Best error tracking tools (search query)

We asked 10 models: best error tracking tool 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

83%

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.

#	Pick	Score	Listed by	Claude Haiku 5.5	GPT-6 Luna	Gemini 4 Argon	Qwen 3.8 Flash	DeepSeek V4 Pro	GLM-5.3	Kimi K3	MiniMax M3	Mistral Large 4	Nemotron 3 Ultra
1	Sentry		10/10	1	1	1	1	1	1	1	1	1	1
2	Rollbar		10/10	2	4	2	3	3	3	2	3	3	3
3	Datadog		10/10	3	3	4	2	2	2	3	7	2	2
4	Bugsnag		10/10	4	2	3	4	4	4	4	2	5	5
5	Raygun		10/10	5	8	5	6	5	5	8	4	6	8
6	New Relic		10/10	8	6	7	7	9	6	5	9	4	4
7	Airbrake		10/10	7	7	8	5	6	8	6	6	10	7
8	Honeybadger		9/10	6	5	6	8	7	7	10	5		6
9	LogRocket		7/10			9		8	9	7	10	9	9
10	Dynatrace		1/10									7
11	Crashlytics		3/10	9	10				10
12	Atlassian Jira		1/10								8
13	Splunk		1/10									8
14	AppSignal		2/10				9						10
15	GlitchTip		2/10			10				9

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

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. Datadog
4. Bugsnag
5. Raygun
6. Honeybadger
7. Airbrake
8. New Relic
9. Crashlytics
10. Insight Hub

95% with consensus · 86% self-consistent

GPT-6 Luna

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

82% with consensus · 88% self-consistent

Gemini 4 Argon

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

93% with consensus · 87% self-consistent

Qwen 3.8 Flash

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

88% with consensus · 89% self-consistent

DeepSeek V4 Pro

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

89% with consensus · 94% self-consistent

GLM-5.3

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

91% with consensus · 91% self-consistent

Kimi K3

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

93% with consensus · 84% self-consistent

MiniMax M3

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

78% with consensus · 86% self-consistent

Mistral Large 4

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

83% with consensus · 89% self-consistent

Nemotron 3 Ultra

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

85% with consensus · 90% self-consistent

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 68 (lightest) to 96 (darkest)

	Claude Haiku 5.5	GPT-6 Luna	Gemini 4 Argon	Qwen 3.8 Flash	DeepSeek V4 Pro	GLM-5.3	Kimi K3	MiniMax M3	Mistral Large 4	Nemotron 3 Ultra
Claude Haiku 5.5		83	93	87	89	89	89	80	79	84
GPT-6 Luna	83		82	81	80	83	81	84	75	82
Gemini 4 Argon	93	82		82	85	87	87	83	77	81
Qwen 3.8 Flash	87	81	82		94	93	85	77	87	90
DeepSeek V4 Pro	89	80	85	94		96	85	80	86	90
GLM-5.3	89	83	87	93	96		85	78	90	92
Kimi K3	89	81	87	85	85	85		73	82	85
MiniMax M3	80	84	83	77	80	78	73		68	73
Mistral Large 4	79	75	77	87	86	90	82	68		92
Nemotron 3 Ultra	84	82	81	90	90	92	85	73	92