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Nova Micro 1.0 vs Qwen2.5 72B Instruct

Nova Micro 1.0

Amazon

40#355
vs
Signal-by-Signal Comparison
SignalNova Micro 1.0DeltaQwen2.5 72B Instruct
Capabilities
33
-17
50
Pricing
100
+0
100
Context window size
81
+9
72
Recency
22
+14
8
Output Capacity
62
-8
70
Overall Result
3 wins
of 5
2 wins
Nova Micro 1.0 wins 3 of 5 signals

Score History

Score History (25 data points)
Nova Micro 1.0Qwen2.5 72B Instruct
Nova Micro 1.0

40

current score

Leader

Tied

right now

Qwen2.5 72B Instruct

40

current score

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

Nova Micro 1.0

Amazon

Best Value
Per request$0.000105
Daily$0.35
Monthly$10.50
Annual$126.00

Qwen2.5 72B Instruct

Alibaba

Per request$0.000560
Daily$1.87
Monthly$56.00
Annual$672.00

Nova Micro 1.0 saves you $45.50/month

That's $546.00/year compared to Qwen2.5 72B Instruct at your current usage level of 100K calls/month.

81% cheaper
Choose Nova Micro 1.0 for cost optimization

Nova Micro 1.0 pricing:
Input:$0.04/M tokens
Output:$0.14/M tokens
Qwen2.5 72B Instruct pricing:
Input:$0.36/M tokens
Output:$0.40/M tokens
Tie
Nova Micro 1.0

Amazon

40

Composite Score

Tie
Qwen2.5 72B Instruct

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricNova Micro 1.0Qwen2.5 72B InstructWinner
Overall Score
40
40
--
Rank#355#357
Nova Micro 1.0
Quality Rank#355#357
Nova Micro 1.0
Adoption Rank#355#357
Nova Micro 1.0
Parameters--72B--
Context Window128K33K
Nova Micro 1.0
Pricing$0.04/$0.14/M$0.36/$0.40/M--
Signal Scores
Capabilities
33
50
Qwen2.5 72B Instruct
Pricing
100
100
Nova Micro 1.0
Context window size
81
72
Nova Micro 1.0
Recency
22
8
Nova Micro 1.0
Output Capacity
62
70
Qwen2.5 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.

Nova Micro 1.0Entry Level

Scores 40/100 (rank #355), placing it in the top -22% of all 290 models tracked.

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

Scores 40/100 (rank #357), placing it in the top -23% 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 Nova Micro 1.0 when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (128K token context)

Choose Qwen2.5 72B Instruct when you need:

  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Nova Micro 1.0Best Value
Input cost$0.04/M tokens
Output cost$0.14/M tokens
Cost per quality point$0.004
Est. monthly (1M tokens/day)$2.63
Qwen2.5 72B Instruct
Input cost$0.36/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.019
Est. monthly (1M tokens/day)$11.40

Nova Micro 1.0 offers 77% better value per quality point. At 1M tokens/day, you'd spend $2.63/month with Nova Micro 1.0 vs $11.40/month with Qwen2.5 72B Instruct - a $8.77 monthly difference.

Latency & Speed
Nova Micro 1.0Faster
Speed score0/100
Qwen2.5 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

Nova Micro 1.0

Customer support chatbot

Suitable for user-facing chat with competitive response times. Nova Micro 1.0 also offers lower per-token costs for high-volume support

Nova Micro 1.0

Long document analysis

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

Nova Micro 1.0

Batch data extraction

Lower output pricing ($0.14/M) reduces costs when processing thousands of records daily

Nova Micro 1.0

Creative writing & content

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

Nova Micro 1.0
Which Should You Choose?
Our recommendation:
Nova Micro 1.0

Nova Micro 1.0 and Qwen2.5 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.

Nova Micro 1.0
Recommended

by Amazon

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 77% 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
CapabilityNova Micro 1.0Qwen2.5 72B Instruct
Vision (Image Input)
Function Calling
Streaming
JSON Modediffers
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Nova Micro 1.0

Amazon

Best Value
$0.2310
estimated monthly cost

Qwen2.5 72B Instruct

Alibaba

$1.13
estimated monthly cost

Nova Micro 1.0 saves you $0.8970/month

That's 80% cheaper than Qwen2.5 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
ParameterNova Micro 1.0Qwen2.5 72B Instruct
Context Window128K33K
Max Output Tokens5,12016,384
Open SourceNoYes
CreatedDec 5, 2024Sep 19, 2024
Last updated: 33m ago

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