Best error tracking tools

We asked 10 models: The best error tracking tools for web applications. 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
80%
Same model, run twice
88%
Different picks
19

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

4 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. Sentry
  2. Rollbar
  3. Bugsnag
  4. Raygun
  5. Honeybadger
  6. Datadog
  7. New Relic
  8. Airbrake
  9. TrackJS
  10. Crashlytics

90% with consensus · 92% self-consistent

GPT-6 Luna

  1. Sentry
  2. Datadog
  3. Bugsnag
  4. Rollbar
  5. New Relic
  6. Honeybadger
  7. Raygun
  8. Airbrake
  9. Elastic APM
  10. LogRocket

82% with consensus · 87% self-consistent

Gemini 4 Argon

  1. Sentry
  2. Rollbar
  3. Bugsnag
  4. Datadog
  5. New Relic
  6. Raygun
  7. Honeybadger
  8. LogRocket
  9. Airbrake
  10. GlitchTip

95% with consensus · 85% self-consistent

Qwen 3.8 Flash

  1. Sentry
  2. Rollbar
  3. Bugsnag
  4. Datadog
  5. New Relic
  6. Raygun
  7. Datadog RUM
  8. LogRocket
  9. Airbrake
  10. AppSignal

94% with consensus · 73% self-consistent

DeepSeek V4 Pro

  1. Sentry
  2. Datadog
  3. Rollbar
  4. Bugsnag
  5. LogRocket
  6. Raygun
  7. Airbrake
  8. TrackJS
  9. Honeybadger
  10. New Relic

83% with consensus · 96% self-consistent

GLM-5.3

  1. Sentry
  2. Rollbar
  3. Datadog
  4. Bugsnag
  5. Raygun
  6. Honeybadger
  7. New Relic
  8. LogRocket
  9. Airbrake
  10. GlitchTip

92% with consensus · 87% self-consistent

Kimi K3

  1. Sentry
  2. Rollbar
  3. Bugsnag
  4. New Relic
  5. Datadog
  6. LogRocket
  7. Airbrake
  8. Raygun
  9. GlitchTip
  10. Datadog RUM

91% with consensus · 85% self-consistent

MiniMax M3

  1. Sentry
  2. Bugsnag
  3. Rollbar
  4. Raygun
  5. Airbrake
  6. LogRocket
  7. Honeybadger
  8. TrackJS
  9. BugSplat
  10. Instabug

78% with consensus · 92% self-consistent

Mistral Large 4

  1. Sentry
  2. Datadog
  3. Rollbar
  4. Bugsnag
  5. Raygun
  6. New Relic
  7. LogRocket
  8. Grafana Faro
  9. Airbrake
  10. Highlight

86% with consensus · 95% self-consistent

Nemotron 3 Ultra

  1. Sentry
  2. Datadog
  3. New Relic
  4. Rollbar
  5. Bugsnag
  6. Honeybadger
  7. LogRocket
  8. Airbrake
  9. Raygun
  10. TrackJS

76% with consensus · 97% self-consistent

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 64 (lightest) to 96 (darkest)

Claude Haiku 5.5GPT-6 LunaGemini 4 ArgonQwen 3.8 FlashDeepSeek V4 ProGLM-5.3Kimi K3MiniMax M3Mistral Large 4Nemotron 3 Ultra
Claude Haiku 5.5798985758884817670
GPT-6 Luna798582858379698790
Gemini 4 Argon898596809291768378
Qwen 3.8 Flash858296798891728374
DeepSeek V4 Pro758580798478779183
GLM-5.3888392888483748880
Kimi K3847991917883757977
MiniMax M3816976727774757164
Mistral Large 4768783839188797185
Nemotron 3 Ultra709078748380776485