Best forMoonshot's Kimi K3.1 Pro for repository-scale coding, financial research, and visual-to-code work at the lower catalog rate.
Per 1M tokens · catalog rate
Input$2.00$2.00/M−0%
Output$10.00$10.00/M−0%
// Cross-vendor model comparisonView model page
Kimi K3.1 ProvsGPT-6 Astra
Kimi K3.1 Pro vs GPT-6 Astra comes down to the work you need completed and the cost of completing it. Start with Kimi for repository-scale coding, financial research, and visual-to-code work at a lower GPTProto token rate. Start with Astra when the application centers on OpenAI's demanding reasoning, computer-use, and professional-work capabilities. Both accept text and images and return text. Compare the same tasks through one GPTProto account. This page uses kimi-k3.1-pro, not Kimi K3 and not the high-speed SKU.
The short answer: start the cost check with Kimi K3.1 Pro. On the live GPTProto rates its input is 75% lower and its output is 75% lower. That gap is the reason to let Kimi take the first pass on work you can check. Move a run to Astra when the task needs an OpenAI tool, or when Kimi fails a check Astra passes. Budget the full agent run, including retries.
View model page
Best forOpenAI's GPT-6 Astra for demanding reasoning, computer use, and professional work that can carry a higher token budget.
Per 1M tokens · catalog rate
Input$10.00$8.00/M−20%
Output$50.00$40.00/M−20%
// Side by side
Kimi K3.1 Pro vs GPT-6 AstraAt a Glance.
GPTProto prices are the live text-to-text catalog rates. Latency, context, and benchmarks appear only when the OpenRouter harvest returned them for both models.
Spec
Kimi K3.1 Pro
GPT-6 Astra
Provider
MoonshotAI
OpenAI
Model ID
kimi-k3.1-pro
gpt-6-astra
OpenRouter model
moonshotai/kimi-k3.1-pro
openai/gpt-6-astra
Availability
100%
Last 7 days100%
Last 7 daysRelease date
October 23, 2026
September 4, 2026
Input
$2.00$2.00 official list
$8.00$10.00 official list
Output
$10.00$10.00 official list
$40.00$50.00 official list
You save
−0%vs the catalog list rate
−20%vs the catalog list rate
Cache read
$0.20$0.20 official list
$0.80$1.00 official list
Cache write
$2.00$2.00 official list
$10.00$12.50 official list
Context window
1,048,576 tokens
1.05M tokens
Max output tokens
943,718 tokens
128K tokens
Accepts
TextImageVideo
FileImageText
Returns
Text
Text
Where it earns its keep
Cost-sensitive agent runs you can accept or reject with a test
Workflows built around OpenAI's research and computer-use tools
Best first test
A first evaluation of a coding or research task
A task whose required tool exists on the OpenAI route
In the catalog since
Oct 2026
Sep 2026
API usage
curl https://gptproto.com/v1/chat/completions \
-H "Authorization: Bearer $GPTPROTO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kimi-k3.1-pro",
"messages": [{"role": "user", "content": "Hi"}]
}'curl https://gptproto.com/v1/chat/completions \
-H "Authorization: Bearer $GPTPROTO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-6-astra",
"messages": [{"role": "user", "content": "Hi"}]
}'Prices per 1M tokens from the GPTProto catalog. OpenRouter figures fetched November 3, 2026. Not a GPTProto SLA.
// Price comparison
Kimi is loweron both rates.
On the live GPTProto text rates, Kimi K3.1 Pro is $2.00 per million input tokens and $10.00 per million output tokens. GPT-6 Astra is $8.00 and $40.00. The provider list rates stored beside them are $2.00/$10.00 for Kimi K3.1 Pro and $10.00/$50.00 for GPT-6 Astra. Kimi K3.1 Pro is 75% lower on input and 75% lower on output. The GPTProto catalog and the publisher's direct API are separate prices. Use the model page for the rate attached to a GPTProto request.
