Gemini Omni 1.2 Flash vs Qwen3.8 Max Prime
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
Gemini Omni 1.2 Flash is Google's native multimodal video generation and editing model, the successor to Gemini Omni 1.1 Flash.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 131 K tokens
- Max output
- 66 K
- Input, $ per 1M tokens
- ▲$1.50
- Output, $ per 1M tokens
- ▲$9.00
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- No
- Released
- ▲11/05/2026
- Knowledge cutoff
- —
- API id
- google/gemini-omni-1.2-flash
Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- ▲131 K
- Input, $ per 1M tokens
- $4.00
- Output, $ per 1M tokens
- $12.00
- Cache read, $ per 1M
- $0.500
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 09/23/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.8-max-prime
Which is the better API choice: Gemini Omni 1.2 Flash vs Qwen3.8 Max Prime?
- Gemini Omni 1.2 Flash: cheapest input (63% less than Qwen3.8 Max Prime)
- Gemini Omni 1.2 Flash: cheapest output
- Qwen3.8 Max Prime: largest context (1 M)
- Gemini Omni 1.2 Flash: the newest (11/05/2026)
- Qwen3.8 Max Prime: most reasoning (estimated)
- Gemini Omni 1.2 Flash: the fastest (estimated)
Gemini Omni 1.2 Flash costs 63% less on input and 25% less on output than Qwen3.8 Max Prime ($1.50 / $9.00 versus $4.00 / $12.00 per million tokens). Qwen3.8 Max Prime accepts more context (1 M).
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Gemini Omni 1.2 Flash you save $49.50 a month versus Qwen3.8 Max Prime (46% 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
- 2Gemini Omni 1.2 Flash Google$0.114
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Qwen3.8 Max Prime Qwen$0.304
- 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: Gemini Omni 1.2 Flash vs Qwen3.8 Max Prime?
Gemini Omni 1.2 Flash costs 63% less on input and 25% less on output than Qwen3.8 Max Prime ($1.50 / $9.00 versus $4.00 / $12.00 per million tokens). Qwen3.8 Max Prime accepts more context (1 M).
Which is cheaper: Gemini Omni 1.2 Flash and Qwen3.8 Max Prime?
Gemini Omni 1.2 Flash is cheaper: $1.50 per million input tokens and $9.00 per million output tokens, versus $4.00 / $12.00 for Qwen3.8 Max Prime.
Which has more context: Gemini Omni 1.2 Flash and Qwen3.8 Max Prime?
Qwen3.8 Max Prime accepts 1 M tokens of context; Gemini Omni 1.2 Flash accepts 131 K.
Which is newer: Gemini Omni 1.2 Flash and Qwen3.8 Max Prime?
Gemini Omni 1.2 Flash was released on 11/05/2026; Qwen3.8 Max Prime on 09/23/2026.
What would 10,000 requests a month cost with Gemini Omni 1.2 Flash and Qwen3.8 Max Prime?
With 1,500 input and 400 output tokens per request: Gemini Omni 1.2 Flash: $58.50; Qwen3.8 Max Prime: $108.00 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.