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Command A vs GPT-5.6 Luna

Command A

Cohere

51#226
vs
GPT-5.6 Luna

OpenAI

89#34
Signal-by-Signal Comparison
SignalCommand ADeltaGPT-5.6 Luna
Capabilities
33
-67
100
Benchmarks
51
-36
88
Pricing
90
-9
99
Context window size
86
-10
96
Recency
39
-61
100
Output Capacity
65
-20
85
Overall Result
0 wins
of 6
6 wins
GPT-5.6 Luna wins 6 of 6 signals

Score History

Score History (25 data points)
Command AGPT-5.6 Luna
Command A

50.8

current score

Leader

GPT-5.6 Luna

right now

GPT-5.6 Luna

89

current score

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

Command A

Cohere

Per request$0.007500
Daily$25.00
Monthly$750.00
Annual$9000.00

GPT-5.6 Luna

OpenAI

Best Value
Per request$0.000400
Daily$1.33
Monthly$40.00
Annual$480.00

GPT-5.6 Luna saves you $710.00/month

That's $8520.00/year compared to Command A at your current usage level of 100K calls/month.

95% cheaper
Choose GPT-5.6 Luna for cost optimization

Command A pricing:
Input:$2.50/M tokens
Output:$10.00/M tokens
GPT-5.6 Luna pricing:
Input:$0.10/M tokens
Output:$0.60/M tokens
Command A

Cohere

51

Composite Score

Winner
GPT-5.6 Luna

OpenAI

89

Composite Score

Signal-by-Signal Comparison
MetricCommand AGPT-5.6 LunaWinner
Overall Score
51
89
GPT-5.6 Luna
Rank#226#34
GPT-5.6 Luna
Quality Rank#226#34
GPT-5.6 Luna
Adoption Rank#226#34
GPT-5.6 Luna
Parameters------
Context Window256K1050K
GPT-5.6 Luna
Pricing$2.50/$10.00/M$0.10/$0.60/M--
Signal Scores
Capabilities
33
100
GPT-5.6 Luna
Benchmarks
51
88
GPT-5.6 Luna
Pricing
90
99
GPT-5.6 Luna
Context window size
86
96
GPT-5.6 Luna
Recency
39
100
GPT-5.6 Luna
Output Capacity
65
85
GPT-5.6 Luna
Benchmark Head-to-Head(11 benchmarks)
Command A: 0GPT-5.6 Luna: 2
Command A
GPT-5.6 Luna
Normalized 0-100%
MMLU
-93%
MMLU-Pro
-84.5%
GPQA Diamond
-85%
MATH-500
-92.5%
HumanEval
-96.5%
SWE-bench Verified
-75%
IFEval
-92%
BBH
-90.5%
Arena Elo
12611465
LiveBench
53.3%76%
HLE
-35%
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 ACompetitive

Scores 51/100 (rank #226), placing it in the top 22% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.6 LunaElite Tier

Scores 89/100 (rank #34), placing it in the top 89% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Luna 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 A when you need:

  • Self-hosted deployments where you need full control over the model

Choose GPT-5.6 Luna when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1050K token context)
  • Multimodal workflows that require image understanding
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Command A
Input cost$2.50/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.246
Est. monthly (1M tokens/day)$187.50
GPT-5.6 LunaBest Value
Input cost$0.10/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.008
Est. monthly (1M tokens/day)$10.50

GPT-5.6 Luna offers 94% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with GPT-5.6 Luna vs $187.50/month with Command A - a $177.00 monthly difference.

Latency & Speed
Command AFaster
Speed score0/100
GPT-5.6 Luna
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 A

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-5.6 Luna also offers lower per-token costs for high-volume support

Command A

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.6 Luna

Batch data extraction

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

GPT-5.6 Luna

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.6 Luna

Image understanding & OCR

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

GPT-5.6 Luna
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna

GPT-5.6 Luna clearly outperforms Command A with a significant 38.2-point lead. For most general use cases, GPT-5.6 Luna is the stronger choice. However, Command A may still excel in niche scenarios.

by Cohere

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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-5.6 Luna
Recommended

by OpenAI

  • Choose for Cost - 94% lower pricing; better value at scale
Capability Comparison
CapabilityCommand AGPT-5.6 Luna
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Command A

Cohere

$16.50
estimated monthly cost

GPT-5.6 Luna

OpenAI

Best Value
$0.9000
estimated monthly cost

GPT-5.6 Luna saves you $15.60/month

That's 95% cheaper than Command A 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 AGPT-5.6 Luna
Context Window256K1.1M
Max Output Tokens8,192128,000
Open SourceYesNo
CreatedMar 13, 2025Jul 9, 2026
Last updated: 34m ago

相关对比

Command A vs GPT-5.6 Luna (2026) | LM Market Cap