Qwen3.8 Omni Flash vs Qwen3 Max Thinking
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-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- 66 K
- Input, $ per 1M tokens
- $0.780
- Output, $ per 1M tokens
- $3.90
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 02/09/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3-max-thinking
Which is the better API choice: Qwen3.8 Omni Flash vs Qwen3 Max Thinking?
- Qwen3.8 Omni Flash: cheapest input (81% less than Qwen3 Max Thinking)
- Qwen3.8 Omni Flash: cheapest output
- Qwen3.8 Omni Flash: largest context (1 M)
- Qwen3.8 Omni Flash: the newest (09/17/2026)
- Qwen3 Max Thinking: most reasoning (estimated)
- Qwen3.8 Omni Flash: the fastest (estimated)
Qwen3.8 Omni Flash costs 81% less on input and 88% less on output than Qwen3 Max Thinking ($0.150 / $0.470 versus $0.780 / $3.90 per million tokens). Qwen3.8 Omni Flash accepts more context (1 M). On capabilities, Qwen3.8 Omni Flash accepts images; 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 Qwen3.8 Omni Flash you save $23.17 a month versus Qwen3 Max Thinking (85% 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 Omni Flash Qwen$0.011
- 2Qwen3 Max Thinking Qwen$0.059
- 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: Qwen3.8 Omni Flash vs Qwen3 Max Thinking?
Qwen3.8 Omni Flash costs 81% less on input and 88% less on output than Qwen3 Max Thinking ($0.150 / $0.470 versus $0.780 / $3.90 per million tokens). Qwen3.8 Omni Flash accepts more context (1 M). On capabilities, Qwen3.8 Omni Flash accepts images; only Qwen3.8 Omni Flash accepts audio.
Which is cheaper: Qwen3.8 Omni Flash and Qwen3 Max Thinking?
Qwen3.8 Omni Flash is cheaper: $0.150 per million input tokens and $0.470 per million output tokens, versus $0.780 / $3.90 for Qwen3 Max Thinking.
Which has more context: Qwen3.8 Omni Flash and Qwen3 Max Thinking?
Qwen3.8 Omni Flash accepts 1 M tokens of context; Qwen3 Max Thinking accepts 262 K.
Which is newer: Qwen3.8 Omni Flash and Qwen3 Max Thinking?
Qwen3.8 Omni Flash was released on 09/17/2026; Qwen3 Max Thinking on 02/09/2026.
What would 10,000 requests a month cost with Qwen3.8 Omni Flash and Qwen3 Max Thinking?
With 1,500 input and 400 output tokens per request: Qwen3.8 Omni Flash: $4.13; Qwen3 Max Thinking: $27.30 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.