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Command R (08-2024) vs GPT-5 Mini

vs
GPT-5 Mini

OpenAI

41#185
Signal-by-Signal Comparison
SignalCommand R (08-2024)DeltaGPT-5 Mini
Capabilities
50
-50
100
Benchmarks
38
+38
0
Pricing
99
+1
98
Context window size
81
-8
89
Recency
0
-54
54
Output Capacity
58
-24
82
Overall Result
2 wins
of 6
4 wins
GPT-5 Mini wins 4 of 6 signals

Score History

Score History (35 data points)
Command R (08-2024)GPT-5 Mini
Command R (08-2024)

40.5

current score

Leader

Tied

right now

GPT-5 Mini

40.5

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-5 Mini

OpenAI

Per request$0.001250
Daily$4.17
Monthly$125.00
Annual$1500.00

Command R (08-2024) saves you $80.00/month

That's $960.00/year compared to GPT-5 Mini at your current usage level of 100K calls/month.

64% 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-5 Mini pricing:
Input:$0.25/M tokens
Output:$2.00/M tokens
Tie
Command R (08-2024)

Cohere

41

Composite Score

Tie
GPT-5 Mini

OpenAI

41

Composite Score

Signal-by-Signal Comparison
MetricCommand R (08-2024)GPT-5 MiniWinner
Overall Score
41
41
--
Rank#186#185
GPT-5 Mini
Quality Rank#186#185
GPT-5 Mini
Adoption Rank#186#185
GPT-5 Mini
Parameters------
Context Window128K400K
GPT-5 Mini
Pricing$0.15/$0.60/M$0.25/$2.00/M--
Signal Scores
Capabilities
50
100
GPT-5 Mini
Benchmarks
38
--
Command R (08-2024)
Pricing
99
98
Command R (08-2024)
Context window size
81
89
GPT-5 Mini
Recency
0
54
GPT-5 Mini
Output Capacity
58
82
GPT-5 Mini
Benchmark Head-to-Head(3 benchmarks)
Command R: 0GPT-5 Mini: 0
Command R
GPT-5 Mini
Normalized 0-100%
LiveBench
46.7%-
HLE
-19.44%
BigCodeBench
37.1%-
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 41/100 (rank #186), placing it in the top 36% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5 MiniEntry Level

Scores 41/100 (rank #185), placing it in the top 37% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

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-5 Mini when you need:

  • Processing long documents or large codebases (400K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
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$0.019
Est. monthly (1M tokens/day)$11.25
GPT-5 Mini
Input cost$0.25/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.056
Est. monthly (1M tokens/day)$33.75

Command R (08-2024) offers 67% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Command R (08-2024) vs $33.75/month with GPT-5 Mini - a $22.50 monthly difference.

Latency & Speed
Command R (08-2024)Faster
Speed score0/100
GPT-5 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 (400K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5 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 (41/100) correlates with better nuance, coherence, and style in long-form content

Command R (08-2024)

Image understanding & OCR

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

GPT-5 Mini
Which Should You Choose?
Our recommendation:
Command R (08-2024)

Command R (08-2024) and GPT-5 Mini are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Cohere

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 67% 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

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityCommand R (08-2024)GPT-5 Mini
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
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-5 Mini

OpenAI

$2.85
estimated monthly cost

Command R (08-2024) saves you $1.86/month

That's 65% cheaper than GPT-5 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-5 Mini
Context Window128K400K
Max Output Tokens4,000128,000
Open SourceNoNo
CreatedAug 30, 2024Aug 7, 2025
Last updated: 59m ago

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