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qwen3-max

dashscope · chat model

qwen3-max 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
N/A
Output
N/A
Cached input
N/A
Context
65.5K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Explore benchmark family Review source-backed benchmark rows for the attached base model family. 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

Token limits

Context window
65.5K
Max input tokens
258.0K
Max output tokens
65.5K
Max tokens
65.5K

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
Artificial Analysis Intelligence Index 31.3 index score Base model: Qwen3 Max (qwen/qwen3-max) 2026-05-31 Link
Artificial Analysis Coding Index 26.4 index score Base model: Qwen3 Max (qwen/qwen3-max) 2026-05-31 Link
Artificial Analysis Agentic Index 43.0 index score Base model: Qwen3 Max (qwen/qwen3-max) 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
qwen3-max
dashscope
In N/A
Out N/A
Output: unknown
Function callingTool choiceReasoning
65.5K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
qwen3-coder-flash
dashscope
In N/A
Out N/A
Output: unknown
Function callingTool choiceReasoning
65.5K
Same provider
Overall 40%
qwen3-coder-flash-2025-07-28
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In N/A
Out N/A
Output: unknown
Function callingTool choiceReasoning
65.5K
Same provider
Overall 40%
qwen3-coder-plus
dashscope
In N/A
Out N/A
Output: unknown
Function callingTool choiceReasoning
65.5K
Same provider
Overall 40%
qwen3-coder-plus-2025-07-22
dashscope
In N/A
Out N/A
Output: unknown
Function callingTool choiceReasoning
65.5K
Same provider
Overall 40%
qwen3-max-preview
dashscope
In N/A
Out N/A
Output: unknown
Function callingTool choiceReasoning
65.5K
Same provider
Overall 40%
qwen3-max-2026-01-23
dashscope
In N/A
Out N/A
Output: unknown
Function callingTool choiceReasoning
65.5K
Same provider
Overall 40%
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 31%
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 31%
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 31%
deepseek.v3.2
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In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 31%
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 31%
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 26%
Llama-3.2-3B-Instruct
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In $0.0200 / 1M tokens
Out $0.0200 / 1M tokens
text
Output: text
Function callingTool choice
131.1K
Partial I/O overlap
Overall 24%
llama3.2-3b-instruct
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In $0.0150 / 1M tokens
Out $0.0250 / 1M tokens
Output: unknown
Function callingTool choice
131.1K
Partial I/O overlap
Overall 18%
llama3.2-11b-vision-instruct
lambda_ai
In $0.0150 / 1M tokens
Out $0.0250 / 1M tokens
Output: unknown
Function callingTool choice
131.1K
Partial I/O overlap
Overall 16%
paddleocr-vl
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In $0.0200 / 1M tokens
Out $0.0200 / 1M tokens
imagetext
Output: text
Low overlap
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Partial I/O overlap
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titan-embed-text-v2
vercel_ai_gateway
In $0.0200 / 1M tokens
Out N/A
text
Output: embedding
Low overlap
0
Partial I/O overlap
Overall 0%
Qwen2.5-Coder-3B-Instruct
nscale
In $0.0100 / 1M tokens
Out $0.0300 / 1M tokens
Output: unknown
Low overlap
N/A
Partial I/O overlap
Overall 0%