Qwen2-VL-72B-Instruct
nebius · chat model
Qwen2-VL-72B-Instruct is listed here as a chat model from nebius. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.1300 / 1M tokens
Output
$0.4000 / 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 | $0.1300 / 1M tokens |
| Output | $0.4000 / 1M tokens |
| Embedding | $0.1300 / 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 | 54.1 | score | Base model: Qwen2-VL (Qwen2-VL-7B) | 2026-05-31 | Link |
| DocVQA | 94.5 | score | Base model: Qwen2-VL (Qwen2-VL-7B) | 2026-05-31 | Link |
| InfoVQA | 76.5 | score | Base model: Qwen2-VL (Qwen2-VL-7B) | 2026-05-31 | Link |
| ChartQA | 83.0 | score | Base model: Qwen2-VL (Qwen2-VL-7B) | 2026-05-31 | Link |
| TextVQA | 84.3 | score | Base model: Qwen2-VL (Qwen2-VL-7B) | 2026-05-31 | Link |
| OCRBench | 845 | score | Base model: Qwen2-VL (Qwen2-VL-7B) | 2026-05-31 | Link |
| RealWorldQA | 70.1 | score | Base model: Qwen2-VL (Qwen2-VL-7B) | 2026-05-31 | Link |
| MMBench-EN | 83.0 | score | Base model: Qwen2-VL (Qwen2-VL-7B) | 2026-05-31 | Link |
| MMBench-CN | 80.5 | score | Base model: Qwen2-VL (Qwen2-VL-7B) | 2026-05-31 | Link |
| MMT-Bench | 63.7 | score | Base model: Qwen2-VL (Qwen2-VL-7B) | 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
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| Qwen2-VL-72B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens |
Output: unknown | VisionFunction calling | 131.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| Qwen2.5-VL-72B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens |
Output: unknown | VisionFunction calling | 131.1K | Same provider Overall 60% |
| gemma-3-27b-it nebius | In $0.0600 / 1M tokens Out $0.2000 / 1M tokens |
Output: unknown | VisionFunction calling | 128.0K | Same provider Overall 49% |
| Llama-3.3-70B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens |
Output: unknown | Function calling | 128.0K | Same provider Overall 47% |
| Meta-Llama-3.1-70B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens |
Output: unknown | Function calling | 128.0K | Same provider Overall 47% |
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