AI Recommendation Standings / archive
LLM observability and evals: August 2026
The final August 2026 standings for “What should I use for LLM observability and evals?”. These numbers are fixed and can be cited by permalink. See the current standings.
AI share of voice · August 2026
610 sampled answers · 10 models
- 1LangSmithnew23.5%Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · GLM 5.2—
- 2Langfusenew22.8%Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · GLM 5.2· quiet
- 3Heliconenew19.6%Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · GLM 5.2—
- 4Braintrustnew15.9%Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · GLM 5.2—
- 5Arize Phoenixnew14.2%Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · GLM 5.2—
- 6DeepEvalnew9.7%Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · GLM 5.2—
Share of voice weights each compared model equally: it is the average, across the models, of how often each one named the tool in its own answers, so a model probed more than another can't skew it. Model chips list which AI models named it this month; the pulse is the sentiment of that month's developer mentions across Hacker News, Reddit, GitHub, Stack Overflow, Bluesky and more.
Quotable · copy freely
Averaged equally across 10 AI models, LangSmith is named in 23.5% of answers about llm observability and evals (7 of 10 name it).
The 3 prompts behind these standings
- ›What should I use for LLM observability? (recommendation)
- ›What are the best LangSmith alternatives? (alternatives)
- ›Which tool is best for evaluating LLM outputs? (recommendation)
Each prompt is sampled several times per model per probe because answers vary run to run; 610 answers across 8 probe runs fed this month.