For a batch of 1 million uncached input tokens and 200,000 billed output tokens, those catalog rates come to $4.00 for Kimi K3.1 Pro and $16.00 for GPT-6 Astra. The input portion is $2.00 versus $8.00. The output portion is $2.00 versus $8.00. Cache operations and separately billed tools are extra. A coding agent can reread the same files and produce several patches. Record input, reasoning, answer tokens, tool charges, and retries for the accepted result.
Check the live Kimi K3.1 Pro and GPT-6 Astra pages before you budget a production route. This comparison reads the same catalog those pages use. It does not copy a price from OpenRouter.
// Savings calculator
Run your own numbers.Not ours.
Multiply the input and output tokens you expect by the live GPTProto rates. Then run a real set. A useful budget includes cache, tools, retries, and the share of requests each model finishes correctly.
Pricing model
M tokens
M tokens
You keep, per year
$0
Monthly run rateOfficialGPTProtoSave
Input$400$400$0
Output$500$500$0
Per year$10,800$10,800$0
Input and output tokens only, at the catalog rate loaded for this page. Cache, tools, and retries are extra.
// Speed and access
How fast. How it is called.What the snapshot shows.
Latency and throughput are OpenRouter provider medians. A missing row was not in the fetch, and it is left out rather than guessed.
Spec
Kimi K3.1 Pro
GPT-6 Astra
Supported parameters
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningreasoning_effortresponse_format
include_reasoningmax_completion_tokensmax_tokensreasoningreasoning_effortresponse_formatseedstructured_outputs
Tool use
Listed
Listed
Median of OpenRouter provider p50s, fetched November 3, 2026. Not a GPTProto SLA.
// Top-upOne balance.
One balance.
Both models.
Test Kimi K3.1 Pro and GPT-6 Astra from the same GPTProto balance, at the rates on their model pages.
$15
Straight credit · no bonus
Get started. Great for testing the endpoint and trying new models.
Most Popular
$100
+4% bonus credits
The sweet spot for individual developers and small projects shipping to production.
Max Savings · +6%
$1,000
+6% bonus credits
Built for teams running production workloads. Bonus credits stack on already-discounted model pricing.
Running 100M tokens/month on GPT-6 Astra? At GPTProto pricing, that’s roughly $2,400 saved per year vs official pricing — before bonus credits.
// Quality and benchmarks
What the index shows.What it cannot decide.
Only scores present for both models are shown. A higher index is a shortlist signal. It does not decide your tasks.
Spec
Kimi K3.1 Pro
GPT-6 Astra
Intelligence Index
46Kimi K3.1 Pro
56.9GPT-6 Astra (Max)
Artificial Analysis scores as carried by the OpenRouter harvest, fetched November 3, 2026.
// Verdict
Which model fitsthe job?
Use the model whose failure mode you can already describe.
Kimi K3.1 Prokimi-k3.1-pro
Choose Kimi K3.1 Pro for the first evaluation
- Use Kimi for cost-sensitive coding agents, source-grounded financial work, visual implementation, and large technical drafts. The listed input rate is 75% below GPT-6 Astra, and the output rate is lower by 75%.
- K3.1 Pro is a later training pass on Kimi K3, focused on coding, agentic work, finance, and 3D creation. Call kimi-k3.1-pro.
- Count every attempt in the agent run. The per-token gap is only the start of the bill.
GPT-6 Astragpt-6-astra
Choose GPT-6 Astra for the OpenAI tool path
- Use Astra when the application is built around OpenAI's research or computer-use tools, or when the task justifies the higher token budget.
- Astra's direct API has a higher rate above 272,000 input tokens. Budget a GPTProto call from the catalog rate on this page.
- Escalate to Astra from a failed Kimi check you can name. Pass the requirement, the diff, and the evidence, not the entire unfiltered conversation.
