llama-4-maverick-17b-128e-instruct-fp8
lambda_ai · chat model
llama-4-maverick-17b-128e-instruct-fp8 is listed here as a chat model from lambda_ai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.0500 / 1M tokens
Output
$0.1000 / 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 | $0.0500 / 1M tokens |
| Output | $0.1000 / 1M tokens |
| Embedding | $0.0500 / 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
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Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| llama-4-maverick-17b-128e-instruct-fp8 lambda_ai | In $0.0500 / 1M tokens Out $0.1000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
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| llama-4-scout-17b-16e-instruct lambda_ai | In $0.0500 / 1M tokens Out $0.1000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 8.2K | Same provider Overall 60% |
| meta-llama-3.1-8b-instruct friendliai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 8.2K | Partial I/O overlap Overall 51% |
| ernie-4.5-21B-a3b novita | In $0.0700 / 1M tokens Out $0.2800 / 1M tokens | text
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| nvidia.nemotron-nano-3-30b bedrock_converse | In $0.0600 / 1M tokens Out $0.2400 / 1M tokens | text
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| llama-3.1-8b-instant Groq | In $0.0500 / 1M tokens Out $0.0800 / 1M tokens |
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Output: unknown | Function callingParallel function callingTool choiceSystem messages | 131.1K | Same provider Overall 35% |
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Output: audio, text | Function callingParallel function callingTool choiceSystem messages | 16.4K | Partial I/O overlap Overall 34% |
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Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 33% |
| gpt-audio-2025-08-28 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: audio, text | Function callingParallel function callingTool choiceSystem messages | 16.4K | Partial I/O overlap Overall 33% |
| gpt-audio-1.5-2026-02-23 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: audio, text | Function callingParallel function callingTool choiceSystem messages | 16.4K | Partial I/O overlap Overall 33% |
| gpt-4o-audio-preview-2024-12-17 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: audio, text | Function callingParallel function callingTool choiceSystem messages | 16.4K | Partial I/O overlap Overall 33% |
| gpt-4o-mini-audio-preview-2024-12-17 Azure | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: audio, text | Function callingParallel function callingTool choiceSystem messages | 16.4K | Partial I/O overlap Overall 33% |
| Qwen2.5-7B-Instruct deepinfra | In $0.0400 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Partial I/O overlap Overall 22% |
No models match this filter.