Qwen3 235B A22B Instruct 2507 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
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- ▲236 K
- Input, $ per 1M tokens
- ▲$0.088
- Output, $ per 1M tokens
- ▲$0.350
- Cache read, $ per 1M
- $0.018
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 07/21/2025
- Knowledge cutoff
- —
- API id
- qwen/qwen3-235b-a22b-2507
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 235B A22B Instruct 2507 vs Qwen3.8 Omni Flash?
- Qwen3 235B A22B Instruct 2507: cheapest input (42% less than Qwen3.8 Omni Flash)
- Qwen3 235B A22B Instruct 2507: 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 235B A22B Instruct 2507 costs 42% less on input and 26% less on output than Qwen3.8 Omni Flash ($0.088 / $0.350 versus $0.150 / $0.470 per million tokens). Qwen3.8 Omni Flash accepts more context (1 M). On capabilities, Qwen3.8 Omni Flash accepts images; 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 235B A22B Instruct 2507 you save $1.42 a month versus Qwen3.8 Omni Flash (34% less).
The 6 cheapest for this scenario (chat, last 12 months)
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- 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 235B A22B Instruct 2507 Qwen$0.007
- 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 235B A22B Instruct 2507 vs Qwen3.8 Omni Flash?
Qwen3 235B A22B Instruct 2507 costs 42% less on input and 26% less on output than Qwen3.8 Omni Flash ($0.088 / $0.350 versus $0.150 / $0.470 per million tokens). Qwen3.8 Omni Flash accepts more context (1 M). On capabilities, Qwen3.8 Omni Flash accepts images; Qwen3.8 Omni Flash has a reasoning mode; only Qwen3.8 Omni Flash accepts audio.
Which is cheaper: Qwen3 235B A22B Instruct 2507 and Qwen3.8 Omni Flash?
Qwen3 235B A22B Instruct 2507 is cheaper: $0.088 per million input tokens and $0.350 per million output tokens, versus $0.150 / $0.470 for Qwen3.8 Omni Flash.
Which has more context: Qwen3 235B A22B Instruct 2507 and Qwen3.8 Omni Flash?
Qwen3.8 Omni Flash accepts 1 M tokens of context; Qwen3 235B A22B Instruct 2507 accepts 262 K.
Which is newer: Qwen3 235B A22B Instruct 2507 and Qwen3.8 Omni Flash?
Qwen3.8 Omni Flash was released on 09/17/2026; Qwen3 235B A22B Instruct 2507 on 07/21/2025.
What would 10,000 requests a month cost with Qwen3 235B A22B Instruct 2507 and Qwen3.8 Omni Flash?
With 1,500 input and 400 output tokens per request: Qwen3 235B A22B Instruct 2507: $2.71; 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.