokens |
Token limits
Context window
8.2K
Max input tokens
131.1K
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 | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| MMMU | 73.4 | accuracy | Base model: Llama 4 (Llama 4 Maverick) | 2026-05-31 | Link |
| ChartQA | 90.0 | relaxed_accuracy | Base model: Llama 4 (Llama 4 Maverick) | 2026-05-31 | Link |
| DocVQA | 94.4 | anls | Base model: Llama 4 (Llama 4 Maverick) | 2026-05-31 | Link |
| MMLU-Pro | 80.5 | macro_avg/acc | Base model: Llama 4 (Llama 4 Maverick) | 2026-05-31 | Link |
| GPQA Diamond | 69.8 | accuracy | Base model: Llama 4 (Llama 4 Maverick) | 2026-05-31 | Link |
| Artificial Analysis Intelligence Index | 18.4 | score | Base model: llama-4 (meta-llama/llama-4-maverick) | 2026-05-31 | Link |
| Artificial Analysis Coding Index | 15.6 | score | Base model: llama-4 (meta-llama/llama-4-maverick) | 2026-05-31 | Link |
| Artificial Analysis Agentic Index | 7.2 | score | Base model: llama-4 (meta-llama/llama-4-maverick) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| llama-4-scout-17b-16e-instruct Groq | In $0.1100 / 1M tokens Out $0.3400 / 1M tokens |
Output: unknown | VisionFunction callingTool choiceResponse schema | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gemini-2.0-flash-lite vercel_ai_gateway | In $0.0750 / 1M tokens Out $0.3000 / 1M tokens | audioimage
Output: text | VisionFunction callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 56% |
| gemini-2.0-flash vercel_ai_gateway | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | audioimage
Output: audio, image, text | VisionFunction callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 53% |
| llama-4-scout vercel_ai_gateway | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 8.2K | Partial I/O overlap Overall 52% |
| mistral-small Mistral | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 52% |
| llama-4-maverick-17b-128e-instruct Groq | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | VisionFunction callingTool choiceResponse schema | 8.2K | Same provider Overall 51% |
| gemini-2.0-flash-001 OpenRouter | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | audiofile
Output: text | VisionFunction callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 49% |
| gpt-4.1-nano vercel_ai_gateway | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 32.8K | Partial I/O overlap Overall 46% |
| gpt-4o-mini vercel_ai_gateway | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 16.4K | Partial I/O overlap Overall 45% |
| Mistral-Small-3.2-24B-Instruct-2506 ovhcloud | In $0.0900 / 1M tokens Out $0.2800 / 1M tokens |
Output: unknown | VisionFunction callingTool choiceResponse schema | 128.0K | Partial I/O overlap Overall 42% |
| gemma-3-27b-it Google | In N/A Out N/A |
Output: unknown | VisionFunction callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 40% |
| ministral-3-8b-2512 Mistral | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | VisionFunction callingTool choiceResponse schema | 262.1K | Partial I/O overlap Overall 37% |
| Phi-4-multimodal-instruct azure_ai | In $0.0800 / 1M tokens Out $0.3200 / 1M tokens | audioimage
Output: text | VisionFunction calling | 4.1K | Partial I/O overlap Overall 34% |
| llama-3.1-8b-instant Groq | In $0.0500 / 1M tokens Out $0.0800 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Same provider Overall 34% |
| gemma-7b-it Groq | In $0.0500 / 1M tokens Out $0.0800 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Same provider Overall 34% |
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Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Partial I/O overlap Overall 33% |
| anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Partial I/O overlap Overall 33% |
| eu.anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Partial I/O overlap Overall 33% |
| Phi-4-mini-reasoning azure_ai | In $0.0800 / 1M tokens Out $0.3200 / 1M tokens | text
Output: text | Function calling | 4.1K | Partial I/O overlap Overall 31% |
| gpt-oss-20b Groq | In $0.0750 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 32.8K | Same provider Overall 30% |
| gpt-oss-safeguard-20b Groq | In $0.0750 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 65.5K | Same provider Overall 30% |
| Hermes-3-Llama-3.1-70B hyperbolic | In $0.1200 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingTool choice | 32.8K | Partial I/O overlap Overall 30% |
| Qwen2.5-Coder-32B-Instruct hyperbolic | In $0.1200 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingTool choice | 32.8K | Partial I/O overlap Overall 30% |
| Mistral Large Mistral | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 262.1K | Partial I/O overlap Overall 30% |
| kimi-k2-instruct-0905 Groq | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 16.4K | Same provider Overall 28% |
| Qwen2.5-72B-Instruct hyperbolic | In $0.1200 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | Function callingTool choice | 131.1K | Partial I/O overlap Overall 27% |
| gpt-oss-20b replicate | In $0.0900 / 1M tokens Out $0.3600 / 1M tokens | text
Output: text | Function calling | N/A | Partial I/O overlap Overall 23% |
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