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$HBAR

Stable

Snapshot Window: 2026-08-13 20:30 UTC ยท โ† Back to Crypto Overview

Tracked Posts
1
Total Impressions
200
Total Likes
2
Retweets & Quotes
0
Comments
0

Social Momentum Summary

Total Engagement - Comments: 0, Retweets: 0, Likes: 2, Impressions: 200

Verbatim Community Citations & Social Evidence 1 source posts analyzed

@ErenAILab

This whole conversation feels like a total joke, honestly. You can use the Deepseek v4 flash 0731 model; at an average of 169 tps for $0.28 input / $0.56 output. And in terms of performance level, the benchmarks are right there in front of you. Despite this huge price

A comparative chart showing three metrics across AI models: Artificial Analysis Intelligence Index (with Deepseek V3 Flash scoring 60), Output tokens per second speed (highlighting Gemini 2.5 Flash Lite at 227 tps and Deepseek V3 at 115 tps), and Cost per Task in USD per Intelligence Index task (ranging from Deepseek V3's $0.03 to Claude Opus 4.1's $3.14). The image visually supports the post's argument that Deepseek V3 offers strong value, showing it ranks competitively in intelligence and among the most cost-efficient models, reinforcing claims about its favorable price-performance ratio at $0.28/$0.56 per million tokens.

AI visual note: A comparative chart showing three metrics across AI models: Artificial Analysis Intelligence Index (with Deepseek V3 Flash scoring 60), Output tokens per second speed (highlighting Gemini 2.5 Flash Lite at 227 tps and Deepseek V3 at 115 tps), and Cost per Task in USD per Intelligence Index task (ranging from Deepseek V3's $0.03 to Claude Opus 4.1's $3.14). The image visually supports the post's argument that Deepseek V3 offers strong value, showing it ranks competitively in intelligence and among the most cost-efficient models, reinforcing claims about its favorable price-performance ratio at $0.28/$0.56 per million tokens.

Contributing Voices for $HBAR

@reddit