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Command R (08-2024) vs GPT-5.5 Pro (batch)

Signal-by-Signal Comparison
SignalCommand R (08-2024)DeltaGPT-5.5 Pro (batch)
Capabilities
50
-50
100
Benchmarks
47
-45
93
Pricing
99
+89
10
Context window size
81
-14
96
Recency
4
-96
100
Output Capacity
60
-25
85
Overall Result
1 wins
of 6
5 wins
GPT-5.5 Pro (batch) wins 5 of 6 signals

Score History

Score History (25 data points)
Command R (08-2024)GPT-5.5 Pro (batch)
Command R (08-2024)

48.7

current score

Leader

GPT-5.5 Pro (batch)

right now

GPT-5.5 Pro (batch)

92.7

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-5.5 Pro (batch)

OpenAI

Per request$0.060000
Daily$200.00
Monthly$6000.00
Annual$72000.00

Command R (08-2024) saves you $5955.00/month

That's $71460.00/year compared to GPT-5.5 Pro (batch) at your current usage level of 100K calls/month.

99% 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-5.5 Pro (batch) pricing:
Input:$15.00/M tokens
Output:$90.00/M tokens
Command R (08-2024)

Cohere

49

Composite Score

Winner
GPT-5.5 Pro (batch)

OpenAI

93

Composite Score

Signal-by-Signal Comparison
MetricCommand R (08-2024)GPT-5.5 Pro (batch)Winner
Overall Score
49
93
GPT-5.5 Pro (batch)
Rank#227#12
GPT-5.5 Pro (batch)
Quality Rank#227#12
GPT-5.5 Pro (batch)
Adoption Rank#227#12
GPT-5.5 Pro (batch)
Parameters------
Context Window128K1050K
GPT-5.5 Pro (batch)
Pricing$0.15/$0.60/M$15.00/$90.00/M--
Signal Scores
Capabilities
50
100
GPT-5.5 Pro (batch)
Benchmarks
47
93
GPT-5.5 Pro (batch)
Pricing
99
10
Command R (08-2024)
Context window size
81
96
GPT-5.5 Pro (batch)
Recency
4
100
GPT-5.5 Pro (batch)
Output Capacity
60
85
GPT-5.5 Pro (batch)
Benchmark Head-to-Head(7 benchmarks)
Command R: 0GPT-5.5 Pro: 1
Command R
GPT-5.5 Pro
Normalized 0-100%
MMLU
-92.4%
GPQA Diamond
-93.6%
SWE-bench Verified
-88.7%
Arena Elo
12501475
LiveBench
46.7%-
HLE
-41.4%
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 49/100 (rank #227), placing it in the top 22% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.5 Pro (batch)Elite Tier

Scores 93/100 (rank #12), placing it in the top 96% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.5 Pro (batch) has a 44-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 R (08-2024) when you need:

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

Choose GPT-5.5 Pro (batch) when you need:

  • Processing long documents or large codebases (1050K 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$0.015
Est. monthly (1M tokens/day)$11.25
GPT-5.5 Pro (batch)
Input cost$15.00/M tokens
Output cost$90.00/M tokens
Cost per quality point$1.133
Est. monthly (1M tokens/day)$1575.00

Command R (08-2024) offers 99% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Command R (08-2024) vs $1575.00/month with GPT-5.5 Pro (batch) - a $1563.75 monthly difference.

Latency & Speed
Command R (08-2024)Faster
Speed score0/100
GPT-5.5 Pro (batch)
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 (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.5 Pro (batch)

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 (93/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.5 Pro (batch)

Image understanding & OCR

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

GPT-5.5 Pro (batch)
Which Should You Choose?
Our recommendation:
GPT-5.5 Pro (batch)

GPT-5.5 Pro (batch) clearly outperforms Command R (08-2024) with a significant 44-point lead. For most general use cases, GPT-5.5 Pro (batch) is the stronger choice. However, Command R (08-2024) may still excel in niche scenarios.

by Cohere

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 99% 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-5.5 Pro (batch)
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-5.5 Pro (batch)

OpenAI

$135.00
estimated monthly cost

Command R (08-2024) saves you $134.01/month

That's 99% cheaper than GPT-5.5 Pro (batch) 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-5.5 Pro (batch)
Context Window128K1.1M
Max Output Tokens4,000128,000
Open SourceNoNo
CreatedAug 30, 2024Apr 24, 2026
Last updated: 26m ago

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Command R (08-2024) vs GPT-5.5 Pro (batch) (2026) | LM Market Cap