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qwen-plus-2025-04-28

dashscope · chat model

qwen-plus-2025-04-28 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
$0.4000 / 1M tokens
Output
$1.2000 / 1M tokens
Cached input
N/A
Context
16.4K
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
$0.4000 / 1M tokens
Output
$1.2000 / 1M tokens
Reasoning output
$4.0000 / 1M tokens
Embedding
$0.4000 / 1M tokens

Token limits

Context window
16.4K
Max input tokens
129.0K
Max output tokens
16.4K
Max tokens
16.4K

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
qwen-plus-2025-04-28
dashscope
In $0.4000 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
16.4K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
qwen-plus
dashscope
In $0.4000 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
16.4K
Same provider
Overall 60%
qwen-plus-2025-07-14
dashscope
In $0.4000 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
16.4K
Same provider
Overall 60%
qwen-coder
dashscope
In $0.3000 / 1M tokens
Out $1.5000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
16.4K
Same provider
Overall 56%
qwen-plus-2025-01-25
dashscope
In $0.4000 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
8.2K
Same provider
Overall 53%
qwen.qwen3-32b-v1:0
bedrock_converse
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
16.4K
Partial I/O overlap
Overall 49%
Qwen3-32B
sambanova
In $0.4000 / 1M tokens
Out $0.8000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
8.2K
Partial I/O overlap
Overall 49%
MiniMax-M2.7
sambanova
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
131.1K
Partial I/O overlap
Overall 45%
qwen-3-32b
cerebras
In $0.4000 / 1M tokens
Out $0.8000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
128.0K
Partial I/O overlap
Overall 43%
qwen3-next-80b-a3b-thinking
dashscope
In $0.1500 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
65.5K
Same provider
Overall 43%
qwen-turbo
dashscope
In $0.0500 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
16.4K
Same provider
Overall 43%
ernie-4.5-vl-424b-a47b
novita
In $0.4200 / 1M tokens
Out $1.2500 / 1M tokens
imagetext
Output: text
Reasoning
16.0K
Partial I/O overlap
Overall 39%
deepseek.v3.2
Bedrock
In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 37%
deepseek.v3.2
Bedrock
In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 37%
deepseek.v3.2
Bedrock
In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 37%
deepseek.v3.2
Bedrock
In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 37%
deepseek.v3.2
Bedrock
In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 37%
Phi-4-reasoning
azure_ai
In $0.1250 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
4.1K
Partial I/O overlap
Overall 36%
llama-4-maverick-17b-128e-instruct-maas
vertex_ai-llama_models
In $0.3500 / 1M tokens
Out $1.1500 / 1M tokens
Output: code, text
Function callingTool choice
1.0M
Partial I/O overlap
Overall 35%
llama-4-maverick-17b-16e-instruct-maas
vertex_ai-llama_models
In $0.3500 / 1M tokens
Out $1.1500 / 1M tokens
Output: code, text
Function callingTool choice
1.0M
Partial I/O overlap
Overall 35%