Route by the workload label
A small code edit, a financial workbook, and a computer-controlled workflow can have different defaults. Keep the acceptance criteria visible and compare the cost of meeting them. Define an escalation around a failed check, an unresolved dependency, or a required tool.
// Context and output
Plan the outputinside the window.
Kimi K3.1 Pro lists 1,048,576 tokens of context. Moonshot describes that window as shared by input and output, with a default output budget you can raise inside the shared limit. GPT-6 Astra lists 1.05M tokens of context and 128K tokens of output. OpenAI documents a maximum input below Astra's context window. Astra's direct API applies higher rates above 272,000 input tokens. This page shows the GPTProto catalog rate, not that second direct-API tier, and it shows Kimi's output limit when the harvest returns one.
Kimi uses low, high, or max reasoning effort, with max as its default, and reasoning stays enabled. Astra supports low, medium, high, xhigh, and max. Record the chosen setting with each run. For Kimi multi-turn chats, preserve the complete returned assistant message, including reasoning content. For Astra's provider-native tools, follow OpenAI's supported tool interface.
// How to decide
Match the tool,then the bill.
Kimi's release focuses on long-horizon coding, including multi-file engineering and visual implementation. Use it as a first candidate for codebase migrations, interface changes, frontend work from screenshots, and scripts that build or modify CAD assets. Give the agent the repository conventions and a test command. Astra's published scope includes complex coding and reasoning. Include it when the task needs a sustained investigation or a technical deliverable alongside the implementation. Compare the final diff, the regression tests, and the review time.
Astra's official API documents computer use and a broader set of OpenAI-hosted tools. Kimi's developer documentation covers tool calling and multi-turn reasoning. A computer-use workflow also needs a screen or browser environment, permissions, and a check of the resulting state. Keep file access, shell execution, and approval rules in the application.
Moonshot highlights financial modeling among Kimi K3.1 Pro's release improvements. Give both models the same filings, calculation rules, and cutoff date. Keep retrieval quality separate from generation quality. Both accept images. Use a rendering or execution step so the comparison measures a working script, not only a plausible one. You can also assign stages: a Kimi agent prepares a patch, then a review step evaluates the diff under the same acceptance criteria.
// Get started
Try both on one balancebefore you pick a default.
Each model page has the current rate, an API example, and a Playground. Run your own prompts, then keep the routing rule that wins on quality, latency, and budget. Browse the model catalog if you want a third candidate in the same test. Compare current GPTProto pricing.
// FAQ
Kimi K3.1 Pro vs GPT-6 Astra.Straight answers.
01Which is cheaper: Kimi K3.1 Pro or GPT-6 Astra?
On the live GPTProto rates, Kimi K3.1 Pro is $2.00 input and $10.00 output per million tokens, against $8.00 and $40.00 for GPT-6 Astra. That is 75% less on input and 75% less on output. Astra's provider list rate is $10.00/$50.00. Account for the tokens and tools used across the full task.
02Is Kimi K3.1 Pro the same model as Kimi K3?
No. K3.1 Pro is a post-trained version of Kimi K3 with additional training focused on coding, agentic work, finance, and 3D creation. Use the exact kimi-k3.1-pro identifier for this comparison. The high-speed SKU is a different catalog row.
03Can I use both models with images?
Yes. Both documented models accept text and image inputs and produce text. On GPTProto, use the image request format shown for the selected route. For CAD or frontend work, execute and inspect the generated code.
04Can I download Kimi K3.1 Pro weights today?
As of October 27, 2026, API access is live and Moonshot schedules the full weights for release by November 4. GPTProto provides hosted API access.
05How do reasoning settings differ?
Kimi uses low, high, or max reasoning effort, with max as its default and reasoning always enabled. Astra supports low, medium, high, xhigh, and max. Record the chosen setting in each comparison run.
06How should I compare Kimi K3.1 Pro vs GPT-6 Astra for an agent?
