Skip to content

Command A vs Qwen3 235B A22B

Command A

Cohere

51#226
vs
Qwen3 235B A22B

Alibaba

54#220
Signal-by-Signal Comparison
SignalCommand ADeltaQwen3 235B A22B
Capabilities
33
-33
67
Benchmarks
51
-3
55
Pricing
90
-8
98
Context window size
86
+5
81
Recency
40
-8
48
Output Capacity
65
--
65
Overall Result
1 wins
of 6
4 wins
Qwen3 235B A22B wins 4 of 6 signals

Score History

Score History (25 data points)
Command AQwen3 235B A22B
Command A

50.8

current score

Leader

Qwen3 235B A22B

right now

Qwen3 235B A22B

54

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

Qwen3 235B A22B

Alibaba

Best Value
Per request$0.001365
Daily$4.55
Monthly$136.50
Annual$1638.00

Qwen3 235B A22B saves you $613.50/month

That's $7362.00/year compared to Command A at your current usage level of 100K calls/month.

82% cheaper
Choose Qwen3 235B A22B for cost optimization

Command A pricing:
Input:$2.50/M tokens
Output:$10.00/M tokens
Qwen3 235B A22B pricing:
Input:$0.45/M tokens
Output:$1.82/M tokens
Command A

Cohere

51

Composite Score

Winner
Qwen3 235B A22B

Alibaba

54

Composite Score

Signal-by-Signal Comparison
MetricCommand AQwen3 235B A22BWinner
Overall Score
51
54
Qwen3 235B A22B
Rank#226#220
Qwen3 235B A22B
Quality Rank#226#220
Qwen3 235B A22B
Adoption Rank#226#220
Qwen3 235B A22B
Parameters--235B--
Context Window256K131K
Command A
Pricing$2.50/$10.00/M$0.45/$1.82/M--
Signal Scores
Capabilities
33
67
Qwen3 235B A22B
Benchmarks
51
55
Qwen3 235B A22B
Pricing
90
98
Qwen3 235B A22B
Context window size
86
81
Command A
Recency
40
48
Qwen3 235B A22B
Output Capacity
65
65
Command A
Benchmark Head-to-Head(3 benchmarks)
Command A: 0Qwen3 235B: 0
Command A
Qwen3 235B
Normalized 0-100%
MMLU-Pro
-68.2%
Arena Elo
1261-
LiveBench
53.3%-
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
Qwen3 235B A22BCompetitive

Scores 54/100 (rank #220), placing it in the top 24% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 3-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 A when you need:

  • Processing long documents or large codebases (256K token context)
  • Self-hosted deployments where you need full control over the model

Choose Qwen3 235B A22B when you need:

  • High-volume production workloads where API costs must be minimized
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
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
Qwen3 235B A22BBest Value
Input cost$0.45/M tokens
Output cost$1.82/M tokens
Cost per quality point$0.042
Est. monthly (1M tokens/day)$34.13

Qwen3 235B A22B offers 82% better value per quality point. At 1M tokens/day, you'd spend $34.13/month with Qwen3 235B A22B vs $187.50/month with Command A - a $153.38 monthly difference.

Latency & Speed
Command AFaster
Speed score0/100
Qwen3 235B A22B
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. Qwen3 235B A22B also offers lower per-token costs for high-volume support

Command A

Long document analysis

Larger context window (256K tokens) can process longer documents, contracts, and research papers in a single pass

Command A

Batch data extraction

Lower output pricing ($1.82/M) reduces costs when processing thousands of records daily

Qwen3 235B A22B

Creative writing & content

Higher overall composite score (54/100) correlates with better nuance, coherence, and style in long-form content

Qwen3 235B A22B
Which Should You Choose?
Our recommendation:
Qwen3 235B A22B

Qwen3 235B A22B has a moderate advantage with a 3.200000000000003-point lead in composite score. It wins on more signal dimensions, but Command A 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 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
Qwen3 235B A22B
Recommended

by Alibaba

  • Choose for Cost - 82% lower pricing; better value at scale
Capability Comparison
CapabilityCommand AQwen3 235B A22B
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Command A

Cohere

$16.50
estimated monthly cost

Qwen3 235B A22B

Alibaba

Best Value
$3.00
estimated monthly cost

Qwen3 235B A22B saves you $13.50/month

That's 82% 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 AQwen3 235B A22B
Context Window256K131K
Max Output Tokens8,1928,192
Open SourceYesYes
CreatedMar 13, 2025Apr 28, 2025
Last updated: 11m ago

相关对比

Command A vs Qwen3 235B A22B (2026) | LM Market Cap