Bengali: Comparison of Leading AI Models (Multilingual Reasoning Comparison)
Bengali language comparison and analysis of AI models across key performance metrics, including Bengali reasoning capabilities, cost, output speed, latency, context window, and more. To compare other languages, see our full Multilingual Reasoning Comparison.
Model Comparison Summary
Intelligence:
GPT-4o (Aug '24) and
Gemini 1.5 Pro (Sep) are the highest quality models, followed by
Claude 3.5 Sonnet (Oct) &
DeepSeek V3 (Dec '24).Output Speed (tokens/s):
Llama 3.3 70B (124 t/s) and
GPT-4o (Aug '24) (124 t/s) are the fastest models, followed by
Nova Pro &
Gemini 1.5 Pro (Sep).Latency (seconds):
GPT-4o (Aug '24) (0.32s) and
GPT-4o mini (0.37s) are the lowest latency models, followed by
Nova Pro &
Mistral Large 2 (Nov '24).Price ($ per M tokens):
Qwen2.5 72B ($0.00) and
GPT-4o mini ($0.26) are the cheapest models, followed by
DeepSeek V3 (Dec '24) &
Llama 3.3 70B.Context Window:
Gemini 1.5 Pro (Sep) (2m) and
Nova Pro (300k) are the largest context window models, followed by
o1 &
Claude 3.5 Sonnet (Oct).






Highlights
Intelligence: Bengali
Multilingual Index (Bengali); Higher is better
Speed
Output Tokens per Second; Higher is better
Price
USD per 1M Tokens; Lower is better