Cohere
Cohere provides large language model APIs for developers and enterprises building natural language processing applications.
About this data
Updated June 29, 2026
Overall Pulse Score
+4 over this period
A 0-100 index summarizing the tone of 177 relevant public mentions gathered from public online communities across 13 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.
Weekly Sentiment Trend
Pulse Score by week over the selected period. Each point is one complete week of mentions.
This week in public discussion
Discussion around Cohere over the recent period was largely shaped by bug reports, which dominated mentions by a wide margin. Commenters frequently flagged reliability issues including rerank costs appearing as null, silent billing failures on Bedrock and Vertex, and a training-loss bug in the ASR implementation. On the positive side, several mentions praised integration flexibility and feature quality, with some discussions highlighting Cohere being incorporated into RAG and load-balancing workflows. The pulse score held steady, suggesting neither meaningful recovery nor further decline in community sentiment.
Read the deeper analysisAI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.
Sentiment mix by week
How the tone of public discussion splits each week.
Ringed points mark weeks with unusually high discussion volume, more than double this product's typical week.
Most-discussed praise
Most-discussed complaints
Themes across the selected period, with mention counts.
How Cohere compares
Pulse Score over the selected period versus the top tracked competitors in Software.
Where the mentions come from
Share of the 177 relevant public mentions in the selected period, by source.
Sample public mentions
Showing 5 of 177 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.
“Amazon Bedrock embedding models do not support cross-region inference prefixes. ### Description The Amazon Bedrock provider does not support **cross-region inference** for embedding models. AWS allows accessing certain models through cross-region inference access points, which ch...”
“[Bug]: OpenRouter rerank models not available in v0.26.1 UI, but /api/v1/rerank works. ### Self Checks - [x] I have searched for existing issues search for existing issues, including closed ones. - [x] I confirm that I am using English to submit this report (Language Policy). - [...”
“I have been working on multiple projects lately involving AI endpoints (including some I run locally) and I found I needed a way to easily load balance across multiple. Sometimes my on-prem would not be able to handle to load and Id have to crank up the z.ai usage or Anthropic de...”
“Feature Request: Opt-in Cohere Rerank API (Local Qwen reranker is extremely slow for non-English on CPU). Currently, qmd relies on node-llama-cpp with a local Qwen model (qwen3-reranker) for the reranking step. While this fits the project's fantastic "all-local" design, it create...”
“/cohere/v2/rerank returns 500 when backend is HuggingFace TEI (no schema translation path). ## Description /cohere/v2/rerank returns HTTP 500 (empty body) when the backend is a HuggingFace Text Embeddings Inference (TEI) reranker with schema: OpenAI v1. TEI rerankers expose a nat...”
1,144+ more analyzed mentions, full history, and theme breakdowns are part of Pro.
Get ProDeeper analysis
- Bug reports and reliability concerns dominated the conversation, accounting for the large majority of negative mentions across the window.
- Sentiment fell sharply as mention volume spiked in early June before showing only a small partial recovery in the most recent week.
- Opinion was divided on integrations, with some commenters praising connectivity while others flagged gaps and confusing error behavior.
- A smaller but consistent thread of feature praise and AI quality appreciation suggested a portion of users remained positively engaged despite the broader negativity.
| Praise theme | Mentions |
|---|---|
| Strong features | 34 |
| AI quality | 18 |
| Feature requests | 17 |
| Good integrations | 16 |
| New releases | 12 |
| Complaint theme | Mentions |
|---|---|
| Bugs | 67 |
| Reliability | 26 |
| Missing features | 20 |
| Lacking integrations | 19 |
| Compared to rivals | 4 |
Discussion of Cohere over the past four weeks was dominated by a heavy volume of bug reports, which formed the single largest theme in the conversation by a significant margin. Commenters frequently surfaced issues tied to cost tracking, usage mapping, and silent failures in rerank and embedding workflows, with several mentions pointing to billing-related data never being populated correctly. The tone around these reports was technical and frustrated, suggesting users were encountering problems in production or near-production environments rather than casual experimentation.
The score trajectory tells a clear story of deterioration followed by a faint stabilization. Early in the window, discussion was sparse but relatively positive, with scores in the high-60s to mid-80s. As mention volume surged sharply in early to mid June, sentiment dropped hard, bottoming out in the high 30s. The most recent period showed a modest uptick, though commenters who drove that recovery still appeared to be working through reliability and integration concerns rather than celebrating improvements.
Praise did exist in the conversation, and several mentions highlighted specific features and integration possibilities in appreciative terms. A thread of enthusiasm around AI output quality and new feature releases suggested a subset of users remained genuinely engaged with the product. Feature requests also surfaced with some regularity, which discussion suggested reflects ongoing user investment rather than abandonment.
Opinion was most divided around integrations. Some commenters described smooth and useful connections with broader tooling, while others flagged integration gaps and confusing error handling for non-standard model configurations. This split gave the integration theme an ambivalent character overall. UI complaints were relatively minor in volume, drawing little sustained attention compared to the bug and reliability threads that anchored most of the negative sentiment.
AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.
Member perspectives
Individual opinions from Pro members, posted over time. These are personal member views, not aggregated sentiment data.
Overall Pulse Score
+4 over this period
A 0-100 index summarizing the tone of 177 relevant public mentions gathered from public online communities across 13 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.
Data summary
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