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Qwen2.5-VL-72B-Instruct

ovhcloud · chat model

Qwen2.5-VL-72B-Instruct is listed here as a chat model from ovhcloud. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.9100 / 1M tokens
Output
$0.9100 / 1M tokens
Cached input
N/A
Context
32.0K

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
$0.9100 / 1M tokens
Output
$0.9100 / 1M tokens
Embedding
$0.9100 / 1M tokens

Token limits

Context window
32.0K
Max input tokens
32.0K
Max output tokens
32.0K
Max tokens
32.0K

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
MMLU 74.2% accuracy Base model: Qwen2.5 (Qwen2.5-7B-Instruct) 2026-05-31 Link
MMLU 83.3% accuracy Base model: Qwen2.5 (Qwen2.5-32B-Instruct) 2026-05-31 Link
MATH 49.8% accuracy Base model: Qwen2.5 (Qwen2.5-7B-Instruct) 2026-05-31 Link
MATH 57.7% accuracy Base model: Qwen2.5 (Qwen2.5-32B-Instruct) 2026-05-31 Link
HumanEval 57.9% pass@1 Base model: Qwen2.5 (Qwen2.5-7B-Instruct) 2026-05-31 Link
HumanEval 58.5% pass@1 Base model: Qwen2.5 (Qwen2.5-32B-Instruct) 2026-05-31 Link
Artificial Analysis Coding Index 11.9 score Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) 2026-05-31 Link
GPQA Diamond 49.1% accuracy Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) 2026-05-31 Link
Humanity's Last Exam 4.2% accuracy Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) 2026-05-31 Link
IFBench 36.9% accuracy Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) 2026-05-31 Link
SciCode 26.7% accuracy Base model: qwen2.5 (qwen/qwen-2.5-72b-instruct) 2026-05-31 Link
MMMU 70 score Base model: Qwen2.5-VL (Qwen2.5-VL-32B) 2026-05-31 Link
MMMU-Pro 49.5 score Base model: Qwen2.5-VL (Qwen2.5-VL-32B) 2026-05-31 Link
MMStar 69.5 score Base model: Qwen2.5-VL (Qwen2.5-VL-32B) 2026-05-31 Link
MathVista 74.7 score Base model: Qwen2.5-VL (Qwen2.5-VL-32B) 2026-05-31 Link
MathVision 40.0 score Base model: Qwen2.5-VL (Qwen2.5-VL-32B) 2026-05-31 Link
CC-OCR 77.1 score Base model: Qwen2.5-VL (Qwen2.5-VL-32B) 2026-05-31 Link
DocVQA 94.8 score Base model: Qwen2.5-VL (Qwen2.5-VL-32B) 2026-05-31 Link
InfoVQA 83.4 score Base model: Qwen2.5-VL (Qwen2.5-VL-32B) 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.

Comparing from
Model Cost Input shape Features Context Why it is close
Qwen2.5-VL-72B-Instruct
ovhcloud
In $0.9100 / 1M tokens
Out $0.9100 / 1M tokens
Output: unknown
VisionResponse schema
32.0K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
llama-v3p2-90b-vision-instruct
fireworks_ai
In $0.9000 / 1M tokens
Out $0.9000 / 1M tokens
imagetext
Output: text
VisionResponse schema
16.4K
Partial I/O overlap
Overall 52%
qwen2-72b-instruct
fireworks_ai
In $0.9000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Response schema
32.8K
Partial I/O overlap
Overall 47%
Qwen2.5-Coder-32B-Instruct
ovhcloud
In $0.8700 / 1M tokens
Out $0.8700 / 1M tokens
Output: unknown
Response schema
32.0K
Same provider
Overall 47%
llava-v1.6-mistral-7b-hf
ovhcloud
In $0.2900 / 1M tokens
Out $0.2900 / 1M tokens
Output: unknown
VisionResponse schema
32.0K
Same provider
Overall 46%
Mixtral-8x7B-Instruct-v0.1
ovhcloud
In $0.6300 / 1M tokens
Out $0.6300 / 1M tokens
Output: unknown
Response schema
32.0K
Same provider
Overall 41%
qwen2.5-vl-72b-instruct
novita
In $0.8000 / 1M tokens
Out $0.8000 / 1M tokens
imagetext
Output: text
Vision
32.8K
Partial I/O overlap
Overall 41%
llama-v3p2-11b-vision-instruct
fireworks_ai
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
imagetext
Output: text
VisionResponse schema
16.4K
Partial I/O overlap
Overall 37%
deepseek-v3
fireworks_ai
In $0.9000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Response schema
8.2K
Partial I/O overlap
Overall 36%
deepseek-v3-0324
fireworks_ai
In $0.9000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Response schema
163.8K
Partial I/O overlap
Overall 35%
google.gemini-2.5-flash
oci
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
VisionResponse schema
65.5K
Partial I/O overlap
Overall 33%
nova-pro
vercel_ai_gateway
In $0.8000 / 1M tokens
Out $3.2000 / 1M tokens
imagetext
Output: text
VisionResponse schema
8.2K
Partial I/O overlap
Overall 32%
google.gemini-2.5-pro
oci
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
Output: unknown
VisionResponse schema
65.5K
Partial I/O overlap
Overall 32%
firefunction-v2
fireworks_ai
In $0.9000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Response schema
8.2K
Partial I/O overlap
Overall 30%
llava-7b
llamagate
In $0.1000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
VisionResponse schema
2.0K
Partial I/O overlap
Overall 29%
Mixtral-8x22B-Instruct-v0.1
anyscale
In $0.9000 / 1M tokens
Out $0.9000 / 1M tokens
Output: unknown
Low overlap
65.5K
Partial I/O overlap
Overall 27%
Meta-Llama-3_3-70B-Instruct
ovhcloud
In $0.6700 / 1M tokens
Out $0.6700 / 1M tokens
Output: unknown
Response schema
131.0K
Same provider
Overall 25%
Qwen3-32B
ovhcloud
In $0.0800 / 1M tokens
Out $0.2300 / 1M tokens
Output: unknown
Response schema
32.0K
Same provider
Overall 24%
DeepSeek-R1-Distill-Llama-70B
ovhcloud
In $0.6700 / 1M tokens
Out $0.6700 / 1M tokens
Output: unknown
Response schema
131.0K
Same provider
Overall 23%