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Qwen-Plus vs Qwen2.5 VL 72B Instruct

Qwen-Plus

Alibaba

40#392
vs
Signal-by-Signal Comparison
SignalQwen-PlusDeltaQwen2.5 VL 72B Instruct
Capabilities
50
--
50
Pricing
99
+0
99
Context window size
95
+14
81
Recency
24
--
24
Output Capacity
72
-9
81
Overall Result
2 wins
of 5
1 wins
Qwen-Plus wins 2 of 5 signals

Score History

Score History (32 data points)
Qwen-PlusQwen2.5 VL 72B Instruct
Qwen-Plus

40

current score

Leader

Tied

right now

Qwen2.5 VL 72B Instruct

40

current score

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

Qwen-Plus

Alibaba

Best Value
Per request$0.000650
Daily$2.17
Monthly$65.00
Annual$780.00

Qwen2.5 VL 72B Instruct

Alibaba

Per request$0.001300
Daily$4.33
Monthly$130.00
Annual$1560.00

Qwen-Plus saves you $65.00/month

That's $780.00/year compared to Qwen2.5 VL 72B Instruct at your current usage level of 100K calls/month.

50% cheaper
Choose Qwen-Plus for cost optimization

Qwen-Plus pricing:
Input:$0.26/M tokens
Output:$0.78/M tokens
Qwen2.5 VL 72B Instruct pricing:
Input:$0.80/M tokens
Output:$1.00/M tokens
Tie
Qwen-Plus

Alibaba

40

Composite Score

Tie
Qwen2.5 VL 72B Instruct

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricQwen-PlusQwen2.5 VL 72B InstructWinner
Overall Score
40
40
--
Rank#392#391
Qwen2.5 VL 72B Instruct
Quality Rank#392#391
Qwen2.5 VL 72B Instruct
Adoption Rank#392#391
Qwen2.5 VL 72B Instruct
Parameters--72B--
Context Window1000K128K
Qwen-Plus
Pricing$0.26/$0.78/M$0.80/$1.00/M--
Signal Scores
Capabilities
50
50
Qwen-Plus
Pricing
99
99
Qwen-Plus
Context window size
95
81
Qwen-Plus
Recency
24
24
Qwen-Plus
Output Capacity
72
81
Qwen2.5 VL 72B Instruct
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.

Qwen-PlusEntry Level

Scores 40/100 (rank #392), placing it in the top -35% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen2.5 VL 72B InstructEntry Level

Scores 40/100 (rank #391), placing it in the top -34% 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 Qwen-Plus when you need:

  • Processing long documents or large codebases (1000K token context)
  • Agentic applications using tool/function calling

Choose Qwen2.5 VL 72B Instruct when you need:

  • Multimodal workflows that require image understanding
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Qwen-PlusBest Value
Input cost$0.26/M tokens
Output cost$0.78/M tokens
Cost per quality point$0.026
Est. monthly (1M tokens/day)$15.60
Qwen2.5 VL 72B Instruct
Input cost$0.80/M tokens
Output cost$1.00/M tokens
Cost per quality point$0.045
Est. monthly (1M tokens/day)$27.00

Qwen-Plus offers 42% better value per quality point. At 1M tokens/day, you'd spend $15.60/month with Qwen-Plus vs $27.00/month with Qwen2.5 VL 72B Instruct - a $11.40 monthly difference.

Latency & Speed
Qwen-PlusFaster
Speed score0/100
Qwen2.5 VL 72B Instruct
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

Qwen-Plus

Customer support chatbot

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

Qwen-Plus

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen-Plus

Batch data extraction

Lower output pricing ($0.78/M) reduces costs when processing thousands of records daily

Qwen-Plus

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Qwen-Plus

Image understanding & OCR

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

Qwen2.5 VL 72B Instruct
Which Should You Choose?
Our recommendation:
Qwen-Plus

Qwen-Plus and Qwen2.5 VL 72B Instruct 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.

Qwen-Plus
Recommended

by Alibaba

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 42% 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 Alibaba

Consider for specialized use cases.

Capability Comparison
CapabilityQwen-PlusQwen2.5 VL 72B Instruct
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Qwen-Plus

Alibaba

Best Value
$1.40
estimated monthly cost

Qwen2.5 VL 72B Instruct

Alibaba

$2.64
estimated monthly cost

Qwen-Plus saves you $1.24/month

That's 47% cheaper than Qwen2.5 VL 72B Instruct 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
ParameterQwen-PlusQwen2.5 VL 72B Instruct
Context Window1M128K
Max Output Tokens32,768115,200
Open SourceNoYes
CreatedFeb 1, 2025Feb 1, 2025
Last updated: 9m ago

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