GPT-5 Pro vs Kimi K3
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- 400 K tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- $15.00
- Output, $ per 1M tokens
- $120.00
- Cache read, $ per 1M
- —
- Batch (input / output)
- $7.50 / $60.00
- Tool calling
- Yes
- Released
- 10/06/2025
- Knowledge cutoff
- 2024-09-30
- API id
- openai/gpt-5-pro
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: GPT-5 Pro vs Kimi K3?
- Kimi K3: cheapest input (80% less than GPT-5 Pro)
- Kimi K3: cheapest output
- Kimi K3: largest context (1 M)
- Kimi K3: the newest (07/16/2026)
- GPT-5 Pro: most reasoning (estimated)
- Kimi K3: the fastest (estimated)
Kimi K3 costs 80% less on input and 88% less on output than GPT-5 Pro ($3.00 / $15.00 versus $15.00 / $120.00 per million tokens). Kimi K3 accepts more context (1 M). GPT-5 Pro 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 Kimi K3 you save $600.00 a month versus GPT-5 Pro (85% less).
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- 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)
- 1Claude Sonnet 5.5 Anthropic$0.152
- 2Claude Sonnet 5 Anthropic$0.152
- 3Kimi K3 Moonshot$0.228
- 4Claude Opus 5.5 Anthropic$0.304
- 5Claude Opus 5 Anthropic$0.380
- 6Claude Fable 5.1 Anthropic$0.760
- 7Claude Fable 5 Anthropic$0.760
- 8GPT-5 Pro OpenAI$1.14
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Frequently asked questions
Which is the better API choice: GPT-5 Pro vs Kimi K3?
Kimi K3 costs 80% less on input and 88% less on output than GPT-5 Pro ($3.00 / $15.00 versus $15.00 / $120.00 per million tokens). Kimi K3 accepts more context (1 M). GPT-5 Pro and Kimi K3 offer a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-5 Pro and Kimi K3?
Kimi K3 is cheaper: $3.00 per million input tokens and $15.00 per million output tokens, versus $15.00 / $120.00 for GPT-5 Pro.
Which has more context: GPT-5 Pro and Kimi K3?
Kimi K3 accepts 1 M tokens of context; GPT-5 Pro accepts 400 K.
Which is newer: GPT-5 Pro and Kimi K3?
Kimi K3 was released on 07/16/2026; GPT-5 Pro on 10/06/2025.
What would 10,000 requests a month cost with GPT-5 Pro and Kimi K3?
With 1,500 input and 400 output tokens per request: GPT-5 Pro: $705.00; 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.