ModelPriceWatch.com
Last scan 2026-09-22 Models tracked 267 Providers 35 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Command R 08-2024

by Cohere · 35B parameters

Current budget cheap tier
Email me when Command R 08-2024 gets cheaper

Today's price · per 1M tokens

Input

$0.150

per 1M tokens

Output

$0.600

per 1M tokens

Blended

$0.262

blended $/1M — 3:1 weighted input:output

How this price is scoped: Cohere's list price for Command R 08-2024, read 2026-08-22 on the first-party model card at docs.cohere.com/docs/command-r: Input $0.15 / 1M tokens, Output $0.6 / 1M tokens, beside a 128,000-token context window and the model ID command-r-08-2024 — which is this row's identity, printed by Cohere on the same card as the price. We cite that card rather than cohere.com/pricing because the rate card names this SKU only as plain "Command R", never with the 08-2024 date pin, while naming the older sibling explicitly as "Command R 03-2024" in its legacy block. That made the rate card's "Command R" an inference about which SKU it meant; the model card settles it as an identity instead.

Source: official Cohere pricing · read MODELPRICEWATCH.COM · 2026-09-22

Price receipt

We read Cohere's own pricing page on and found command-r-08-2024 listed with a price in the same block, keyed by this model's own id — that read is where the number above comes from. We keep the page text we read; its content hash is 6c6c1ffc03.

Overview

Smaller Command model. $0.15/$0.60 per 1M tokens. Priced on Cohere's Command R model card, which carries this row's model ID. See the price note.

Capabilities

struck through = not supported
Input 1/4
Text ✓ Image Audio Video
Output
Text ✓
Features 1/9
Prompt caching Reasoning Coding Fast inference Long context ✓ Open weights Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 0.5th1 independent measurement
Percentile per $/Mtok 1.9

We hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.

Independent composite scores
  • LMSYS Chatbot Arena: 1194.7 ELO (Human preference)
How it stacks up
  • Ranks #180 of 181 comparably-measured models by percentile score, across 1 independent measurement
  • Ranks #172 of 181 comparably-tested models by normalized performance per dollar

Source: LMSYS Chatbot Arena (2025-07-15 archive) · updated · See full rankings →

Specifications

Provider
Cohere
Context window
128K tokens
Modality
text
Parameters
35B
Open source
No — proprietary
Released
Status
Current
Last updated
Tags
budget

Availability verified: — listed on Cohere's own page

Try on Cohere Official pricing page