Run the same tasks with the same tools, permissions, source files, and acceptance checks. Compare successful completion, invalid tool calls, review work, elapsed time, and total cost across every attempt.
07Are these OpenRouter prices?
No. The dollar amounts are GPTProto's catalog rates for the text-to-text scene, including the provider list rate the catalog stores beside them. OpenRouter is the source for latency, throughput, context, output limit, and the Artificial Analysis scores, each marked with its fetch time.
// Social proof
See how others use GPTProto.
Creators and developers share the models and workflows they built with.
BL#Routing
Blogstra
Reddit · r/Bloggers
For a team already juggling DeepSeek, Kimi, Qwen, or other providers, a shared routing layer can be reasonable if it removes duplicated work and the fallback behavior is tested. GPTProto is one implementation of this approach.
K
#Cost
K
X (Twitter) · @ChillaiKalan__
I've been testing GPTProto recently, and it's honestly made my creative workflow much simpler. Instead of paying for multiple subscriptions, I can access several leading AI models from one place.
SN
#Video
Sanskriti Naruka
X (Twitter) · @snskritinaruka
I turned this single prompt into a cinematic fantasy video using GPTProto. "Continuous 15-second cinematic shot, 4K resolution, hyper-realistic dark fantasy photorealism…"
CF
#Video
Caden Flux
X (Twitter) · @Caden_Flux
I challenged myself to create a cinematic AI cooking short in just 15 seconds. I used GPTProto to bring the entire workflow together, from image generation to video, all in one place.
Z
#Creative
Zara
X (Twitter) · @ZaraIrahh
Made with Seedance 2.0 + GPT Image 2 on GPTProto. A Pixar-style commercial with the perfect glow.
MO#Integration
Many-Operation2625
Reddit · r/LLMDevs
What worked for me was pointing the cloud connections at GPTProto so the frontend only sees one endpoint and I just change the model name to swap. I am not rebuilding a connection from scratch every time.
OB#Resilience
obxsurfer06
Reddit · r/singularity
I route the calls through GPTProto so a fallback is a config switch instead of a weekend rewrite when a model disappears. It turns "my default model just got export controlled" from an incident into a config change.
AL
#Models
Alice The Ai Expert
X (Twitter) · @AliceInfoAi
I used to switch between different AI tools just to compare results. Now I just use GPTProto. GPT-5, Claude, Gemini, Kimi, and more — all in one workspace.
EB#DevOps
EntireBig7258
Reddit · r/LLMDevs
I route the calls through GPTProto so the model id and latency land in one place regardless of which provider is behind it. The win is having the log schema consistent across providers.
AL
#Video
Alamin
X (Twitter) · @iam_chonchol
I created this 15-second cinematic product video with GPTProto using Seedance 2.0, and I was really impressed by how smooth the workflow was.
F
#Workflow
Fokki
X (Twitter) · @0x_fokki
GPTProto routes the character prompt and shot list to a top model on one API key: 20 minutes … voices it and burns in captions from the same key: 20 minutes.
FA#Apps
FormalAd4696
Reddit · r/SillyTavernAI
Text, images, and voice are configured separately. You can keep OpenRouter for text and use GPTProto for visuals.
AF#Teams
Any-Farm-1033
Reddit · r/EngineeringManagers
The call layer underneath the router is GPTProto, so swapping a model does not require provisioning a new provider integration. Changing models becomes cheap enough that the question stops being "should we change."
// From the blog
View all posts →AI Model Guides.Practical API Tutorials.
Compare models, learn API setup, and explore image and video workflows for real projects.
// Get started
Your next 100,000,000 tokensshouldn't cost full price.
Create images and videos online, or bring text, image, and video models into your app with one API key. Explore discounted rates on selected models.
- ✓OpenAI-compatible
- ✓200+ models
- ✓10–30% lower than official
- ✓High uptime, auto-failover
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