StatusOperational Live status
LLMAPI discountUp to −25%
Models on LLMAPI7
From$4.38 / 1M blended
RegionsUS, EU
Best uptime (24h)99.91%
Verdict
Cohere builds the Command model family and industry-leading embedding and rerank models, with a focus on enterprise RAG workloads. Through LLMAPI you reach 7 Cohere models on the same OpenAI-compatible endpoint as every other provider, so switching between them is a one-string change.
Good fit for
- Text Generation
- Vision / Image Understanding
- Structured Output / JSON
- Factual Accuracy / Low Hallucination
- Best Uptime & Reliability
- Customer Support
Consider another provider for
- No code generation models in this catalog
- No image generation models in this catalog
- No video generation models in this catalog
- No video understanding models in this catalog
Key facts
Where a provider does not document something we say so rather than guess. Everything LLMAPI records about Cohere, in one table.
Overview | |
| Provider | Cohere |
| Website | cohere.com |
| Best for | Enterprise RAG, search, and reranking pipelines |
| Models on LLMAPI | 7 |
| Popular models | Command A, Command R+, Command R, Embed v4, Rerank 3.5, Aya Expanse 32B |
Access & routing | |
| API compatibility | OpenAI-compatible — /v1/chat/completions |
| Model ID prefix | cohere/<model> |
| Regions | US, EU |
| Fallback | Configurable — on 429 or 5xx the router switches to any other model or provider on your list |
| Billing | One invoice across every provider, with per-key spend limits |
| Volume discount | Eligible |
Performance (median across listed models) | |
| Blended price / 1M | $4.38 |
| Uptime (24h) | 99.91% (median across listed models) |
Modality | |
| Tags | |
Capability | |
| Tags | |
Deployment | |
| Tags | |
Industry | |
| Tags | |
Workflow | |
| Tags | |
Trust & safety | |
| Tags | |
Audience | |
| Tags | |
Privacy & data | |
| Inference location | US, EU and private deployments |
| Data residency | Private and cloud deployments support residency |
| Default retention | Configurable, short by default |
| Zero-data retention | On request Available with private deployment |
| Training on API data | No Enterprise data is excluded from training |
| Human review | Abuse review only |
Compliance & lifecycle | |
| Certifications | SOC 2 Type II · ISO 27001 · GDPR DPA · HIPAA available |
| Deprecation notice | Not documented by the provider |
| Operational status | Operational Live status |
Prices and context from the OpenRouter public catalogue; uptime and output speed from OpenRouter provider endpoints; quality scores from LiveBench. Refreshed nightly — last updated 2026-09-29. — means no figure is published for that model.
Best Cohere models
A quick view of how Cohere 's 7 models compare on intelligence, output speed and price — so you can pick the right one for your use case.
Most intelligent
#1Aya Expanse 32B45
#2Rerank 3.544
#3Embed v436
#4Aya Vision29
Intelligence index · 7 models
Fastest
#1Aya Expanse 32B435 t/s
#2Command R429 t/s
#3Embed v4386 t/s
#4Rerank 3.5310 t/s
Output tokens / second · 7 models
Lowest price
#1Command A$2.38
#2Aya Expanse 32B$2.58
#3Command R+$5.49
#4Embed v4$5.50
Blended price per 1M tokens · 7 models
Compared with other hosts
How Cohere sits against the rest of the catalog, using the same measurements shown on every provider page.
- Price. Median blended price of $5.50 per 1M tokens — 10% below the $6.13 median across all 50 providers in the catalog.
- Throughput. Median output speed of 310 tokens/s, 11% slower than the 348 tok/s catalog median.
- Catalog depth. 7 models listed, against a catalog average of 5 per provider.
- Integration. Identical to every other provider here — same endpoint, same SDK, same keys, so a switch costs one string change.
Median blended price per 1M tokens
lower is better| Cohere | $5.50 | |
| Fireworks | $5.50 | |
| Novita | $5.46 | |
| MiniMax | $5.41 | |
| Groq | $5.40 | |
| Modal | $5.61 |
Median output speed
higher is better| Cohere | 310 tok/s | |
| Fireworks | 480 tok/s | |
| Novita | 312 tok/s | |
| MiniMax | 273 tok/s | |
| Groq | 345 tok/s | |
| Modal | 501 tok/s |
Figures are medians across the models listed on each provider page and are refreshed with the catalog.
Models & pricing
Every Cohere model reachable with your LLMAPI key. Click a column heading to sort.
| Model | API model name | Uptime 24h | Price / 1M | Context |
|---|---|---|---|---|
| Command A | cohere/command-a | 99.91% | $ 4.38 | 256 k |
| Command R+ | cohere/command-r | — | — | — |
| Command R | cohere/command-r | — | — | — |
| Embed v4 | cohere/embed-v4 | — | — | — |
| Rerank 3.5 | cohere/rerank-3-5 | — | — | — |
| Aya Expanse 32B | cohere/aya-expanse-32b | — | — | — |
| Aya Vision | cohere/aya-vision | — | — | — |
Price is a blended per-1M-token figure; latency is time to first token and throughput is output tokens per second, measured on the LLMAPI edge.
Cost calculator
Pick a model, enter your traffic, and see the monthly bill at LLMAPI rates.
Estimates use the blended per-1M-token price shown in the table above. Word counts differ by language — Cyrillic and CJK text uses 2–3× more tokens per word.
Cohere via LLMAPI
Same models, same features, one key. Prefix the model ID with cohere/ and point your OpenAI client at our base URL.
# Python · OpenAI SDK from openai import OpenAI client = OpenAI( base_url="https://api.llmapi.ai/v1", api_key="LLMAPI_KEY", ) r = client.chat.completions.create( model="cohere/command-a", messages=[{"role": "user", "content": "Hello"}], )
| Pricing | Eligible for LLMAPI volume discounts; billed on one invoice with every other provider. |
| Features | Full pass-through — tool calling, JSON schema, streaming, vision and reasoning behave exactly as on Cohere’s own API. |
| Fallback | Configurable. On 429 or 5xx the router switches to any model or provider on your fallback list. |
| Regions | US, EU |
| Your data | LLMAPI stores request metadata only — model, token counts, latency and status. No prompt or completion content. |
Capabilities & use cases
Each tag below is its own catalog page listing every provider that shares it.
Developer resources
Where to go next.
Join thousands of developers building on one API key
Every provider in the catalog, one key, one invoice.
Questions
How do I call Cohere models through LLMAPI?
Point any OpenAI-compatible client at https://api.llmapi.ai/v1 and use the model ID cohere/command-a. No other change is needed.
Does Cohere cost more through LLMAPI?
No. This provider is eligible for LLMAPI volume discounts, so heavy usage lands below list price.
Which regions are used?
US, EU
What happens if the provider returns an error?
On 429 or 5xx responses the router falls back to any other model or provider on your configured list, so requests keep succeeding.
How many Cohere models are available?
7 at the moment, all listed in the models table above and updated as the provider ships new ones.
Related providers
Providers covering similar use cases.
