Cohere Models

16 modelsGeneral models from $2.5/M inputUp to 256K context

Usage

Last 1 days · 2026-09-10 to 2026-09-10

Tokens

1.5K

Requests

2

Models in use

1 of 16

Tokens per day, stacked by model

07531.5K09-102026-09-10 — 1,505 tokens command-a-plus-05-2026: 1,505

Which models that traffic went to

  1. Command A Plus 05 2026100.0%1.5K

Share of 1.5K tokens.

The two views disagree on purpose: a model can take a large share of the calls and a small share of the tokens — many short requests — or the reverse. Which one matters depends on whether your cost is driven by call volume or by prompt length. Measured on AIHubMix over the last 1 days, counting the 16 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 16 Cohere Models

Open in model list
Cohere models on AIHubMix with input and output modalities, context length, maximum output, price per million tokens including cache read and cache write rates, and measured throughput and latency.
Modalities
command-a-03-2025Takes text, returns text.256K8K$2.5$10/M
command-a-plus-05-2026Takes text, vision, returns text.128K64K$2.5$10/M
cohere-rerank-v4.0-fastTakes text. Output modality not published.33K—$2$2/M
cohere-rerank-v4.0-proTakes text. Output modality not published.33K—$2$2/M
aihubmix-command-r-08-2024Takes text, returns text.——$0.2$0.8/M
command-r-08-2024Takes text, returns text.——$0.2$0.8/M
aihubmix-Cohere-command-rTakes text, returns text.——$0.64$1.92/M
command-rTakes text, returns text.——$0.64$1.92/M
commandTakes text, returns text.——$1$2/M
command-light——$1$2/M
command-light-nightly——$1$2/M
command-nightly——$1$2/M
aihubmix-command-r-plus-08-2024Takes text, returns text.——$2.8$11.2/M
command-r-plus-08-2024Takes text, returns text.——$2.8$11.2/M
aihubmix-command-r-plusTakes text, returns text.——$3.84$19.2/M
command-r-plusTakes text, returns text.——$3.84$19.2/M

Prices are USD per million tokens; cache read and cache write are the rates for prompt-cache hits and for writing a prompt into the cache. Throughput and latency are measured on AIHubMix — the same figures the model detail page shows — not vendor claims. A dash means the catalog does not publish that field for that model, which is not the same as the model not supporting it.

Common Comparisons

aihubmix-Cohere-command-r vs aihubmix-command-r-08-2024aihubmix-Cohere-command-r vs aihubmix-command-r-plusaihubmix-Cohere-command-r vs aihubmix-command-r-plus-08-2024aihubmix-Cohere-command-r vs gpt-5.6-lunaaihubmix-Cohere-command-r vs deepseek-v4-flash

Cohere on AIHubMix

Which Cohere model should I start with?

command-a-plus-05-2026 at $2.5/M input — the cheapest entry here that declares tool calling, and it carries a 128K context. Move up to aihubmix-command-r-plus when answer quality matters more than cost.

Which of these models reason before answering?

1 of the 16 models here declare a reasoning phase — they work through the problem before producing an answer, which helps on multi-step problems at the cost of extra output tokens. Use the Reasoning filter above the table to see them. The catalog does not record anything further about how they differ, so this page does not sort them into families.

Why are there several entries for the same model?

Because each row is a route you can call, not a model release. Some IDs name an upstream (azure-, alicloud-, cc-), and some differ only in capitalisation, kept so older integrations keep working.

The catalog does not carry a field saying which of those a given row is, so this page does not sort them into buckets it would have to invent. Every row shows that route’s own price, context and speed — compare those directly, and open a model to see the upstreams that serve it.

Do I need a separate Cohere account?

No. One AIHubMix key covers every model on this page, and switching between them is a change to the model string — billing, rate limits, and logs stay in one place.

Other Model Authors

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OpenAI
145 modelsQwen
118 modelsGoogle
97 modelsLlama
42 modelsChatGLM
40 models

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