Qwen3.8 Flash vs Qwen3 VL 235B A22B Instruct
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 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-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- 33 K
- Input, $ per 1M tokens
- $0.210
- Output, $ per 1M tokens
- $1.90
- Cache read, $ per 1M
- $0.100
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 09/23/2025
- Knowledge cutoff
- 2025-03-31
- API id
- qwen/qwen3-vl-235b-a22b-instruct
Which is the better API choice: Qwen3.8 Flash vs Qwen3 VL 235B A22B Instruct?
- Qwen3.8 Flash: cheapest input (29% less than Qwen3 VL 235B A22B Instruct)
- 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 29% less on input and 75% less on output than Qwen3 VL 235B A22B Instruct ($0.150 / $0.470 versus $0.210 / $1.90 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 $6.62 a month versus Qwen3 VL 235B A22B Instruct (62% 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 V4.1 Flash DeepSeek$1.57
- 5DeepSeek V4 Flash 0731 DeepSeek$1.85
- 6Ministral 3 3B 2512 Mistral$1.90
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)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2Qwen3.8 Flash Qwen$0.011
- 3Qwen3 VL 235B A22B Instruct Qwen$0.016
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.2 Anthropic$0.608
- 8Claude Fable 5.1 Anthropic$0.760
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See allFrequently asked questions
Which is the better API choice: Qwen3.8 Flash vs Qwen3 VL 235B A22B Instruct?
Qwen3.8 Flash costs 29% less on input and 75% less on output than Qwen3 VL 235B A22B Instruct ($0.150 / $0.470 versus $0.210 / $1.90 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 235B A22B Instruct?
Qwen3.8 Flash is cheaper: $0.150 per million input tokens and $0.470 per million output tokens, versus $0.210 / $1.90 for Qwen3 VL 235B A22B Instruct.
Which has more context: Qwen3.8 Flash and Qwen3 VL 235B A22B Instruct?
Qwen3.8 Flash accepts 1 M tokens of context; Qwen3 VL 235B A22B Instruct accepts 262 K.
Which is newer: Qwen3.8 Flash and Qwen3 VL 235B A22B Instruct?
Qwen3.8 Flash was released on 08/26/2026; Qwen3 VL 235B A22B Instruct on 09/23/2025.
What would 10,000 requests a month cost with Qwen3.8 Flash and Qwen3 VL 235B A22B Instruct?
With 1,500 input and 400 output tokens per request: Qwen3.8 Flash: $4.13; Qwen3 VL 235B A22B Instruct: $10.75 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.