Qwen3.8 Omni Flash vs Qwen3 VL 32B Instruct
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding.
- 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
- ▲09/17/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.8-omni-flash
Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 131 K tokens
- Max output
- 33 K
- Input, $ per 1M tokens
- ▲$0.104
- Output, $ per 1M tokens
- ▲$0.416
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 10/23/2025
- Knowledge cutoff
- —
- API id
- qwen/qwen3-vl-32b-instruct
Which is the better API choice: Qwen3.8 Omni Flash vs Qwen3 VL 32B Instruct?
- Qwen3 VL 32B Instruct: cheapest input (31% less than Qwen3.8 Omni Flash)
- Qwen3 VL 32B Instruct: cheapest output
- Qwen3.8 Omni Flash: largest context (1 M)
- Qwen3.8 Omni Flash: the newest (09/17/2026)
- Qwen3.8 Omni Flash: most reasoning (estimated)
- Qwen3.8 Omni Flash: the fastest (estimated)
Qwen3 VL 32B Instruct costs 31% less on input and 11% less on output than Qwen3.8 Omni Flash ($0.104 / $0.416 versus $0.150 / $0.470 per million tokens). Qwen3.8 Omni Flash accepts more context (1 M). On capabilities, Qwen3.8 Omni Flash has a reasoning mode; only Qwen3.8 Omni Flash accepts audio.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Qwen3 VL 32B Instruct you save $0.91 a month versus Qwen3.8 Omni Flash (22% 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 VL 32B Instruct Qwen$0.008
- 2Qwen3.8 Omni Flash Qwen$0.011
- 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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Frequently asked questions
Which is the better API choice: Qwen3.8 Omni Flash vs Qwen3 VL 32B Instruct?
Qwen3 VL 32B Instruct costs 31% less on input and 11% less on output than Qwen3.8 Omni Flash ($0.104 / $0.416 versus $0.150 / $0.470 per million tokens). Qwen3.8 Omni Flash accepts more context (1 M). On capabilities, Qwen3.8 Omni Flash has a reasoning mode; only Qwen3.8 Omni Flash accepts audio.
Which is cheaper: Qwen3.8 Omni Flash and Qwen3 VL 32B Instruct?
Qwen3 VL 32B Instruct is cheaper: $0.104 per million input tokens and $0.416 per million output tokens, versus $0.150 / $0.470 for Qwen3.8 Omni Flash.
Which has more context: Qwen3.8 Omni Flash and Qwen3 VL 32B Instruct?
Qwen3.8 Omni Flash accepts 1 M tokens of context; Qwen3 VL 32B Instruct accepts 131 K.
Which is newer: Qwen3.8 Omni Flash and Qwen3 VL 32B Instruct?
Qwen3.8 Omni Flash was released on 09/17/2026; Qwen3 VL 32B Instruct on 10/23/2025.
What would 10,000 requests a month cost with Qwen3.8 Omni Flash and Qwen3 VL 32B Instruct?
With 1,500 input and 400 output tokens per request: Qwen3.8 Omni Flash: $4.13; Qwen3 VL 32B Instruct: $3.22 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.