Qwen3.8 Max (0902) 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 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team.
- Reasoning estimated
- ▲
- Speed estimated
- ▲
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- ▲131 K
- Input, $ per 1M tokens
- $2.00
- Output, $ per 1M tokens
- $6.00
- Cache read, $ per 1M
- $0.250
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲09/03/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.8-max-0902
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 Max (0902) vs Qwen3 VL 30B A3B Thinking?
- Qwen3 VL 30B A3B Thinking: cheapest input (90% less than Qwen3.8 Max (0902))
- Qwen3 VL 30B A3B Thinking: cheapest output
- Qwen3.8 Max (0902): largest context (1 M)
- Qwen3.8 Max (0902): the newest (09/03/2026)
- Qwen3.8 Max (0902): most reasoning (estimated)
- Qwen3.8 Max (0902): the fastest (estimated)
Qwen3 VL 30B A3B Thinking costs 90% less on input and 60% less on output than Qwen3.8 Max (0902) ($0.200 / $2.40 versus $2.00 / $6.00 per million tokens). Qwen3.8 Max (0902) accepts more context (1 M). On capabilities, Qwen3.8 Max (0902) 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 VL 30B A3B Thinking you save $41.40 a month versus Qwen3.8 Max (0902) (77% 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 30B A3B Thinking Qwen$0.015
- 2Qwen3.8 Max (0902) Qwen$0.152
- 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 Max (0902) vs Qwen3 VL 30B A3B Thinking?
Qwen3 VL 30B A3B Thinking costs 90% less on input and 60% less on output than Qwen3.8 Max (0902) ($0.200 / $2.40 versus $2.00 / $6.00 per million tokens). Qwen3.8 Max (0902) accepts more context (1 M). On capabilities, Qwen3.8 Max (0902) has a reasoning mode.
Which is cheaper: Qwen3.8 Max (0902) and Qwen3 VL 30B A3B Thinking?
Qwen3 VL 30B A3B Thinking is cheaper: $0.200 per million input tokens and $2.40 per million output tokens, versus $2.00 / $6.00 for Qwen3.8 Max (0902).
Which has more context: Qwen3.8 Max (0902) and Qwen3 VL 30B A3B Thinking?
Qwen3.8 Max (0902) accepts 1 M tokens of context; Qwen3 VL 30B A3B Thinking accepts 262 K.
Which is newer: Qwen3.8 Max (0902) and Qwen3 VL 30B A3B Thinking?
Qwen3.8 Max (0902) was released on 09/03/2026; Qwen3 VL 30B A3B Thinking on 02/09/2026.
What would 10,000 requests a month cost with Qwen3.8 Max (0902) and Qwen3 VL 30B A3B Thinking?
With 1,500 input and 400 output tokens per request: Qwen3.8 Max (0902): $54.00; 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.