Skip to content

Qwen2.5 VL 72B Instruct vs Fugu Max

vs
Fugu Max

sakana

40#256
Signal-by-Signal Comparison
SignalQwen2.5 VL 72B InstructDeltaFugu Max
Capabilities
50
-50
100
Pricing
99
+5
94
Context window size
81
-14
95
Recency
24
-76
100
Output Capacity
81
-1
82
Overall Result
1 wins
of 5
4 wins
Fugu Max wins 4 of 5 signals

Score History

Score History (32 data points)
Qwen2.5 VL 72B InstructFugu Max
Qwen2.5 VL 72B Instruct

40

current score

Leader

Tied

right now

Fugu Max

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$0.001300
Daily$4.33
Monthly$130.00
Annual$1560.00

Fugu Max

sakana

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

Qwen2.5 VL 72B Instruct saves you $370.00/month

That's $4440.00/year compared to Fugu Max at your current usage level of 100K calls/month.

74% cheaper
Choose Qwen2.5 VL 72B Instruct for cost optimization

Qwen2.5 VL 72B Instruct pricing:
Input:$0.80/M tokens
Output:$1.00/M tokens
Fugu Max pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Tie
Qwen2.5 VL 72B Instruct

Alibaba

40

Composite Score

Tie
Fugu Max

sakana

40

Composite Score

Signal-by-Signal Comparison
MetricQwen2.5 VL 72B InstructFugu MaxWinner
Overall Score
40
40
--
Rank#399#256
Fugu Max
Quality Rank#399#256
Fugu Max
Adoption Rank#399#256
Fugu Max
Parameters72B----
Context Window128K1000K
Fugu Max
Pricing$0.80/$1.00/M$2.00/$6.00/M--
Signal Scores
Capabilities
50
100
Fugu Max
Pricing
99
94
Qwen2.5 VL 72B Instruct
Context window size
81
95
Fugu Max
Recency
24
100
Fugu Max
Output Capacity
81
82
Fugu Max
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 #399), placing it in the top -37% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Fugu MaxEntry Level

Scores 40/100 (rank #256), placing it in the top 12% 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
  • Self-hosted deployments where you need full control over the model

Choose Fugu Max when you need:

  • Processing long documents or large codebases (1000K token context)
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Qwen2.5 VL 72B InstructBest Value
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
Fugu Max
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.200
Est. monthly (1M tokens/day)$120.00

Qwen2.5 VL 72B Instruct offers 78% better value per quality point. At 1M tokens/day, you'd spend $27.00/month with Qwen2.5 VL 72B Instruct vs $120.00/month with Fugu Max - a $93.00 monthly difference.

Latency & Speed
Qwen2.5 VL 72B InstructFaster
Speed score0/100
Fugu Max
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 (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Fugu Max

Batch data extraction

Lower output pricing ($1.00/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 Fugu Max 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 - 78% 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 sakana

Consider for specialized use cases.

Capability Comparison
CapabilityQwen2.5 VL 72B InstructFugu Max
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Mode
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
$2.64
estimated monthly cost

Fugu Max

sakana

$10.80
estimated monthly cost

Qwen2.5 VL 72B Instruct saves you $8.16/month

That's 76% cheaper than Fugu Max 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 InstructFugu Max
Context Window128K1M
Max Output Tokens115,200128,000
Open SourceYesNo
CreatedFeb 1, 2025Sep 11, 2026
Last updated: 28m ago

相关对比

Qwen2.5 VL 72B Instruct vs Fugu Max (2026) | LM Market Cap