Llama-4-Maverick-17B-128E-Instruct
sambanova · chat model
Llama-4-Maverick-17B-128E-Instruct is listed here as a chat model from sambanova. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.6300 / 1M tokens
Output
$1.8000 / 1M tokens
Cached input
N/A
Context
131.1K
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 | $0.6300 / 1M tokens |
| Output | $1.8000 / 1M tokens |
| Embedding | $0.6300 / 1M tokens |
Token limits
Context window
131.1K
Max input tokens
131.1K
Max output tokens
131.1K
Max tokens
131.1K
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 sambanova | In $0.6300 / 1M tokens Out $1.8000 / 1M tokens |
Output: unknown | VisionFunction callingTool choiceResponse schema | 131.1K | Current model Reference row |
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|---|---|---|---|---|---|
| mistral-medium-latest Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceResponse schema | 131.1K | Partial I/O overlap Overall 56% |
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Output: unknown | VisionFunction callingTool choiceResponse schema | 131.1K | Partial I/O overlap Overall 56% |
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Output: text | Function callingTool choiceResponse schema | 128.0K | Partial I/O overlap Overall 49% |
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Output: text | VisionFunction callingTool choiceResponse schema | 262.1K | Partial I/O overlap Overall 49% |
| mistral-large-3 Mistral | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens |
Output: unknown | VisionFunction callingTool choiceResponse schema | 262.1K | Partial I/O overlap Overall 49% |
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Output: text | VisionFunction callingTool choiceResponse schema | 16.4K | Partial I/O overlap Overall 36% |
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Output: unknown | VisionFunction callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 32% |
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Output: unknown | VisionFunction callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 30% |
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Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Partial I/O overlap Overall 29% |
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Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Partial I/O overlap Overall 26% |
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Output: text | VisionFunction callingTool choiceResponse schema | 4.1K | Partial I/O overlap Overall 26% |
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Output: unknown | VisionFunction callingTool choiceResponse schema | 8.2K | Partial I/O overlap Overall 26% |
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No models match this filter.