llama-4-maverick
vercel_ai_gateway · chat model
llama-4-maverick is listed here as a chat model from vercel_ai_gateway. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
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
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
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| llama-4-maverick vercel_ai_gateway | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | Tool choice | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| mistral.mistral-7b-instruct-v0:2 Bedrock | In $0.2000 / 1M tokens Out $0.2600 / 1M tokens | imagetext
Output: text | Tool choice | 8.2K | Partial I/O overlap Overall 82% Missing image |
| mistral.mixtral-8x7b-instruct-v0:1 Bedrock | In $0.4500 / 1M tokens Out $0.7000 / 1M tokens | imagetext
Output: text | Tool choice | 8.2K | Partial I/O overlap Overall 81% Missing image |
| mistral.mixtral-8x7b-instruct-v0:1 Bedrock | In $0.4500 / 1M tokens Out $0.7000 / 1M tokens | imagetext
Output: text | Tool choice | 8.2K | Partial I/O overlap Overall 81% Missing image |
| mistral.mixtral-8x7b-instruct-v0:1 Bedrock | In $0.4500 / 1M tokens Out $0.7000 / 1M tokens | imagetext
Output: text | Tool choice | 8.2K | Partial I/O overlap Overall 81% Missing image |
| llama-3.1-70b vercel_ai_gateway | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | imagetext
Output: text | Tool choice | 8.2K | Same provider Overall 80% Missing image |
| llama-3-70b vercel_ai_gateway | In $0.5900 / 1M tokens Out $0.7900 / 1M tokens | imagetext
Output: text | Tool choice | 8.2K | Same provider Overall 79% Missing image |
| deepseek-v3 vercel_ai_gateway | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | imagetext
Output: text | Tool choice | 8.2K | Same provider Overall 77% Missing image |
| ui-tars-1.5-7b OpenRouter | In $0.1000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: text | Tool choice | 2.0K | Text + image covered Overall 77% |
| mistral-small-3.2-24b-instruct OpenRouter | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | imagetext
Output: text | Tool choice | 128.0K | Text + image covered Overall 76% |
| mistral-small-3.1-24b-instruct OpenRouter | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | imagetext
Output: text | Tool choice | 131.1K | Text + image covered Overall 76% |
| Phi-3.5-vision-instruct azure_ai | In $0.1300 / 1M tokens Out $0.5200 / 1M tokens | imagetext
Output: text | Tool choice | 4.1K | Text + image covered Overall 75% |
| llama-3.2-90b vercel_ai_gateway | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | imagetext
Output: text | Tool choice | 8.2K | Same provider Overall 75% |
| deepseek-r1 vercel_ai_gateway | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | imagetext
Output: text | Tool choice | 8.2K | Same provider Overall 74% Missing image |
| llama-3.2-11b vercel_ai_gateway | In $0.1600 / 1M tokens Out $0.1600 / 1M tokens | imagetext
Output: text | Tool choice | 8.2K | Same provider Overall 73% |
| Llama-4-Maverick-17B-128E-Instruct-FP8 deepinfra | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | Tool choice | 1.0M | Text + image covered Overall 70% |
| Qwen2.5-VL-32B-Instruct deepinfra | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | Tool choice | 128.0K | Text + image covered Overall 69% |
| gpt-4-turbo-vision-preview Azure | In $10.0000 / 1M tokens Out $30.0000 / 1M tokens | imagetext
Output: text | Tool choice | 4.1K | Text + image covered Overall 60% |
| gpt-4 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | imagetext
Output: text | Tool choice | 4.1K | Text + image covered Overall 60% |
| gemini-2.0-flash-001 deepinfra | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | imagetext audiocode
Output: text | Tool choice | 1.0M | Text + image covered Overall 50% |
| DeepSeek-R1-Distill-Llama-70B deepinfra | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | Low overlap | 131.1K | Partial I/O overlap Overall 49% Missing image |
| llama-4-maverick-17b-128e-instruct Groq | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: unknown | Tool choice | 8.2K | Partial I/O overlap Overall 41% Missing text, image |
| deepseek-v3-0324 lambda_ai | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: unknown | Tool choice | 131.1K | Partial I/O overlap Overall 27% Missing text, image |
| deepseek-llama3.3-70b lambda_ai | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: unknown | Tool choice | 131.1K | Partial I/O overlap Overall 26% Missing text, image |
| deepseek-r1-0528 lambda_ai | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: unknown | Tool choice | 131.1K | Partial I/O overlap Overall 26% Missing text, image |
No models match this filter.