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Qwen3.7 Plus

alibaba/qwen3.7-plus

Multimodal Qwen workhorse for long-context agents, visual inputs, and coding

Source-linkedqwenClosed weightsReleased 2026-06-02
Report data
Context window1M
Maximum output64K
Provider offers15
Knowledge cutoff2025-04
Capabilities

What this model supports

ReasoningYes
Tool callingYes
Structured outputNo
AttachmentsNo
Temperature controlYes
Open weightsNo
Creator
Alibaba Qwen
Family
qwen
Modalities
Image, Text
License
Not documented
Release date
2026-06-02
Model ID
alibaba/qwen3.7-plus
Market availability

Provider pricing

Report price →
Providers offering Qwen3.7 Plus
ProviderProvider model IDContextInput / 1MOutput / 1MCached / 1MFeaturesAll pricing
Alibaba Token Planqwen3.7-plus1M$0.000$0.000$0.000R T ·
View
{
  "cache_read": 0,
  "cache_write": 0,
  "input": 0,
  "output": 0
}
Kenariqwen3-7-plus1M$0.000$0.000R T ·
View
{
  "input": 0,
  "output": 0
}
Alibaba Coding Plan (China)qwen3.7-plus1M$0.000$0.000$0.000R T ·
View
{
  "cache_read": 0,
  "cache_write": 0,
  "input": 0,
  "output": 0
}
Alibaba Token Plan (China)qwen3.7-plus1M$0.000$0.000$0.000R T ·
View
{
  "cache_read": 0,
  "cache_write": 0,
  "input": 0,
  "output": 0
}
Alibaba Coding Planqwen3.7-plus1M$0.000$0.000$0.000R T ·
View
{
  "cache_read": 0,
  "cache_write": 0,
  "input": 0,
  "output": 0
}
AIHubMixqwen3.7-plus991K$0.282$1.128$0.056R T S
View
{
  "cache_read": 0.0564,
  "cache_write": 0.3525,
  "input": 0.282,
  "output": 1.128
}
CrossModelqwen/qwen3.7-plus1M$0.320$1.250$0.032R T ·
View
{
  "cache_read": 0.032,
  "cache_write": 0.4,
  "context_over_200k": {
    "cache_read": 0.096,
    "cache_write": 1.2,
    "input": 0.96,
    "output": 3.75
  },
  "input": 0.32,
  "output": 1.25,
  "tiers": [
    {
      "cache_read": 0.096,
      "cache_write": 1.2,
      "input": 0.96,
      "output": 3.75,
      "tier": {
        "size": 256000,
        "type": "context"
      }
    }
  ]
}
Pioneerqwen3.7-plus1M$0.320$1.280$0.064R T ·
View
{
  "cache_read": 0.064,
  "cache_write": 0.4,
  "input": 0.32,
  "output": 1.28
}
OpenRouterqwen/qwen3.7-plus1M$0.320$1.280$0.064R T S
View
{
  "cache_read": 0.064,
  "cache_write": 0.4,
  "input": 0.32,
  "output": 1.28
}
EmpirioLabs AIqwen3-7-plus1M$0.400$1.600R T S
View
{
  "context_over_200k": {
    "input": 1.2,
    "output": 4.8
  },
  "input": 0.4,
  "output": 1.6,
  "tiers": [
    {
      "input": 1.2,
      "output": 4.8,
      "tier": {
        "size": 256000,
        "type": "context"
      }
    }
  ]
}
Vercel AI Gatewayalibaba/qwen3.7-plus1M$0.400$1.600$0.080R T ·
View
{
  "cache_read": 0.08,
  "cache_write": 0.5,
  "input": 0.4,
  "output": 1.6
}
ZenMuxqwen/qwen3.7-plus1M$0.400$1.600$0.080R T ·
View
{
  "cache_read": 0.08,
  "cache_write": 0.5,
  "context_over_200k": {
    "cache_read": 0.24,
    "cache_write": 1.5,
    "input": 1.2,
    "output": 4.8
  },
  "input": 0.4,
  "output": 1.6,
  "tiers": [
    {
      "cache_read": 0.24,
      "cache_write": 1.5,
      "input": 1.2,
      "output": 4.8,
      "tier": {
        "size": 256000,
        "type": "context"
      }
    }
  ]
}
LLM Gatewayqwen3.7-plus1M$0.400$1.600$0.080R T ·
View
{
  "cache_read": 0.08,
  "cache_write": 0.5,
  "input": 0.4,
  "output": 1.6
}
Alibabaqwen3.7-plus1M$0.500$3.000$0.050R T ·
View
{
  "cache_read": 0.05,
  "cache_write": 0.625,
  "context_over_200k": {
    "cache_read": 0.2,
    "cache_write": 2.5,
    "input": 2,
    "output": 6
  },
  "input": 0.5,
  "output": 3,
  "tiers": [
    {
      "cache_read": 0.2,
      "cache_write": 2.5,
      "input": 2,
      "output": 6,
      "tier": {
        "size": 256000,
        "type": "context"
      }
    }
  ]
}
Alibaba (China)qwen3.7-plus1M$0.500$3.000$0.050R T ·
View
{
  "cache_read": 0.05,
  "cache_write": 0.625,
  "input": 0.5,
  "output": 3,
  "tiers": [
    {
      "cache_read": 0.2,
      "cache_write": 2.5,
      "input": 2,
      "output": 6,
      "tier": {
        "size": 128000,
        "type": "context"
      }
    }
  ]
}
Evidence

Published benchmark results

Insufficient benchmark coverage. ModelBench does not infer a score from price, context size, or model name.