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Qwen2.5 VL 72B Instruct vs Sonar Deep Research

vs
Sonar Deep Research

Perplexity

40#345
Signal-by-Signal Comparison
SignalQwen2.5 VL 72B InstructDeltaSonar Deep Research
Capabilities
50
--
50
Pricing
99
+7
92
Context window size
81
--
81
Recency
32
-6
38
Output Capacity
20
--
20
Overall Result
1 wins
of 5
1 wins
It's a tie - both models win 1 signals each

Score History

Score History (25 data points)
Qwen2.5 VL 72B InstructSonar Deep Research
Qwen2.5 VL 72B Instruct

40

current score

Leader

Tied

right now

Sonar Deep Research

40

current score

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

Qwen2.5 VL 72B Instruct

Alibaba

Best Value
Per request$0.000625
Daily$2.08
Monthly$62.50
Annual$750.00

Sonar Deep Research

Perplexity

Per request$0.006000
Daily$20.00
Monthly$600.00
Annual$7200.00

Qwen2.5 VL 72B Instruct saves you $537.50/month

That's $6450.00/year compared to Sonar Deep Research at your current usage level of 100K calls/month.

90% cheaper
Choose Qwen2.5 VL 72B Instruct for cost optimization

Qwen2.5 VL 72B Instruct pricing:
Input:$0.25/M tokens
Output:$0.75/M tokens
Sonar Deep Research pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
Tie
Qwen2.5 VL 72B Instruct

Alibaba

40

Composite Score

Tie
Sonar Deep Research

Perplexity

40

Composite Score

Signal-by-Signal Comparison
MetricQwen2.5 VL 72B InstructSonar Deep ResearchWinner
Overall Score
40
40
--
Rank#347#345
Sonar Deep Research
Quality Rank#347#345
Sonar Deep Research
Adoption Rank#347#345
Sonar Deep Research
Parameters72B----
Context Window128K128K--
Pricing$0.25/$0.75/M$2.00/$8.00/M--
Signal Scores
Capabilities
50
50
Qwen2.5 VL 72B Instruct
Pricing
99
92
Qwen2.5 VL 72B Instruct
Context window size
81
81
Qwen2.5 VL 72B Instruct
Recency
32
38
Sonar Deep Research
Output Capacity
20
20
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.

Qwen2.5 VL 72B InstructEntry Level

Scores 40/100 (rank #347), placing it in the top -19% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Sonar Deep ResearchEntry Level

Scores 40/100 (rank #345), placing it in the top -19% 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 Qwen2.5 VL 72B Instruct when you need:

  • High-volume production workloads where API costs must be minimized
  • Multimodal workflows that require image understanding
  • Self-hosted deployments where you need full control over the model

Choose Sonar Deep Research when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Qwen2.5 VL 72B InstructBest Value
Input cost$0.25/M tokens
Output cost$0.75/M tokens
Cost per quality point$0.025
Est. monthly (1M tokens/day)$15.00
Sonar Deep Research
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.250
Est. monthly (1M tokens/day)$150.00

Qwen2.5 VL 72B Instruct offers 90% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with Qwen2.5 VL 72B Instruct vs $150.00/month with Sonar Deep Research - a $135.00 monthly difference.

Latency & Speed
Qwen2.5 VL 72B InstructFaster
Speed score0/100
Sonar Deep Research
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

Qwen2.5 VL 72B Instruct

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen2.5 VL 72B Instruct also offers lower per-token costs for high-volume support

Qwen2.5 VL 72B Instruct

Long document analysis

Larger context window (128K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen2.5 VL 72B Instruct

Batch data extraction

Lower output pricing ($0.75/M) reduces costs when processing thousands of records daily

Qwen2.5 VL 72B Instruct

Creative writing & content

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

Qwen2.5 VL 72B Instruct

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:
Qwen2.5 VL 72B Instruct

Qwen2.5 VL 72B Instruct and Sonar Deep Research 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 Alibaba

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 90% 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 Perplexity

Consider for specialized use cases.

Capability Comparison
CapabilityQwen2.5 VL 72B InstructSonar Deep Research
Vision (Image Input)differs
Function Calling
Streaming
JSON Modediffers
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Qwen2.5 VL 72B Instruct

Alibaba

Best Value
$1.35
estimated monthly cost

Sonar Deep Research

Perplexity

$13.20
estimated monthly cost

Qwen2.5 VL 72B Instruct saves you $11.85/month

That's 90% cheaper than Sonar Deep Research 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
ParameterQwen2.5 VL 72B InstructSonar Deep Research
Context Window128K128K
Max Output Tokens----
Open SourceYesNo
CreatedFeb 1, 2025Mar 7, 2025
Last updated: 3m ago

相关对比

Qwen2.5 VL 72B Instruct vs Sonar Deep Research (2026) | LM Market Cap