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Command R7B (12-2024) vs R1

vs
R1

DeepSeek

74#134
Signal-by-Signal Comparison
SignalCommand R7B (12-2024)DeltaR1
Capabilities
33
-33
67
Benchmarks
38
-35
73
Pricing
100
+2
98
Context window size
81
-2
83
Recency
23
-7
30
Output Capacity
60
-10
70
Overall Result
1 wins
of 6
5 wins
R1 wins 5 of 6 signals

Score History

Score History (25 data points)
Command R7B (12-2024)R1
Command R7B (12-2024)

35.8

current score

Leader

R1

right now

R1

74.2

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Command R7B (12-2024)

Cohere

Best Value
Per request$0.000112
Daily$0.38
Monthly$11.25
Annual$135.00

R1

DeepSeek

Per request$0.001950
Daily$6.50
Monthly$195.00
Annual$2340.00

Command R7B (12-2024) saves you $183.75/month

That's $2205.00/year compared to R1 at your current usage level of 100K calls/month.

94% cheaper
Choose Command R7B (12-2024) for cost optimization

Command R7B (12-2024) pricing:
Input:$0.04/M tokens
Output:$0.15/M tokens
R1 pricing:
Input:$0.70/M tokens
Output:$2.50/M tokens
Command R7B (12-2024)

Cohere

36

Composite Score

Winner
R1

DeepSeek

74

Composite Score

Signal-by-Signal Comparison
MetricCommand R7B (12-2024)R1Winner
Overall Score
36
74
R1
Rank#368#134
R1
Quality Rank#368#134
R1
Adoption Rank#368#134
R1
Parameters7B----
Context Window128K164K
R1
Pricing$0.04/$0.15/M$0.70/$2.50/M--
Signal Scores
Capabilities
33
67
R1
Benchmarks
38
73
R1
Pricing
100
98
Command R7B (12-2024)
Context window size
81
83
R1
Recency
23
30
R1
Output Capacity
60
70
R1
Benchmark Head-to-Head(11 benchmarks)
Command R7B: 0R1: 3
Command R7B
R1
Normalized 0-100%
MMLU
-90.8%
MMLU-Pro
28.58%84%
GPQA Diamond
-71.5%
MATH-500
-97.3%
SWE-bench Verified
-49.2%
AIME 2024
-79.8%
IFEval
77.13%83.3%
BBH
36.02%85%
Arena Elo
-1369
LiveBench
-67.3%
BigCodeBench
-29.7%
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Command R7B (12-2024)Entry Level

Scores 36/100 (rank #368), placing it in the top -27% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
R1Strong Performer

Scores 74/100 (rank #134), placing it in the top 54% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

R1 has a 38-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Command R7B (12-2024) when you need:

  • High-volume production workloads where API costs must be minimized

Choose R1 when you need:

  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Command R7B (12-2024)Best Value
Input cost$0.04/M tokens
Output cost$0.15/M tokens
Cost per quality point$0.005
Est. monthly (1M tokens/day)$2.81
R1
Input cost$0.70/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.043
Est. monthly (1M tokens/day)$48.00

Command R7B (12-2024) offers 94% better value per quality point. At 1M tokens/day, you'd spend $2.81/month with Command R7B (12-2024) vs $48.00/month with R1 - a $45.19 monthly difference.

Latency & Speed
Command R7B (12-2024)Faster
Speed score0/100
R1
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Command R7B (12-2024)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Command R7B (12-2024) also offers lower per-token costs for high-volume support

Command R7B (12-2024)

Long document analysis

Larger context window (164K tokens) can process longer documents, contracts, and research papers in a single pass

R1

Batch data extraction

Lower output pricing ($0.15/M) reduces costs when processing thousands of records daily

Command R7B (12-2024)

Creative writing & content

Higher overall composite score (74/100) correlates with better nuance, coherence, and style in long-form content

R1
Which Should You Choose?
Our recommendation:
R1

R1 clearly outperforms Command R7B (12-2024) with a significant 38.400000000000006-point lead. For most general use cases, R1 is the stronger choice. However, Command R7B (12-2024) may still excel in niche scenarios.

by Cohere

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 94% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale
R1
Recommended

by DeepSeek

Consider for specialized use cases.

Capability Comparison
CapabilityCommand R7B (12-2024)R1
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Command R7B (12-2024)

Cohere

Best Value
$0.2475
estimated monthly cost

R1

DeepSeek

$4.26
estimated monthly cost

Command R7B (12-2024) saves you $4.01/month

That's 94% cheaper than R1 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterCommand R7B (12-2024)R1
Context Window128K164K
Max Output Tokens4,00016,000
Open SourceNoYes
CreatedDec 14, 2024Jan 20, 2025
Last updated: 11m ago

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