Best realtime tools for web apps (worth paying for?)

We asked 10 models: Which realtime messaging services are actually worth paying for? Each named its own top 10.

Asked 4 ways: List request · Buyer asking for advice · Search query · Worth paying for?. Share of voice pools every wording.

Agreement between models
45%
Same model, run twice
74%
Different picks
30

When agreement between models is well below a model's agreement with itself, the split reflects real differences in taste rather than randomness.

The consensus

Each cell is the position that model gave the pick; blank means it left the pick off. Click a row for each model's reasoning.

#PickScoreListed byClaude Haiku 5.5GPT-6 LunaGemini 4 ArgonQwen 3.8 FlashDeepSeek V4 ProGLM-5.3Kimi K3MiniMax M3Mistral Large 4Nemotron 3 Ultra

15 lower-scoring picks are not shown; every ballot below lists them in full.

Most divisive

Picks most models listed, at very different positions

Hot takes

Picks that appear on only one ballot

Every ballot

Hover a pick to find it on the other ballots. Marked picks appear on no other ballot.

Claude Haiku 5.5

  1. Pusher
  2. Ably
  3. Slack
  4. PubNub
  5. Microsoft Teams
  6. Stream Chat
  7. Sendbird
  8. Twilio
  9. Firebase
  10. Google Chat

42% with consensus · 59% self-consistent

GPT-6 Luna

  1. Slack
  2. Microsoft Teams
  3. Discord
  4. Telegram
  5. WhatsApp
  6. Google Chat
  7. Zoom
  8. Mattermost
  9. Rocket.Chat
  10. Signal

77% with consensus · 91% self-consistent

Gemini 4 Argon

  1. Ably
  2. Pusher
  3. Stream Chat
  4. PubNub
  5. Sendbird
  6. Supabase
  7. Confluent Cloud
  8. Firebase
  9. Twilio
  10. AWS AppSync

20% with consensus · 93% self-consistent

Qwen 3.8 Flash

  1. Ably
  2. Pusher
  3. Stream Chat
  4. PubNub
  5. Twilio
  6. Socket.IO
  7. Sendbird
  8. Salesforce
  9. Sobio
  10. Centrifugo

24% with consensus · 58% self-consistent

DeepSeek V4 Pro

  1. Slack
  2. Discord
  3. Microsoft Teams
  4. Telegram
  5. WhatsApp
  6. Zoom
  7. Mattermost
  8. Signal
  9. Twist
  10. Rocket.Chat

70% with consensus · 83% self-consistent

GLM-5.3

  1. Slack
  2. Microsoft Teams
  3. Discord
  4. Google Chat
  5. Zoom
  6. Confluent Cloud
  7. Google Cloud Pub/Sub
  8. Ably
  9. Mattermost
  10. Rocket.Chat

78% with consensus · 32% self-consistent

Kimi K3

  1. Slack
  2. Microsoft Teams
  3. Discord
  4. Zoom
  5. Mattermost
  6. Rocket.Chat
  7. Google Chat
  8. Twilio
  9. Ably
  10. PubNub

81% with consensus · 78% self-consistent

MiniMax M3

  1. Slack
  2. Microsoft Teams
  3. Discord
  4. Twilio
  5. Pusher
  6. Sendbird
  7. Zendesk
  8. Zoom
  9. Ably
  10. Intercom

86% with consensus · 78% self-consistent

Mistral Large 4

  1. Slack
  2. Microsoft Teams
  3. Discord
  4. Twilio
  5. Intercom
  6. Telegram
  7. WhatsApp
  8. Front
  9. Zendesk
  10. Mattermost

76% with consensus · 87% self-consistent

Nemotron 3 Ultra

  1. Slack
  2. Microsoft Teams
  3. Discord
  4. Mattermost
  5. Rocket.Chat
  6. Twilio
  7. Flock
  8. Sendbird
  9. Pusher
  10. Stream Chat

80% with consensus · 87% self-consistent

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 0 (lightest) to 87 (darkest)

Claude Haiku 5.5GPT-6 LunaGemini 4 ArgonQwen 3.8 FlashDeepSeek V4 ProGLM-5.3Kimi K3MiniMax M3Mistral Large 4Nemotron 3 Ultra
Claude Haiku 5.5216262212426352327
GPT-6 Luna2100878181738074
Gemini 4 Argon620850631416
Qwen 3.8 Flash620850241979
DeepSeek V4 Pro2187007173667368
GLM-5.32481627184747173
Kimi K32681347384777485
MiniMax M3357314196674778379
Mistral Large 42380177371748376
Nemotron 3 Ultra2774696873857976