Gemini 3.8 Flash vs Qwen3 32B
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
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.
- 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
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- 131 K tokens
- Max output
- 16 K
- Input, $ per 1M tokens
- ▲$0.080
- Output, $ per 1M tokens
- ▲$0.280
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 04/01/2025
- Knowledge cutoff
- 2025-04
- API id
- qwen/qwen3-32b
Which is the better API choice: Gemini 3.8 Flash vs Qwen3 32B?
- Qwen3 32B: cheapest input (89% less than Gemini 3.8 Flash)
- Qwen3 32B: cheapest output
- Gemini 3.8 Flash: largest context (1 M)
- Gemini 3.8 Flash: the newest (09/02/2026)
- Qwen3 32B: most reasoning (estimated)
- Gemini 3.8 Flash: the fastest (estimated)
Qwen3 32B costs 89% less on input and 93% less on output than Gemini 3.8 Flash ($0.080 / $0.280 versus $0.750 / $3.75 per million tokens). Gemini 3.8 Flash accepts more context (1 M). On capabilities, Gemini 3.8 Flash accepts images; 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.
With Qwen3 32B you save $23.93 a month versus Gemini 3.8 Flash (91% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 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.
Cost of sending it 1,000 times (input only)
- 1Qwen3 32B Qwen$0.006
- 2Gemini 3.8 Flash Google$0.057
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
Popular comparisons
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- GPT-6.1 Sol vs Gemini 3.8 Flash
- GPT-6.1 Sol vs DeepSeek V4.1 Flash
- GPT-6.1 Sol vs Grok 4.7
- Gemini 3.8 Flash vs DeepSeek V4.1 Flash
- Gemini 3.8 Flash vs Grok 4.7
- DeepSeek V4.1 Flash vs Grok 4.7
Frequently asked questions
Which is the better API choice: Gemini 3.8 Flash vs Qwen3 32B?
Qwen3 32B costs 89% less on input and 93% less on output than Gemini 3.8 Flash ($0.080 / $0.280 versus $0.750 / $3.75 per million tokens). Gemini 3.8 Flash accepts more context (1 M). On capabilities, Gemini 3.8 Flash accepts images; 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 32B?
Qwen3 32B is cheaper: $0.080 per million input tokens and $0.280 per million output tokens, versus $0.750 / $3.75 for Gemini 3.8 Flash.
Which has more context: Gemini 3.8 Flash and Qwen3 32B?
Gemini 3.8 Flash accepts 1 M tokens of context; Qwen3 32B accepts 131 K.
Which is newer: Gemini 3.8 Flash and Qwen3 32B?
Gemini 3.8 Flash was released on 09/02/2026; Qwen3 32B on 04/01/2025.
What would 10,000 requests a month cost with Gemini 3.8 Flash and Qwen3 32B?
With 1,500 input and 400 output tokens per request: Gemini 3.8 Flash: $26.25; Qwen3 32B: $2.32 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.