Qwen3.8 2.4T A95B vs Qwen3.8 Omni Flash
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total.
- 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
- 08/12/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.8-2.4t-a95b
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
Which is the better API choice: Qwen3.8 2.4T A95B vs Qwen3.8 Omni Flash?
- Qwen3.8 Omni Flash: cheapest input (93% less than Qwen3.8 2.4T A95B)
- Qwen3.8 Omni Flash: cheapest output
- Qwen3.8 2.4T A95B: largest context (1 M)
- Qwen3.8 Omni Flash: the newest (09/17/2026)
- Qwen3.8 2.4T A95B: most reasoning (estimated)
- Qwen3.8 Omni Flash: the fastest (estimated)
Qwen3.8 Omni Flash costs 93% less on input and 92% less on output than Qwen3.8 2.4T A95B ($0.150 / $0.470 versus $2.00 / $6.00 per million tokens). Qwen3.8 2.4T A95B 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 $49.87 a month versus Qwen3.8 2.4T A95B (92% 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
- 2Qwen3.8 2.4T A95B 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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- DeepSeek V4.1 Flash vs Grok 4.7
Frequently asked questions
Which is the better API choice: Qwen3.8 2.4T A95B vs Qwen3.8 Omni Flash?
Qwen3.8 Omni Flash costs 93% less on input and 92% less on output than Qwen3.8 2.4T A95B ($0.150 / $0.470 versus $2.00 / $6.00 per million tokens). Qwen3.8 2.4T A95B 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 2.4T A95B and Qwen3.8 Omni Flash?
Qwen3.8 Omni Flash is cheaper: $0.150 per million input tokens and $0.470 per million output tokens, versus $2.00 / $6.00 for Qwen3.8 2.4T A95B.
Which has more context: Qwen3.8 2.4T A95B and Qwen3.8 Omni Flash?
Qwen3.8 2.4T A95B accepts 1 M tokens of context; Qwen3.8 Omni Flash accepts 1 M.
Which is newer: Qwen3.8 2.4T A95B and Qwen3.8 Omni Flash?
Qwen3.8 Omni Flash was released on 09/17/2026; Qwen3.8 2.4T A95B on 08/12/2026.
What would 10,000 requests a month cost with Qwen3.8 2.4T A95B and Qwen3.8 Omni Flash?
With 1,500 input and 400 output tokens per request: Qwen3.8 2.4T A95B: $54.00; Qwen3.8 Omni Flash: $4.13 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.