Best error tracking tools (worth paying for?)

We asked 10 models: Which error tracking tools 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
84%
Same model, run twice
89%
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. Datadog
  3. Rollbar
  4. Bugsnag
  5. Raygun
  6. Honeybadger
  7. New Relic
  8. Airbrake
  9. Insight Hub
  10. TrackJS

95% with consensus · 96% self-consistent

GPT-6 Luna

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

82% with consensus · 87% self-consistent

Gemini 4 Argon

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

84% with consensus · 86% self-consistent

Qwen 3.8 Flash

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

94% with consensus · 94% self-consistent

DeepSeek V4 Pro

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

90% with consensus · 93% self-consistent

GLM-5.3

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

95% with consensus · 88% self-consistent

Kimi K3

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

95% with consensus · 91% self-consistent

MiniMax M3

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

81% with consensus · 77% self-consistent

Mistral Large 4

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

90% with consensus · 87% self-consistent

Nemotron 3 Ultra

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

90% with consensus · 95% self-consistent

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 72 (lightest) to 93 (darkest)

Claude Haiku 5.5GPT-6 LunaGemini 4 ArgonQwen 3.8 FlashDeepSeek V4 ProGLM-5.3Kimi K3MiniMax M3Mistral Large 4Nemotron 3 Ultra
Claude Haiku 5.5828392919390838986
GPT-6 Luna829082808780808481
Gemini 4 Argon839081808480858177
Qwen 3.8 Flash928281899392788885
DeepSeek V4 Pro918080899391798482
GLM-5.3938784939392818889
Kimi K3908080929192779186
MiniMax M3838085787981778172
Mistral Large 4898481888488918184
Nemotron 3 Ultra868177858289867284