Qwen3.7 Flash vs Qwen3.7 Plus

Qwen3.7 Flash and Qwen3.7 Plus side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.

Alibaba Cloud Text Generation

Qwen3.7 Flash vs Qwen3.7 Plus at a glance

Qwen3.7 Flash and Qwen3.7 Plus are both Alibaba Cloud models in the Text Generation category, available through the EmpirioLabs API.

Key differences

  • Qwen3.7 Flash is the newer release (Jul 15, 2026); Qwen3.7 Plus was released on Jun 1, 2026.
  • Both models have a context window of 983.6K tokens.
  • Capabilities listed only for Qwen3.7 Flash: cache.
  • Capabilities listed only for Qwen3.7 Plus: fine tuning.
  • Both models list the same rate for Web search (per call when invoked) and Text-to-image search (per call when invoked).

Qwen3.7 Flash vs Qwen3.7 Plus: specs

SpecQwen3.7 FlashQwen3.7 Plus
Model IDqwen3-7-flashqwen3-7-plus
AuthorAlibaba CloudAlibaba Cloud
ReleasedJul 15, 2026Jun 1, 2026
Context window983.6K tokens983.6K tokens
Max output65,536 tokens65,536 tokens
Input
Text Image Video
Text Image Video
Output
Text
Text
Structured outputJSON SchemaJSON Schema
RegionSingaporeSingapore
Endpoints
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/qwen3-7-flash:generateContent
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/qwen3-7-plus:generateContent
Capabilities
reasoning vision video web search code interpreter function calling prefix continuation cache agentic coding
reasoning vision video web search code interpreter function calling prefix continuation fine tuning agentic coding

Qwen3.7 Flash vs Qwen3.7 Plus: API pricing

Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.

Type
Spec
Rate
Input
per 1M prompt tokens
<=32K $0.03 32K-256K $0.10 256K-1M $0.20
Output
per 1M generated tokens
<=32K $0.13 32K-256K $0.40 256K-1M $0.80
Implicit cache read
per 1M cached input tokens
<=32K $0.006 32K-256K $0.02 256K-1M $0.04
Web search
per call when invoked
$0.03
Text-to-image search
per call when invoked
$0.03
Image-to-image search
per call when invoked
$0.03
Web extractor
per call when invoked
$0.00
Code interpreter
per call when invoked
$0.00
Compare on the full pricing page
Type
Spec
Rate
Input
per 1M prompt tokens
<=256K $0.40 256K-1M $1.20
Output
per 1M generated tokens
<=256K $1.60 256K-1M $4.80
Web search
per call when invoked
$0.03
Text-to-image search
per call when invoked
$0.03
Image-to-image search
per call when invoked
$0.03
Web extractor
per call when invoked
$0.00
Code interpreter
per call when invoked
$0.00
Compare on the full pricing page

Qwen3.7 Flash vs Qwen3.7 Plus: API parameters

Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.

ParameterQwen3.7 FlashQwen3.7 Plus
temperature0 to 1.99 Default: 0.70 to 1.99 Default: 0.7
top_p0 to 1 Default: 0.90 to 1 Default: 0.9
max_tokens1 to 655361 to 131072
stopstringstring
enable_thinkingboolean Default: trueboolean Default: true
reasoning_effortnone, low, medium, high, maxnone, low, medium, high, max
thinking_budget1 to 1310721 to 262144
preserve_thinkingboolean Default: falseboolean Default: false
seed0 to 21474836470 to 2147483647
top_k1 to 1001 to 100
presence_penalty-2 to 2-2 to 2
repetition_penalty0.1 to 20.1 to 2
n1 to 4 Default: 11 to 4 Default: 1
logprobsboolean Default: falseboolean Default: false
top_logprobs0 to 5 Default: 00 to 5 Default: 0
vl_high_resolution_imagesboolean Default: trueboolean Default: true

Qwen3.7 Flash vs Qwen3.7 Plus: limits and notes

Qwen3.7 Flash

Token pricing is tiered by prompt size and steps up above 32K and again above 256K input tokens. Cached prompt tokens are billed at the implicit cache rate for the matching tier. Web Search, Text-to-Image Search, and Image-to-Image Search are billed only when invoked.

Text-to-Image Search and Image-to-Image Search use the Image Search pricing row. Thinking tokens are billed as output tokens.

Qwen3.7 Plus

Pricing is 3x for input/output above 256K tokens. Web Search, Text-to-Image Search, and Image-to-Image Search are billed only when invoked.

Text-to-Image Search and Image-to-Image Search use the Image Search pricing row. Thinking tokens are billed as output tokens.

How to call Qwen3.7 Flash and Qwen3.7 Plus

Qwen3.7 Flash serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id qwen3-7-flash. Both models are called through the same endpoint. Set model to qwen3-7-flash or qwen3-7-plus. Get an API key from the EmpirioLabs dashboard.

cURL
curl https://api.empiriolabs.ai/v1/chat/completions \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3-7-flash",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

Qwen3.7 Flash vs Qwen3.7 Plus: common questions

What is the difference between Qwen3.7 Flash and Qwen3.7 Plus?

Qwen3.7 Flash is the newer release (Jul 15, 2026); Qwen3.7 Plus was released on Jun 1, 2026. Both models have a context window of 983.6K tokens. Capabilities listed only for Qwen3.7 Flash: cache. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, Qwen3.7 Flash or Qwen3.7 Plus?

Qwen3.7 Flash is the newer release (Jul 15, 2026); Qwen3.7 Plus was released on Jun 1, 2026.

Which has the lower rate, Qwen3.7 Flash or Qwen3.7 Plus?

Both models list the same rate for Web search (per call when invoked) and Text-to-image search (per call when invoked). Both live rate cards are on this page and always match what the API charges.

Can I switch between Qwen3.7 Flash and Qwen3.7 Plus without rebuilding my integration?

Yes. Both models use POST /v1/chat/completions with the same EmpirioLabs API key, so most integrations switch by changing the model value. Check the parameters table on this page first if you rely on a model-specific parameter.

Can I try Qwen3.7 Flash and Qwen3.7 Plus in the browser before integrating?

Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.

Ready to use better endpoints?

Check out our pricing or reach out if you want your own model deployed on our stack.