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Command R (08-2024) vs DeepSeek V3.1 Terminus

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Command R (08-2024) and DeepSeek V3.1 Terminus.

Cohere

Command R (08-2024)

command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...

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DeepSeek

DeepSeek V3.1 Terminus

DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...

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Technical Specifications

SpecificationCommand R (08-2024)DeepSeek V3.1 Terminus
ProviderCohereDeepSeek
Context Window128,000 tokens163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-08-302025-09-22

API Pricing Comparison

Input Price per Million Tokens

Command R (08-2024)

$0.15

DeepSeek V3.1 Terminus

$0.27

Output Price per Million Tokens

Command R (08-2024)

$0.60

DeepSeek V3.1 Terminus

$0.95

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Command R (08-2024) Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Terminus Quirks & Gotchas

No developer gotchas reported.