Comparisons

Gemini 3.5 Flash vs Qwen 3.5

On provider list prices, Qwen 3.5 costs $0.60 per million input tokens against $1.50 for Gemini 3.5 Flash: 2.5x apart. Output is $3.60 against $9 (2.5x).

Gemini 3.5 Flash Qwen 3.5
LabGoogleQwen
AccessAPI onlyOpen weights
Context window1M tokens256K tokens
List price, input$1.5 / M tokens$0.6 / M tokens
List price, output$9 / M tokens$3.6 / M tokens
Cached inputn/a$0.35 / M tokens
LicenseProprietary APIApache 2.0
Fine-tunableNoYes

Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.

What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $1,980 a month on Qwen 3.5 and $4,950 on Gemini 3.5 Flash at list: a gap of $2,970, or 2.5x.

Gemini 3.5 Flash reads 1M tokens per request against 256K for Qwen 3.5, 3.8x the window. That decides which one can take whole documents without splitting them.

Qwen 3.5$0.60$3.60
Gemini 3.5 Flash$1.50$9
InputOutput

Choose Gemini 3.5 Flash for

  • High-volume support and triage
  • Document extraction at scale
  • Vision and OCR pipelines
Gemini 3.5 Flash details

Choose Qwen 3.5 for

  • Multilingual support agents
  • Translation-adjacent workflows
  • Fine-tuning under Apache 2.0
Qwen 3.5 details

Common questions

Which is cheaper, Gemini 3.5 Flash or Qwen 3.5?

Qwen 3.5, on this workload shape. At list prices it is $0.60/$3.60 per million tokens in and out against $1.50/$9 for Gemini 3.5 Flash. Billed on Allocate: $0.64/$3.85 against $1.60/$9.63.

Which has the bigger context window?

Gemini 3.5 Flash: 1,000,000 tokens (1M) against 262,144 (256K) for Qwen 3.5.

Can I fine-tune Gemini 3.5 Flash or Qwen 3.5?

Qwen 3.5 publishes open weights (Apache 2.0) and can be fine-tuned on your own data. Gemini 3.5 Flash is a closed model served over API; its weights are not available.

Related comparisons

Run the numbers on your workload

Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.