Gemini Omni 1.1 Flash vs Kimi K3.1 Pro
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
Gemini Omni 1.1 Flash is Google's native multimodal video generation and editing model, the generally available successor to Gemini Omni Flash Preview.
- 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
- ▲11/04/2026
- Knowledge cutoff
- —
- API id
- google/gemini-omni-1.1-flash
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- ▲944 K
- Input, $ per 1M tokens
- $2.00
- Output, $ per 1M tokens
- $10.00
- Cache read, $ per 1M
- $0.200
- Batch (input / output)
- $0.700 / $6.00
- Tool calling
- Yes
- Released
- 10/23/2026
- Knowledge cutoff
- —
- API id
- moonshotai/kimi-k3.1-pro
Which is the better API choice: Gemini Omni 1.1 Flash vs Kimi K3.1 Pro?
- Gemini Omni 1.1 Flash: cheapest input (25% less than Kimi K3.1 Pro)
- Gemini Omni 1.1 Flash: cheapest output
- Kimi K3.1 Pro: largest context (1 M)
- Gemini Omni 1.1 Flash: the newest (11/04/2026)
- Kimi K3.1 Pro: most reasoning (estimated)
- Gemini Omni 1.1 Flash: the fastest (estimated)
Gemini Omni 1.1 Flash costs 25% less on input and 10% less on output than Kimi K3.1 Pro ($1.50 / $9.00 versus $2.00 / $10.00 per million tokens). Kimi K3.1 Pro accepts more context (1 M). Kimi K3.1 Pro offers a batch tier at half price for jobs that do not need an immediate answer.
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 1.1 Flash you save $11.50 a month versus Kimi K3.1 Pro (16% 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 1.1 Flash Google$0.114
- 3Kimi K3.1 Pro Moonshot$0.152
- 4Claude Sonnet 5.5 Anthropic$0.152
- 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 1.1 Flash vs Kimi K3.1 Pro?
Gemini Omni 1.1 Flash costs 25% less on input and 10% less on output than Kimi K3.1 Pro ($1.50 / $9.00 versus $2.00 / $10.00 per million tokens). Kimi K3.1 Pro accepts more context (1 M). Kimi K3.1 Pro offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Gemini Omni 1.1 Flash and Kimi K3.1 Pro?
Gemini Omni 1.1 Flash is cheaper: $1.50 per million input tokens and $9.00 per million output tokens, versus $2.00 / $10.00 for Kimi K3.1 Pro.
Which has more context: Gemini Omni 1.1 Flash and Kimi K3.1 Pro?
Kimi K3.1 Pro accepts 1 M tokens of context; Gemini Omni 1.1 Flash accepts 131 K.
Which is newer: Gemini Omni 1.1 Flash and Kimi K3.1 Pro?
Gemini Omni 1.1 Flash was released on 11/04/2026; Kimi K3.1 Pro on 10/23/2026.
What would 10,000 requests a month cost with Gemini Omni 1.1 Flash and Kimi K3.1 Pro?
With 1,500 input and 400 output tokens per request: Gemini Omni 1.1 Flash: $58.50; Kimi K3.1 Pro: $70.00 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.