Gemini 3.8 Flash vs Qwen3.5-Flash

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on September 30, 2026· 217 models

Google3.8 Flash

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

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Reasoning estimated
Speed estimated
Input
Output
Context
▲1 M tokens
Max output
66 K
Input, $ per 1M tokens
$0.750
Output, $ per 1M tokens
$3.75
Cache read, $ per 1M
$0.075
Batch (input / output)
$0.375 / $1.88
Tool calling
Yes
Released
▲09/02/2026
Knowledge cutoff
—
API id
google/gemini-3.8-flash
QwenQwen3.5-Flash

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.

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Reasoning estimated
Speed estimated
Input
Output
Context
1 M tokens
Max output
66 K
Input, $ per 1M tokens
▲$0.065
Output, $ per 1M tokens
▲$0.260
Cache read, $ per 1M
—
Batch (input / output)
—
Tool calling
Yes
Released
02/25/2026
Knowledge cutoff
—
API id
qwen/qwen3.5-flash-02-23
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: Gemini 3.8 Flash vs Qwen3.5-Flash?

  • Qwen3.5-Flash: cheapest input (91% less than Gemini 3.8 Flash)
  • Qwen3.5-Flash: cheapest output
  • Gemini 3.8 Flash: largest context (1 M)
  • Gemini 3.8 Flash: the newest (09/02/2026)

Qwen3.5-Flash costs 91% less on input and 93% less on output than Gemini 3.8 Flash ($0.065 / $0.260 versus $0.750 / $3.75 per million tokens). Gemini 3.8 Flash accepts more context (1 M). On capabilities, only Gemini 3.8 Flash accepts audio. Gemini 3.8 Flash offers a batch tier at half price for jobs that do not need an immediate answer.

What would your product cost?

Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.

Gemini 3.8 Flash
$26.25/mo
Qwen3.5-Flash
$2.02/mo

With Qwen3.5-Flash you save $24.24 a month versus Gemini 3.8 Flash (92% less).

The 6 cheapest for this scenario (chat, last 12 months)

  1. 1Lyria 3 Pro Preview Google$0.00
  2. 2Lyria 3 Clip Preview Google$0.00
  3. 3Qwen3.7 Flash Qwen$0.97
  4. 4DeepSeek V4 Flash 0731 DeepSeek$1.55
  5. 5Ministral 3 3B 2512 Mistral$1.90
  6. 6Qwen3.5-Flash Qwen$2.02

Paste your prompt: tokens and cost per model

Rough estimate (about 4 characters per token). Nothing is sent to any server.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1Qwen3.5-Flash Qwen$0.005
  2. 2Gemini 3.8 Flash Google$0.057
  3. 3Claude Sonnet 5.5 Anthropic$0.152
  4. 4Claude Sonnet 5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.1 Anthropic$0.760
  8. 8Claude Fable 5 Anthropic$0.760

Popular comparisons

Frequently asked questions

Which is the better API choice: Gemini 3.8 Flash vs Qwen3.5-Flash?

Qwen3.5-Flash costs 91% less on input and 93% less on output than Gemini 3.8 Flash ($0.065 / $0.260 versus $0.750 / $3.75 per million tokens). Gemini 3.8 Flash accepts more context (1 M). On capabilities, only Gemini 3.8 Flash accepts audio. Gemini 3.8 Flash offers a batch tier at half price for jobs that do not need an immediate answer.

Which is cheaper: Gemini 3.8 Flash and Qwen3.5-Flash?

Qwen3.5-Flash is cheaper: $0.065 per million input tokens and $0.260 per million output tokens, versus $0.750 / $3.75 for Gemini 3.8 Flash.

Which has more context: Gemini 3.8 Flash and Qwen3.5-Flash?

Gemini 3.8 Flash accepts 1 M tokens of context; Qwen3.5-Flash accepts 1 M.

Which is newer: Gemini 3.8 Flash and Qwen3.5-Flash?

Gemini 3.8 Flash was released on 09/02/2026; Qwen3.5-Flash on 02/25/2026.

What would 10,000 requests a month cost with Gemini 3.8 Flash and Qwen3.5-Flash?

With 1,500 input and 400 output tokens per request: Gemini 3.8 Flash: $26.25; Qwen3.5-Flash: $2.02 a month, at list price.

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.