Best observability tools (worth paying for?)

We asked 10 models: Which monitoring and observability 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
78%
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. Datadog
  2. Grafana
  3. New Relic
  4. Dynatrace
  5. Splunk
  6. Prometheus
  7. PagerDuty
  8. Sentry
  9. Honeycomb
  10. Elastic

91% with consensus · 89% self-consistent

GPT-6 Luna

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

96% with consensus · 93% self-consistent

Gemini 4 Argon

  1. Grafana
  2. Datadog
  3. Honeycomb
  4. Sentry
  5. Chronosphere
  6. New Relic
  7. Dynatrace
  8. Coralogix
  9. Better Stack
  10. Axiom

61% with consensus · 86% self-consistent

Qwen 3.8 Flash

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

94% with consensus · 88% self-consistent

DeepSeek V4 Pro

  1. Datadog
  2. Grafana
  3. Honeycomb
  4. New Relic
  5. Sentry
  6. Splunk
  7. Dynatrace
  8. PagerDuty
  9. Chronosphere
  10. OpenTelemetry

87% with consensus · 89% self-consistent

GLM-5.3

  1. Datadog
  2. Grafana
  3. New Relic
  4. Dynatrace
  5. Honeycomb
  6. Sumo Logic
  7. Splunk
  8. Sentry
  9. PagerDuty
  10. Chronosphere

95% with consensus · 86% self-consistent

Kimi K3

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

91% with consensus · 90% self-consistent

MiniMax M3

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

91% with consensus · 83% self-consistent

Mistral Large 4

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

87% with consensus · 84% self-consistent

Nemotron 3 Ultra

  1. Datadog
  2. New Relic
  3. Grafana
  4. Dynatrace
  5. Honeycomb
  6. Splunk
  7. Elastic
  8. Lightstep
  9. PagerDuty
  10. Signoz

89% with consensus · 90% self-consistent

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 50 (lightest) to 95 (darkest)

Claude Haiku 5.5GPT-6 LunaGemini 4 ArgonQwen 3.8 FlashDeepSeek V4 ProGLM-5.3Kimi K3MiniMax M3Mistral Large 4Nemotron 3 Ultra
Claude Haiku 5.5925494818988868882
GPT-6 Luna925895849291908687
Gemini 4 Argon545858726064625150
Qwen 3.8 Flash949558839092878983
DeepSeek V4 Pro818472838587887876
GLM-5.3899260908586868385
Kimi K3889164928786908681
MiniMax M3869062878886908282
Mistral Large 4888651897883868290
Nemotron 3 Ultra828750837685818290