GPT-3.5 Turbo (older v0613) 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
GPT-3.5 Turbo is OpenAI's fastest model.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 4 K tokens
- Max output
- 4 K
- Input, $ per 1M tokens
- ▲$1.00
- Output, $ per 1M tokens
- ▲$2.00
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 01/25/2024
- Knowledge cutoff
- —
- API id
- openai/gpt-3.5-turbo-0613
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: GPT-3.5 Turbo (older v0613) vs Kimi K3.1 Pro?
- GPT-3.5 Turbo (older v0613): cheapest input (50% less than Kimi K3.1 Pro)
- GPT-3.5 Turbo (older v0613): cheapest output
- Kimi K3.1 Pro: largest context (1 M)
- Kimi K3.1 Pro: the newest (10/23/2026)
- Kimi K3.1 Pro: most reasoning (estimated)
- GPT-3.5 Turbo (older v0613): the fastest (estimated)
GPT-3.5 Turbo (older v0613) costs 50% less on input and 80% less on output than Kimi K3.1 Pro ($1.00 / $2.00 versus $2.00 / $10.00 per million tokens). Kimi K3.1 Pro accepts more context (1 M). On capabilities, Kimi K3.1 Pro accepts images; Kimi K3.1 Pro has a reasoning mode. 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 GPT-3.5 Turbo (older v0613) you save $47.00 a month versus Kimi K3.1 Pro (67% less).
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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
- 2GPT-3.5 Turbo (older v0613) OpenAI$0.076
- 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: GPT-3.5 Turbo (older v0613) vs Kimi K3.1 Pro?
GPT-3.5 Turbo (older v0613) costs 50% less on input and 80% less on output than Kimi K3.1 Pro ($1.00 / $2.00 versus $2.00 / $10.00 per million tokens). Kimi K3.1 Pro accepts more context (1 M). On capabilities, Kimi K3.1 Pro accepts images; Kimi K3.1 Pro has a reasoning mode. Kimi K3.1 Pro offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-3.5 Turbo (older v0613) and Kimi K3.1 Pro?
GPT-3.5 Turbo (older v0613) is cheaper: $1.00 per million input tokens and $2.00 per million output tokens, versus $2.00 / $10.00 for Kimi K3.1 Pro.
Which has more context: GPT-3.5 Turbo (older v0613) and Kimi K3.1 Pro?
Kimi K3.1 Pro accepts 1 M tokens of context; GPT-3.5 Turbo (older v0613) accepts 4 K.
Which is newer: GPT-3.5 Turbo (older v0613) and Kimi K3.1 Pro?
Kimi K3.1 Pro was released on 10/23/2026; GPT-3.5 Turbo (older v0613) on 01/25/2024.
What would 10,000 requests a month cost with GPT-3.5 Turbo (older v0613) and Kimi K3.1 Pro?
With 1,500 input and 400 output tokens per request: GPT-3.5 Turbo (older v0613): $23.00; 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.