Gemini 3.7 Flash vs Kimi K3
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 1 M tokens
- Max output
- 66 K
- Input, $ per 1M tokens
- ▲$0.750
- Output, $ per 1M tokens
- ▲$3.75
- Cache read, $ per 1M
- $0.075
- Batch (input / output)
- $0.375 / $1.88
- Tool calling
- Yes
- Released
- ▲08/13/2026
- Knowledge cutoff
- 2026-03
- API id
- google/gemini-3.7-flash
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- 1 M tokens
- Max output
- ▲944 K
- Input, $ per 1M tokens
- $3.00
- Output, $ per 1M tokens
- $15.00
- Cache read, $ per 1M
- $0.300
- Batch (input / output)
- $2.28 / $11.40
- Tool calling
- Yes
- Released
- 07/16/2026
- Knowledge cutoff
- —
- API id
- moonshotai/kimi-k3
Which is the better API choice: Gemini 3.7 Flash vs Kimi K3?
- Gemini 3.7 Flash: cheapest input (75% less than Kimi K3)
- Gemini 3.7 Flash: cheapest output
- Gemini 3.7 Flash: the newest (08/13/2026)
- Kimi K3: most reasoning (estimated)
- Gemini 3.7 Flash: the fastest (estimated)
Gemini 3.7 Flash costs 75% less on input and 75% less on output than Kimi K3 ($0.750 / $3.75 versus $3.00 / $15.00 per million tokens). All accept 1 M tokens of context. On capabilities, only Gemini 3.7 Flash accepts audio. Gemini 3.7 Flash and Kimi K3 offer 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 3.7 Flash you save $78.75 a month versus Kimi K3 (75% 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)
- 1Gemini 3.7 Flash Google$0.057
- 2Claude Sonnet 5.5 Anthropic$0.152
- 3Claude Sonnet 5 Anthropic$0.152
- 4Kimi K3 Moonshot$0.228
- 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
- Claude Sonnet 5.5 vs GPT-6.1 Sol
- Claude Sonnet 5.5 vs Gemini 3.8 Flash
- Claude Sonnet 5.5 vs DeepSeek V4.1 Flash
- Claude Sonnet 5.5 vs Grok 4.7
- 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: Gemini 3.7 Flash vs Kimi K3?
Gemini 3.7 Flash costs 75% less on input and 75% less on output than Kimi K3 ($0.750 / $3.75 versus $3.00 / $15.00 per million tokens). All accept 1 M tokens of context. On capabilities, only Gemini 3.7 Flash accepts audio. Gemini 3.7 Flash and Kimi K3 offer a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Gemini 3.7 Flash and Kimi K3?
Gemini 3.7 Flash is cheaper: $0.750 per million input tokens and $3.75 per million output tokens, versus $3.00 / $15.00 for Kimi K3.
Which has more context: Gemini 3.7 Flash and Kimi K3?
Gemini 3.7 Flash and Kimi K3 accept the same context: 1 M tokens.
Which is newer: Gemini 3.7 Flash and Kimi K3?
Gemini 3.7 Flash was released on 08/13/2026; Kimi K3 on 07/16/2026.
What would 10,000 requests a month cost with Gemini 3.7 Flash and Kimi K3?
With 1,500 input and 400 output tokens per request: Gemini 3.7 Flash: $26.25; Kimi K3: $105.00 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.