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  5. Command A+vsDeepSeek R1 0528
Updated Sep 2026

Command A+vsDeepSeek R1 0528

DeepSeek R1 0528 is cheaper than Command A+ at $0/M vs $0.3/M input tokens.

Command A+ and DeepSeek R1 0528 compared across 17 shared prompts
SpecCommand A+DeepSeek R1 0528
Input price$0.3/M tokensFree
Output price$1.5/M tokensFree
Context window192K tokens164K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026May 2025
Side by side

Same prompt, both answers

Opening lines from 4 of the 17 prompts both answered. Formatting stripped, words untouched.

Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

Command A+1,034 words
48-HOUR CRISIS ACTION PLAN: ETHICAL, LEGAL, AND FINANCIAL RISK MANAGEMENT HOURS 0-1: IMMEDIATE ASSESSMENT & CRISIS TEAM ACTIVATION Actions: Activate Crisis Management Team (CMT): CEO, Legal Counsel, Medical Director, Head of Regulatory Affairs, Head of PR, CFO, Head of HR Secure all data related to liver failure cases…
Read the full answer
DeepSeek R1 0528478 words
Here's a concrete, hour-by-hour action plan prioritizing patient safety, legal compliance, and long-term stakeholder trust, while managing immediate financial and reputational risks: Core Principle: Patient safety and regulatory compliance are non-negotiable.
Read the full answer

Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Command A+2,523 words
A 1920 Transistor: The Ripple Effects Through 1980 The Early Spark – 1920s‑30s What would change? Solid‑state amplifiers appear a quarter‑century earlier. The first practical transistor (likely a point‑contact or junction type) would be patented by the early 1930s, giving radio receivers a tiny, low‑power, reliable…
Read the full answer
DeepSeek R1 05281,203 words
The invention of the transistor in 1920, rather than 1947, would have fundamentally reshaped the 20th century, creating a technological acceleration of roughly 25-30 years by 1980. Here’s a detailed analysis of the implications: I.
Read the full answer

Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

Command A+814 words
1. For an experienced software engineer Think of a large language model (LLM) as a massively parallel, distributed key‑value store that has been trained on the entire internet.
Read the full answer
DeepSeek R1 0528848 words
Here's how to explain LLM learning and generation to each audience, tailored to their perspective: For the Experienced Software Engineer (Skeptical about "Next Word Prediction") Focus: Systems analogy, emergent complexity, pattern recognition as understanding.
Read the full answer

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

Command A+1,005 words
Three weakest claims in the deck (with why they’re weak and how to fix them) “Our proprietary EEG headband decodes neural patterns into text with 94 % accuracy – works with any language, any device.”
Read the full answer
DeepSeek R1 0528657 words
Here are the 3 weakest claims in the MindMeld AI pitch deck, why they are weak, and how to strengthen them: Weak Claim (Slide 3): "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy. Works with any language, any device."
Read the full answer
Our Verdict
DeepSeek R1 0528
DeepSeek R1 0528
Command A+
Command A+Runner-up

Not enough votes to call it. On the specs, DeepSeek R1 0528 has the edge: bigger model tier, major provider backing.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Command A+
Input
$0.30
Output
$1.50
DeepSeek R1 0528
Input
$0.000
Output
$0.000
Where to run it

5 hosts, cheapest first

Command A+1 host
HostInOutContextUptime
Cohere$0.30 in·$1.50 out·192k·99.3% up
DeepSeek R1 05284 hosts
HostInOutContextUptime
DDeepInfrafp4$0.50 in·$2.15 out·164k·99.9% upSSiliconFlowfp8$0.50 in·$2.18 out·164k·99.9% upSStreamLake$0.57 in·$2.29 out·128k·99.3% upNNovitafp8$0.70 in·$2.50 out·164k·99.5% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Command A+ is developed by Cohere while DeepSeek R1 0528 is developed by DeepSeek. Command A+ has a 192K token context window vs DeepSeek R1 0528's 164K. You can compare their actual outputs across 17 challenges on Rival to see how they differ in practice.

It depends on your use case. Command A+ and DeepSeek R1 0528 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 17 challenges so you can judge which fits your needs best.

Command A+ costs $0.3/M input tokens and DeepSeek R1 0528 costs $0/M input tokens. DeepSeek R1 0528 is $0.30/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of Command A+ and DeepSeek R1 0528 across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

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Model pages

Command A+ logo
Command A+17 outputs, specs and price
DeepSeek R1 0528 logo
DeepSeek R1 052858 outputs, specs and price
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