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Command R7B (12-2024) vs DeepSeek V3

vs
DeepSeek V3

DeepSeek

70#163
Signal-by-Signal Comparison
SignalCommand R7B (12-2024)DeltaDeepSeek V3
Capabilities
33
-17
50
Benchmarks
38
-32
70
Pricing
100
+1
99
Context window size
81
-2
83
Recency
23
-2
26
Output Capacity
60
-10
70
Overall Result
1 wins
of 6
5 wins
DeepSeek V3 wins 5 of 6 signals

Score History

Score History (25 data points)
Command R7B (12-2024)DeepSeek V3
Command R7B (12-2024)

35.8

current score

Leader

DeepSeek V3

right now

DeepSeek V3

69.5

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

DeepSeek V3

DeepSeek

Per request$0.000772
Daily$2.57
Monthly$77.18
Annual$926.10

Command R7B (12-2024) saves you $65.93/month

That's $791.10/year compared to DeepSeek V3 at your current usage level of 100K calls/month.

85% cheaper
Choose Command R7B (12-2024) for cost optimization

Command R7B (12-2024) pricing:
Input:$0.04/M tokens
Output:$0.15/M tokens
DeepSeek V3 pricing:
Input:$0.26/M tokens
Output:$1.03/M tokens
Command R7B (12-2024)

Cohere

36

Composite Score

Winner
DeepSeek V3

DeepSeek

70

Composite Score

Signal-by-Signal Comparison
MetricCommand R7B (12-2024)DeepSeek V3Winner
Overall Score
36
70
DeepSeek V3
Rank#368#163
DeepSeek V3
Quality Rank#368#163
DeepSeek V3
Adoption Rank#368#163
DeepSeek V3
Parameters7B----
Context Window128K164K
DeepSeek V3
Pricing$0.04/$0.15/M$0.26/$1.03/M--
Signal Scores
Capabilities
33
50
DeepSeek V3
Benchmarks
38
70
DeepSeek V3
Pricing
100
99
Command R7B (12-2024)
Context window size
81
83
DeepSeek V3
Recency
23
26
DeepSeek V3
Output Capacity
60
70
DeepSeek V3
Benchmark Head-to-Head(13 benchmarks)
Command R7B: 0DeepSeek V3: 3
Command R7B
DeepSeek V3
Normalized 0-100%
MMLU
-88.5%
MMLU-Pro
28.58%75.9%
GPQA Diamond
-59.1%
MATH-500
-90.2%
HumanEval
-82.6%
SWE-bench Verified
-42%
AIME 2024
-39.2%
GSM8K
-96.7%
IFEval
77.13%87.1%
BBH
36.02%87.5%
Arena Elo
-1318
LiveBench
-60.4%
BigCodeBench
-50%
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
DeepSeek V3Competitive

Scores 70/100 (rank #163), placing it in the top 44% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

DeepSeek V3 has a 34-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 DeepSeek V3 when you need:

  • Agentic applications using tool/function calling
  • 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
DeepSeek V3
Input cost$0.26/M tokens
Output cost$1.03/M tokens
Cost per quality point$0.019
Est. monthly (1M tokens/day)$19.29

Command R7B (12-2024) offers 85% better value per quality point. At 1M tokens/day, you'd spend $2.81/month with Command R7B (12-2024) vs $19.29/month with DeepSeek V3 - a $16.48 monthly difference.

Latency & Speed
Command R7B (12-2024)Faster
Speed score0/100
DeepSeek V3
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

DeepSeek V3

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 (70/100) correlates with better nuance, coherence, and style in long-form content

DeepSeek V3
Which Should You Choose?
Our recommendation:
DeepSeek V3

DeepSeek V3 clearly outperforms Command R7B (12-2024) with a significant 33.7-point lead. For most general use cases, DeepSeek V3 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 - 85% 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
DeepSeek V3
Recommended

by DeepSeek

Consider for specialized use cases.

Capability Comparison
CapabilityCommand R7B (12-2024)DeepSeek V3
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Mode
Reasoning
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

DeepSeek V3

DeepSeek

$1.70
estimated monthly cost

Command R7B (12-2024) saves you $1.45/month

That's 85% cheaper than DeepSeek V3 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)DeepSeek V3
Context Window128K164K
Max Output Tokens4,00016,000
Open SourceNoYes
CreatedDec 14, 2024Dec 26, 2024
Last updated: 24m ago

相关对比

Command R7B (12-2024) vs DeepSeek V3 (2026) | LM Market Cap