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qwen3-vl-32b-instruct

dashscope · chat model

qwen3-vl-32b-instruct is listed here as a chat model from dashscope. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.1600 / 1M tokens
Output
$0.6400 / 1M tokens
Cached input
N/A
Context
32.8K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmarks Review benchmark rows by family and benchmark label without cross-benchmark ranking. Check data sources See how pricing data is generated and what still needs provider verification.

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
$0.1600 / 1M tokens
Output
$0.6400 / 1M tokens
Embedding
$0.1600 / 1M tokens

Token limits

Context window
32.8K
Max input tokens
131.1K
Max output tokens
32.8K
Max tokens
32.8K

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 —

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
qwen3-vl-32b-instruct
dashscope
In $0.1600 / 1M tokens
Out $0.6400 / 1M tokens
Output: unknown
VisionFunction callingTool choice
32.8K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
Llama-4-Scout-17B-16E-Instruct
azure_ai
In $0.2000 / 1M tokens
Out $0.7800 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
16.4K
Partial I/O overlap
Overall 49%
qwen3-vl-235b-a22b-instruct
dashscope
In $0.4000 / 1M tokens
Out $1.6000 / 1M tokens
Output: unknown
VisionFunction callingTool choice
32.8K
Same provider
Overall 48%
Qwen2.5-VL-32B-Instruct
deepinfra
In $0.2000 / 1M tokens
Out $0.6000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
128.0K
Partial I/O overlap
Overall 46%
gpt-4.1-nano
vercel_ai_gateway
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
32.8K
Partial I/O overlap
Overall 46%
Qwen3-235B-A22B
deepinfra
In $0.1800 / 1M tokens
Out $0.5400 / 1M tokens
text
Output: text
Function callingTool choice
41.0K
Partial I/O overlap
Overall 46%
qwen3-vl-32b-thinking
dashscope
In $0.1600 / 1M tokens
Out $2.8700 / 1M tokens
Output: unknown
VisionFunction callingTool choice
32.8K
Same provider
Overall 45%
nvidia.nemotron-super-3-120b
bedrock_converse
In $0.1500 / 1M tokens
Out $0.6500 / 1M tokens
text
Output: text
Function callingTool choice
32.8K
Partial I/O overlap
Overall 44%
llama-3.2-90b
vercel_ai_gateway
In $0.7200 / 1M tokens
Out $0.7200 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
8.2K
Partial I/O overlap
Overall 41%
llama-3.2-11b
vercel_ai_gateway
In $0.1600 / 1M tokens
Out $0.1600 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
8.2K
Partial I/O overlap
Overall 41%
mistral-small-2503
azure_ai
In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
128.0K
Partial I/O overlap
Overall 40%
Llama-4-Maverick-17B-128E-Instruct-FP8
azure_ai
In $1.4100 / 1M tokens
Out $0.3500 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
16.4K
Partial I/O overlap
Overall 40%
gpt-4o-mini-2024-07-18
Azure
In $0.1650 / 1M tokens
Out $0.6600 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
16.4K
Partial I/O overlap
Overall 39%
gpt-4o-mini
Azure
In $0.1650 / 1M tokens
Out $0.6600 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
16.4K
Partial I/O overlap
Overall 39%
gpt-4o-mini-2024-07-18
Azure
In $0.1650 / 1M tokens
Out $0.6600 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
16.4K
Partial I/O overlap
Overall 39%
gpt-4o-mini-2024-07-18
Azure
In $0.1650 / 1M tokens
Out $0.6600 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
16.4K
Partial I/O overlap
Overall 39%
qwen3-vl-235b-a22b-thinking
dashscope
In $0.4000 / 1M tokens
Out $4.0000 / 1M tokens
Output: unknown
VisionFunction callingTool choice
32.8K
Same provider
Overall 39%
qwen3-next-80b-a3b-instruct
dashscope
In $0.1500 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choice
65.5K
Same provider
Overall 38%
claude-3-haiku
OpenRouter
In $0.2500 / 1M tokens
Out $1.2500 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
4.1K
Partial I/O overlap
Overall 38%
claude-3-haiku
vertex_ai-anthropic_models
In $0.2500 / 1M tokens
Out $1.2500 / 1M tokens
Output: unknown
VisionFunction callingTool choice
4.1K
Partial I/O overlap
Overall 38%
mistral-large-3
azure_ai
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
8.2K
Partial I/O overlap
Overall 36%
Llama-3.2-11B-Vision-Instruct
azure_ai
In $0.3700 / 1M tokens
Out $0.3700 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
2.0K
Partial I/O overlap
Overall 36%
qwen3-next-80b-a3b-thinking
dashscope
In $0.1500 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choice
65.5K
Same provider
Overall 34%
qwen3-vl-plus
dashscope
In N/A
Out N/A
Output: unknown
VisionFunction callingTool choice
32.8K
Same provider
Overall 34%
Phi-3.5-MoE-instruct
azure_ai
In $0.1600 / 1M tokens
Out $0.6400 / 1M tokens
text
Output: text
Tool choice
4.1K
Partial I/O overlap
Overall 30%
Llama-3.2-90B-Vision-Instruct
azure_ai
In $2.0400 / 1M tokens
Out $2.0400 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
2.0K
Partial I/O overlap
Overall 30%