llama-4-maverick-17b-128e-instruct-fp8
novita · chat model
llama-4-maverick-17b-128e-instruct-fp8 is listed here as a chat model from novita. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.2700 / 1M tokens
Output
$0.8500 / 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 | $0.2700 / 1M tokens |
| Output | $0.8500 / 1M tokens |
| Embedding | $0.2700 / 1M tokens |
Token limits
Context window
8.2K
Max input tokens
1.0M
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 |
Docs
| Official docs |
Similar models
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Comparing from
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|---|---|---|---|---|---|
| llama-4-maverick-17b-128e-instruct-fp8 novita | In $0.2700 / 1M tokens Out $0.8500 / 1M tokens | imagetext
Output: text | VisionSystem messages | 8.2K | Current model Reference row |
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| nvidia.nemotron-nano-12b-v2 bedrock_converse | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | VisionSystem messages | 8.2K | Text + image covered Overall 94% |
| google.gemma-3-27b-it bedrock_converse | In $0.2300 / 1M tokens Out $0.3800 / 1M tokens | imagetext
Output: image, text | VisionSystem messages | 8.2K | Text + image covered Overall 85% |
| qwen.qwen3-vl-235b-a22b bedrock_converse | In $0.5300 / 1M tokens Out $2.6600 / 1M tokens | imagetext
Output: text | VisionSystem messages | 8.2K | Text + image covered Overall 80% |
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| google.gemma-3-12b-it bedrock_converse | In $0.0900 / 1M tokens Out $0.2900 / 1M tokens | imagetext
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