Qwen3.8 Flash vs Qwen3 VL 30B A3B Thinking
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Qwen3.8 Flash is a multimodal reasoning model from Alibaba.
- Reasoning estimated
- ▲
- Speed estimated
- ▲
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- ▲131 K
- Input, $ per 1M tokens
- ▲$0.150
- Output, $ per 1M tokens
- ▲$0.470
- Cache read, $ per 1M
- $0.016
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲08/26/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.8-flash
Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- 33 K
- Input, $ per 1M tokens
- $0.200
- Output, $ per 1M tokens
- $2.40
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 02/09/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3-vl-30b-a3b-thinking
Which is the better API choice: Qwen3.8 Flash vs Qwen3 VL 30B A3B Thinking?
- Qwen3.8 Flash: cheapest input (25% less than Qwen3 VL 30B A3B Thinking)
- Qwen3.8 Flash: cheapest output
- Qwen3.8 Flash: largest context (1 M)
- Qwen3.8 Flash: the newest (08/26/2026)
- Qwen3.8 Flash: most reasoning (estimated)
- Qwen3.8 Flash: the fastest (estimated)
Qwen3.8 Flash costs 25% less on input and 80% less on output than Qwen3 VL 30B A3B Thinking ($0.150 / $0.470 versus $0.200 / $2.40 per million tokens). Qwen3.8 Flash accepts more context (1 M). On capabilities, Qwen3.8 Flash has a reasoning mode.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Qwen3.8 Flash you save $8.47 a month versus Qwen3 VL 30B A3B Thinking (67% 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)
- 1Qwen3.8 Flash Qwen$0.011
- 2Qwen3 VL 30B A3B Thinking Qwen$0.015
- 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
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- 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: Qwen3.8 Flash vs Qwen3 VL 30B A3B Thinking?
Qwen3.8 Flash costs 25% less on input and 80% less on output than Qwen3 VL 30B A3B Thinking ($0.150 / $0.470 versus $0.200 / $2.40 per million tokens). Qwen3.8 Flash accepts more context (1 M). On capabilities, Qwen3.8 Flash has a reasoning mode.
Which is cheaper: Qwen3.8 Flash and Qwen3 VL 30B A3B Thinking?
Qwen3.8 Flash is cheaper: $0.150 per million input tokens and $0.470 per million output tokens, versus $0.200 / $2.40 for Qwen3 VL 30B A3B Thinking.
Which has more context: Qwen3.8 Flash and Qwen3 VL 30B A3B Thinking?
Qwen3.8 Flash accepts 1 M tokens of context; Qwen3 VL 30B A3B Thinking accepts 262 K.
Which is newer: Qwen3.8 Flash and Qwen3 VL 30B A3B Thinking?
Qwen3.8 Flash was released on 08/26/2026; Qwen3 VL 30B A3B Thinking on 02/09/2026.
What would 10,000 requests a month cost with Qwen3.8 Flash and Qwen3 VL 30B A3B Thinking?
With 1,500 input and 400 output tokens per request: Qwen3.8 Flash: $4.13; Qwen3 VL 30B A3B Thinking: $12.60 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.