llama-4-maverick-17b-128e-instruct
Groq · chat model
llama-4-maverick-17b-128e-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
$0.2000 / 1M tokens
Output
$0.6000 / 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 | $0.2000 / 1M tokens |
| Output | $0.6000 / 1M tokens |
| Embedding | $0.2000 / 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-maverick-17b-128e-instruct Groq | In $0.2000 / 1M tokens Out $0.6000 / 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 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 58% |
| 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 | Same provider Overall 51% |
| qwen3-vl-8b llamagate | In $0.1500 / 1M tokens Out $0.5500 / 1M tokens |
Output: unknown | VisionFunction callingResponse schema | 8.2K | Partial I/O overlap Overall 51% |
| 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 50% |
| 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 49% |
| Llama-4-Scout-17B-16E-Instruct sambanova | In $0.4000 / 1M tokens Out $0.7000 / 1M tokens |
Output: unknown | Function callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 48% |
| claude-3-haiku vercel_ai_gateway | In $0.2500 / 1M tokens Out $1.2500 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Partial I/O overlap Overall 45% |
| 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 41% |
| 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% |
| Qwen2.5-VL-32B-Instruct deepinfra | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 128.0K | Partial I/O overlap Overall 40% |
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Output: unknown | VisionFunction callingTool choiceResponse schema | 262.1K | Partial I/O overlap Overall 38% |
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Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Partial I/O overlap Overall 34% |
| 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 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% |
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Output: unknown | Function callingTool choiceResponse schema | 32.8K | Same provider Overall 32% |
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Output: unknown | Function callingTool choice | 8.2K | Same provider Overall 31% |
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Output: unknown | Function callingTool choice | 8.2K | Same provider Overall 31% |
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Output: unknown | Function callingTool choiceResponse schema | 16.4K | Same provider Overall 30% |
| deepseek-v3-0324 lambda_ai | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 131.1K | Partial I/O overlap Overall 29% |
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Output: unknown | Function callingTool choice | 131.1K | Partial I/O overlap Overall 28% |
| deepseek-r1-0528 lambda_ai | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 131.1K | Partial I/O overlap Overall 28% |
| qwen3-32b Groq | In $0.2900 / 1M tokens Out $0.5900 / 1M tokens |
Output: unknown | Function callingTool choice | 131.0K | Same provider Overall 28% |
| Qwen3-235B-A22B nebius | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function calling | 262.1K | Partial I/O overlap Overall 27% |
| DeepSeek-R1-Distill-Llama-70B deepinfra | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Low overlap | 131.1K | Partial I/O overlap Overall 21% |
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