Back to Text & reasoning
Model comparison
Gemini 3.8 Flash vs Kimi K3
Compare Gemini 3.8 Flash and Kimi K3 using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
Estimate your cost
Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
Advanced options
How this estimate works
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Estimated total (USD) |
|---|---|---|
| Gemini 3.8 FlashGoogle | $0.0064 | |
| Kimi K3Moonshot AI | Moonshot AI | No reviewed rate |
Quick take
Gemini 3.8 Flash
Google's stable, high-efficiency multimodal model for agents, software work, and large mixed-media inputs at an introductory Flash-tier price.
Best for
- High-volume multimodal agents
- Long video, audio, PDF, and code inputs
- Teams optimizing capability per token cost
Watch out for
Free and paid Gemini services have materially different data-use terms. Verify billing status and regional availability for the exact project.
Kimi K3
Moonshot AI's frontier multimodal model for million-token coding, reasoning, knowledge work, and tool-driven agents.
Best for
- Large codebase and document work
- Agents that repeatedly reuse a long context
- Multimodal reasoning through a direct or gateway API
Watch out for
Moonshot's public terms permit broad service-improvement uses of submitted content. Treat the provider route and enterprise agreement as a core requirement for confidential work.
Compare the published facts
Gemini 3.8 Flash vs Kimi K3
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Text & reasoning | Gemini 3.8 Flash | Kimi K3 |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | 1,048,576 tokens | 1M tokens |
| Maximum outputProvider-published response limit, where available. | 65,536 tokens | Not separately published for the direct API |
| Knowledge cutoffLatest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff. | March 2026; some domains may lag to January 2025 | Not published |
| Input priceCurrent standard list price per million input tokens unless noted. | $0.75 / 1M promo | $3 / 1M uncached; $0.30 cached |
| Output priceCurrent standard list price per million output tokens unless noted. | $3.75 / 1M promo | $15 / 1M |
| InputsMedia types accepted by the listed model endpoint. | Text, image, video, audio, PDF | Text, image |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | Functions, search, code execution, file search | Tools, agent workflows, reasoning levels, dynamic tool loading on supported routes |
How to choose
Compare the job, not the hype.
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
Gemini 3.8 Flash
Google says paid Gemini API prompts and responses are not used to improve its products. Unpaid-service content generally may be used, with different treatment for EEA, UK, and Swiss users; check the current terms for your account and region.
Provider and API links
Kimi K3
Moonshot's API privacy and model-use terms allow submitted content to be stored and used to provide, maintain, develop, and improve the service. Obtain appropriate enterprise terms before sending sensitive material.
Frequently asked questions
Gemini 3.8 Flash vs Kimi K3 FAQ
What is the main difference between Gemini 3.8 Flash and Kimi K3?
Gemini 3.8 Flash: Google's stable, high-efficiency multimodal model for agents, software work, and large mixed-media inputs at an introductory Flash-tier price. Kimi K3: Moonshot AI's frontier multimodal model for million-token coding, reasoning, knowledge work, and tool-driven agents.
Should I choose Gemini 3.8 Flash or Kimi K3?
Consider Gemini 3.8 Flash when your priority is High-volume multimodal agents. Consider Kimi K3 when your priority is Large codebase and document work. Test both with your own data and provider route before committing.
Is this Gemini 3.8 Flash vs Kimi K3 comparison based on Cody benchmarks?
No. This comparison aligns provider-published facts for the Text & reasoning category. It does not claim a universal winner or combine incompatible third-party benchmark scores.