Best observability tools

We asked 10 models: The best application monitoring and observability tools. 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
92%
Different picks
16

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

1 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. Datadog
  2. Dynatrace
  3. New Relic
  4. Splunk Observability Cloud
  5. Grafana
  6. Elastic Stack
  7. AppDynamics
  8. Sentry
  9. Honeycomb
  10. Prometheus

96% with consensus · 99% self-consistent

GPT-6 Luna

  1. Datadog
  2. Dynatrace
  3. New Relic
  4. Splunk Observability Cloud
  5. Grafana
  6. Elastic Stack
  7. AppDynamics
  8. Honeycomb
  9. Sentry
  10. Amazon CloudWatch

95% with consensus · 99% self-consistent

Gemini 4 Argon

  1. Datadog
  2. Dynatrace
  3. New Relic
  4. Grafana
  5. Sentry
  6. Prometheus
  7. Honeycomb
  8. AppDynamics
  9. Elastic Stack
  10. IBM Instana

88% with consensus · 95% self-consistent

Qwen 3.8 Flash

  1. Datadog
  2. Dynatrace
  3. New Relic
  4. Grafana
  5. Splunk Observability Cloud
  6. Prometheus
  7. AppDynamics
  8. Elastic Stack
  9. Splunk Enterprise
  10. Amazon CloudWatch

95% with consensus · 90% self-consistent

DeepSeek V4 Pro

  1. Datadog
  2. Grafana
  3. New Relic
  4. Dynatrace
  5. Honeycomb
  6. Splunk Observability Cloud
  7. Elastic Stack
  8. AppDynamics
  9. Sumo Logic
  10. Sentry

82% with consensus · 95% self-consistent

GLM-5.3

  1. Datadog
  2. Dynatrace
  3. Grafana
  4. New Relic
  5. Prometheus
  6. Splunk Enterprise
  7. Elastic Stack
  8. Sentry
  9. Honeycomb
  10. AppDynamics

85% with consensus · 86% self-consistent

Kimi K3

  1. Datadog
  2. New Relic
  3. Dynatrace
  4. Grafana
  5. Splunk Enterprise
  6. Prometheus
  7. Elastic Stack
  8. AppDynamics
  9. Honeycomb
  10. Sentry

84% with consensus · 89% self-consistent

MiniMax M3

  1. Datadog
  2. New Relic
  3. Dynatrace
  4. Grafana
  5. Splunk Observability Cloud
  6. Prometheus
  7. AppDynamics
  8. Honeycomb
  9. Elastic Stack
  10. Sentry

90% with consensus · 93% self-consistent

Mistral Large 4

  1. Datadog
  2. New Relic
  3. Dynatrace
  4. Grafana
  5. Splunk Observability Cloud
  6. AppDynamics
  7. Prometheus
  8. Elastic Stack
  9. Sentry
  10. SolarWinds

89% with consensus · 88% self-consistent

Nemotron 3 Ultra

  1. Datadog
  2. New Relic
  3. Grafana
  4. Dynatrace
  5. Elastic Stack
  6. Honeycomb
  7. Splunk Observability Cloud
  8. Splunk Enterprise
  9. SigNoz
  10. AppDynamics

80% with consensus · 84% self-consistent

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 75 (lightest) to 99 (darkest)

Claude Haiku 5.5GPT-6 LunaGemini 4 ArgonQwen 3.8 FlashDeepSeek V4 ProGLM-5.3Kimi K3MiniMax M3Mistral Large 4Nemotron 3 Ultra
Claude Haiku 5.5998691798279858577
GPT-6 Luna998591808078858578
Gemini 4 Argon868589778784858275
Qwen 3.8 Flash919189798684909077
DeepSeek V4 Pro798077797577818086
GLM-5.3828087867585787777
Kimi K3797884847785918984
MiniMax M3858585908178919684
Mistral Large 4858582908077899683
Nemotron 3 Ultra777875778677848483