Bengali Language AI Models Benchmark Compare Multilingual LLM Performance
The top 5 Bengali language AI models are Gemini 3 Pro Preview (high), GPT-5 (high), GPT-5.2 (medium), GPT-5.1 (high), and GPT-5 (medium). They achieve the highest Bengali language reasoning scores in the Artificial Analysis Multilingual Index.
To compare performance across all supported languages, see the full Multilingual AI Model Benchmark page.
Last updated: January 29, 2026
🇧🇩 Top Bengali language models
Highlights
Multilingual Index: Bengali Language
Based on the Global-MMLU-Lite evaluation, assessing general reasoning performance in a single language. Results are computed exclusively within the selected language. See methodology for further details.
Multilingual Index: Bengali Language vs. Price
While higher intelligence models are typically more expensive, they do not all follow the same price-quality curve.
Based on the Global-MMLU-Lite evaluation, assessing general reasoning performance in a single language. Results are computed exclusively within the selected language. See methodology for further details.
Price per token, represented as USD per million Tokens. Price is a blend of Input & Output token prices (3:1 ratio).
Multilingual Index: Bengali Language vs. Output Speed
There is a trade-off between model quality and output speed, with higher intelligence models typically having lower output speed.
Based on the Global-MMLU-Lite evaluation, assessing general reasoning performance in a single language. Results are computed exclusively within the selected language. See methodology for further details.
Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).
Price per token, represented as USD per million Tokens. Price is a blend of Input & Output token prices (3:1 ratio).
Multilingual Index: Bengali Language vs. Context Window
Based on the Global-MMLU-Lite evaluation, assessing general reasoning performance in a single language. Results are computed exclusively within the selected language. See methodology for further details.
Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).
Price per token included in the request/message sent to the API, represented as USD per million Tokens.
Multilingual Global-MMLU-Lite: Bengali Language
Pricing: Input and Output Prices
Price per token included in the request/message sent to the API, represented as USD per million Tokens.
Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).
Output Speed
Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).
Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).
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Latency: Time To First Answer Token
Time to first answer token received, in seconds, after API request sent. For reasoning models, this includes the 'thinking' time of the model before providing an answer. For models which do not support streaming, this represents time to receive the completion.
End-to-End Response Time
Seconds to receive a 500 token response. Key components:
- Input time: Time to receive the first response token
- Thinking time (only for reasoning models): Time reasoning models spend outputting tokens to reason prior to providing an answer. Amount of tokens based on the average reasoning tokens across a diverse set of 60 prompts (methodology details).
- Answer time: Time to generate 500 output tokens, based on output speed
Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).