Cohere Models API Cost Calculator & Comparison

Every Cohere model, side by side — current API rates, context window, benchmarks, and a live calculator that ranks them at your exact workload. 4 active models, 4 with public pricing. Prices refreshed daily.

Models tracked

4

Active

4

With public pricing

4

Cheapest input

$0.04/1M

Calculate your Cohere API cost at your workload.

Set your workload — every priced model ranks in real time.

Adjust the workload

Every model below updates in real time.

1,00010,00050,000250,0001M10M

Ranked by your monthly bill

No models with public pricing available to compare right now.

Pricing at a glance

Blended $/1M tokens across the lineup.

Blended price uses a 3-to-1 input/output ratio. Green bar = cheapest.

Quick picks

Best Cohere model for your use case.

As of April 2026, Cohere offers 4 active models via API, ranging from $0.037/1M to $2.50/1M input tokens. The most context-rich model handles up to 256K tokens. Models support tool use. All prices are USD per 1 million tokens.

Lowest cost

Command R7B (12-2024)

$0.037/1M input

Largest context

Command A

256K tokens

Tool use / agents

Command R (08-2024)

Function calling

Quality vs price

Cohere benchmarks at a glance.

Each point is one model — X is blended $/1M tokens, Y is the average of available quality benchmarks. Larger bubbles mean larger context windows.

Per-model benchmark scores

ModelAvgScores
Command R+ (08-2024)75.0
MMLU75
Command A13.0
AA Intelligence Index13

Every model

Every Cohere model — pricing, context & capabilities.

ModelContextInput /1MOutput /1M
Command A256K$2.50$10.00
Command R7B (12-2024)128K$0.037$0.15
Command R (08-2024)128K$0.15$0.6
Command R+ (08-2024)128K$2.50$10.00

FAQ

Частые вопросы

Pricing patterns, best-known use cases, and how this provider stacks up.

Get instant answers from our AI agent

Cohere API pricing ranges from $0.037 to $2.50 per 1M input tokens. Output tokens cost more than input on every model. Prices are per 1 million tokens (1M ≈ 750,000 words). Use the calculator above to estimate your monthly spend at your actual workload.
Command R7B (12-2024) is the lowest-priced Cohere model with public pricing at $0.037/1M input tokens. It suits high-volume tasks where cost matters most — classification, extraction, summarization, and similar workloads that don't need frontier reasoning.
Command A is Cohere's highest-tier model at $2.50/1M input. It delivers the most sophisticated reasoning, instruction-following, and nuance. For workloads that don't require frontier performance, a mid-tier model typically cuts inference costs substantially.
Command A, Command R7B (12-2024), Command R (08-2024) and 1 more support function calling (tool use), required for agentic workflows. Agents need a model that reliably follows structured output schemas — test with your specific tool definitions before committing to production volumes.
Yes — Cohere supports prompt caching (discounts for repeated context) and batch processing (accept a delay, cut costs ~50%). These rates appear in the table above under "Cached /1M" and "Batch /1M." Caching pays off quickly if your prompts share a long system prompt or document prefix across many calls.
Cohere has historically adjusted prices when launching new model generations, often cutting rates to stay competitive. Buzzi.ai snapshots pricing daily — you can subscribe to price-drop alerts on any Cohere model using the "Alert me" button on its detail page.
Use the main comparison wizard to run the same calculator across Cohere, Anthropic, Google, Meta, Mistral, and 20+ other providers. Set your exact workload and get a ranked cost chart in under a minute.

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