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Command R (08-2024) vs GPT-4.1 Mini

vs
GPT-4.1 Mini

OpenAI

56#223
Signal-by-Signal Comparison
SignalCommand R (08-2024)DeltaGPT-4.1 Mini
Capabilities
50
-33
83
Benchmarks
47
-11
58
Pricing
99
+1
98
Context window size
81
-14
96
Recency
0
-38
38
Output Capacity
58
-15
72
Overall Result
1 wins
of 6
5 wins
GPT-4.1 Mini wins 5 of 6 signals

Score History

Score History (31 data points)
Command R (08-2024)GPT-4.1 Mini
Command R (08-2024)

48.7

current score

Leader

GPT-4.1 Mini

right now

GPT-4.1 Mini

56.2

current score

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

Command R (08-2024)

Cohere

Best Value
Per request$0.000450
Daily$1.50
Monthly$45.00
Annual$540.00

GPT-4.1 Mini

OpenAI

Per request$0.001200
Daily$4.00
Monthly$120.00
Annual$1440.00

Command R (08-2024) saves you $75.00/month

That's $900.00/year compared to GPT-4.1 Mini at your current usage level of 100K calls/month.

63% cheaper
Choose Command R (08-2024) for cost optimization

Command R (08-2024) pricing:
Input:$0.15/M tokens
Output:$0.60/M tokens
GPT-4.1 Mini pricing:
Input:$0.40/M tokens
Output:$1.60/M tokens
Command R (08-2024)

Cohere

49

Composite Score

Winner
GPT-4.1 Mini

OpenAI

56

Composite Score

Signal-by-Signal Comparison
MetricCommand R (08-2024)GPT-4.1 MiniWinner
Overall Score
49
56
GPT-4.1 Mini
Rank#229#223
GPT-4.1 Mini
Quality Rank#229#223
GPT-4.1 Mini
Adoption Rank#229#223
GPT-4.1 Mini
Parameters------
Context Window128K1048K
GPT-4.1 Mini
Pricing$0.15/$0.60/M$0.40/$1.60/M--
Signal Scores
Capabilities
50
83
GPT-4.1 Mini
Benchmarks
47
58
GPT-4.1 Mini
Pricing
99
98
Command R (08-2024)
Context window size
81
96
GPT-4.1 Mini
Recency
0
38
GPT-4.1 Mini
Output Capacity
58
72
GPT-4.1 Mini
Benchmark Head-to-Head(3 benchmarks)
Command R: 0GPT-4.1 Mini: 2
Command R
GPT-4.1 Mini
Normalized 0-100%
Arena Elo
12501383
LiveBench
46.7%-
BigCodeBench
37.1%48.9%
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 R (08-2024)Entry Level

Scores 49/100 (rank #229), placing it in the top 21% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-4.1 MiniCompetitive

Scores 56/100 (rank #223), placing it in the top 23% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-4.1 Mini has a 8-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Command R (08-2024) when you need:

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

Choose GPT-4.1 Mini when you need:

  • Processing long documents or large codebases (1048K token context)
  • Multimodal workflows that require image understanding
Cost-Performance Analysis
Command R (08-2024)Best Value
Input cost$0.15/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$11.25
GPT-4.1 Mini
Input cost$0.40/M tokens
Output cost$1.60/M tokens
Cost per quality point$0.036
Est. monthly (1M tokens/day)$30.00

Command R (08-2024) offers 63% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Command R (08-2024) vs $30.00/month with GPT-4.1 Mini - a $18.75 monthly difference.

Latency & Speed
Command R (08-2024)Faster
Speed score0/100
GPT-4.1 Mini
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 R (08-2024)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Command R (08-2024) also offers lower per-token costs for high-volume support

Command R (08-2024)

Long document analysis

Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-4.1 Mini

Batch data extraction

Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily

Command R (08-2024)

Creative writing & content

Higher overall composite score (56/100) correlates with better nuance, coherence, and style in long-form content

GPT-4.1 Mini

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

GPT-4.1 Mini
Which Should You Choose?
Our recommendation:
GPT-4.1 Mini

GPT-4.1 Mini has a moderate advantage with a 7.5-point lead in composite score. It wins on more signal dimensions, but Command R (08-2024) has specific strengths that could make it the better choice for certain workflows.

by Cohere

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 63% 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
GPT-4.1 Mini
Recommended

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityCommand R (08-2024)GPT-4.1 Mini
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Command R (08-2024)

Cohere

Best Value
$0.9900
estimated monthly cost

GPT-4.1 Mini

OpenAI

$2.64
estimated monthly cost

Command R (08-2024) saves you $1.65/month

That's 63% cheaper than GPT-4.1 Mini 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 R (08-2024)GPT-4.1 Mini
Context Window128K1.0M
Max Output Tokens4,00032,768
Open SourceNoNo
CreatedAug 30, 2024Apr 14, 2025
Last updated: 14m ago

相关对比

Command R (08-2024) vs GPT-4.1 Mini (2026) | LM Market Cap